Spaces:
Sleeping
Sleeping
Kit-Lemonfoot
commited on
Commit
•
dcb0521
1
Parent(s):
9bf15a9
Added more Holostars, more Phase, Kizuna, updated Pekora and Kaela, and fixed many bugs.
Browse files- app.py +78 -22
- edgetts_db.py +230 -0
app.py
CHANGED
@@ -27,20 +27,23 @@ from lib.infer_pack.models import (
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)
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from vc_infer_pipeline import VC
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from config import Config
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config = Config()
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logging.getLogger("numba").setLevel(logging.WARNING)
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limitation = os.getenv("SYSTEM") == "spaces"
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#limitation=True
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audio_mode = []
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f0method_mode = []
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if limitation is True:
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f0method_info = "PM is better for testing, RMVPE is better for finalized generations. (Default: RMVPE)"
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audio_mode = ["TTS
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f0method_mode = ["pm", "rmvpe"]
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else:
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f0method_info = "PM is fast but low quality, crepe and harvest are slow but good quality, RMVPE is the best of both worlds. (Default: RMVPE)"
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audio_mode = ["TTS
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f0method_mode = ["pm", "crepe", "harvest", "rmvpe"]
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#if os.path.isfile("rmvpe.pt"):
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@@ -54,7 +57,7 @@ vcArr.append(VC(32000, config))
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vcArr.append(VC(40000, config))
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vcArr.append(VC(48000, config))
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def infer(name, path, index, vc_audio_mode, vc_input, vc_upload, tts_text, tts_voice, f0_up_key, f0_method, index_rate, filter_radius, resample_sr, rms_mix_rate, protect):
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try:
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#Setup audio
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if vc_audio_mode == "Input path" or "Youtube" and vc_input != "":
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@@ -71,17 +74,35 @@ def infer(name, path, index, vc_audio_mode, vc_input, vc_upload, tts_text, tts_v
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audio = librosa.to_mono(audio.transpose(1, 0))
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if sampling_rate != 16000:
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audio = librosa.resample(audio, orig_sr=sampling_rate, target_sr=16000)
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-
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if len(tts_text) > 250 and limitation:
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return "Text is too long.", None
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if tts_text is None or tts_voice is None:
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return "You need to enter text and select a voice.", None
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duration = audio.shape[0] / sr
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if duration > 30 and limitation:
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return "Your text generated an audio that was too long.", None
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vc_input = "tts.mp3"
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times = [0, 0, 0]
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f0_up_key = int(f0_up_key)
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@@ -264,9 +285,11 @@ def change_audio_mode(vc_audio_mode):
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gr.Slider.update(visible=False),
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gr.Audio.update(visible=False),
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gr.Button.update(visible=False),
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#
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gr.Textbox.update(visible=False),
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gr.Dropdown.update(visible=False)
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)
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elif vc_audio_mode == "Upload audio":
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return (
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@@ -284,9 +307,11 @@ def change_audio_mode(vc_audio_mode):
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gr.Slider.update(visible=False),
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gr.Audio.update(visible=False),
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gr.Button.update(visible=False),
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-
#
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gr.Textbox.update(visible=False),
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gr.Dropdown.update(visible=False)
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)
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elif vc_audio_mode == "Youtube":
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return (
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@@ -306,9 +331,11 @@ def change_audio_mode(vc_audio_mode):
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gr.Button.update(visible=True),
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# TTS
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gr.Textbox.update(visible=False),
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gr.Dropdown.update(visible=False)
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)
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elif vc_audio_mode == "TTS
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return (
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# Input & Upload
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gr.Textbox.update(visible=False),
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@@ -326,7 +353,31 @@ def change_audio_mode(vc_audio_mode):
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gr.Button.update(visible=False),
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# TTS
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gr.Textbox.update(visible=True),
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gr.Dropdown.update(visible=True)
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)
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else:
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return (
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@@ -346,14 +397,15 @@ def change_audio_mode(vc_audio_mode):
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gr.Button.update(visible=False),
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# TTS
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gr.Textbox.update(visible=False, interactive=True),
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gr.Dropdown.update(visible=False, interactive=True)
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)
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if __name__ == '__main__':
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load_hubert()
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categories = load_model()
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-
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voices = [f"{v['ShortName']}-{v['Gender']}" for v in tts_voice_list]
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with gr.Blocks(theme=gr.themes.Base()) as app:
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gr.Markdown(
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"# <center> VTuber RVC Models\n"
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@@ -383,7 +435,7 @@ if __name__ == '__main__':
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)
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with gr.Row():
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with gr.Column():
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vc_audio_mode = gr.Dropdown(label="Input voice", choices=audio_mode, allow_custom_value=False, value="TTS
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# Input and Upload
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vc_input = gr.Textbox(label="Input audio path", visible=False)
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vc_upload = gr.Audio(label="Upload audio file", visible=False, interactive=True)
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@@ -397,7 +449,9 @@ if __name__ == '__main__':
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vc_audio_preview = gr.Audio(label="Audio Preview", visible=False)
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# TTS
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tts_text = gr.Textbox(visible=True, label="TTS text", info="Text to speech input (There is a limit of 250 characters)", interactive=True)
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tts_voice = gr.Dropdown(label="Edge-tts speaker", choices=voices, visible=True, allow_custom_value=False, value="
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with gr.Column():
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vc_transform0 = gr.Number(label="Transpose", value=0, info='Type "12" to change from male to female voice. Type "-12" to change female to male voice')
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f0method0 = gr.Radio(
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@@ -489,6 +543,7 @@ if __name__ == '__main__':
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resample_sr0,
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rms_mix_rate0,
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protect0,
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],
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outputs=[vc_log, vc_output]
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)
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@@ -519,15 +574,16 @@ if __name__ == '__main__':
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vc_combined_output,
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vc_combine,
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tts_text,
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-
tts_voice
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]
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)
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gr.Markdown(
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"## <center>Credit to:\n"
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"#### <center>Original devs:\n"
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-
"<center>the RVC Project, lj1995, zomehwh \n\n"
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"#### <center>Model creators:\n"
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-
"<center>dacoolkid44, Hijack, Maki Ligon, megaaziib, KitLemonfoot, yeey5, Sui, MahdeenSky, Itaxhix, Acato, Kyuubical, Listra92, IshimaIshimsky, ZomballTH, Jotape91, RigidSpinner, RandomAssBettel, Mimizukari, Oida, Shu-Kun, Nhat Minh, Ardha27, Legitdark, TempoHawk, 0x3e9, Kaiaya, Skeetawn, Sonphantrung, Pianissimo, Gloomwastragic, Sunesu, Aimbo, Act8113, Blyxeen\n"
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)
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if limitation is True:
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app.queue(concurrency_count=1, max_size=20, api_open=config.api).launch(share=config.colab)
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)
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from vc_infer_pipeline import VC
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from config import Config
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from edgetts_db import tts_order_voice
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config = Config()
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logging.getLogger("numba").setLevel(logging.WARNING)
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limitation = os.getenv("SYSTEM") == "spaces"
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#limitation=True
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language_dict = tts_order_voice
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audio_mode = []
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f0method_mode = []
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if limitation is True:
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f0method_info = "PM is better for testing, RMVPE is better for finalized generations. (Default: RMVPE)"
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audio_mode = ["Edge-TTS", "Upload audio", "Record Audio"]
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f0method_mode = ["pm", "rmvpe"]
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else:
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f0method_info = "PM is fast but low quality, crepe and harvest are slow but good quality, RMVPE is the best of both worlds. (Default: RMVPE)"
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audio_mode = ["Edge-TTS", "Youtube", "Upload audio", "Record Audio"]
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f0method_mode = ["pm", "crepe", "harvest", "rmvpe"]
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#if os.path.isfile("rmvpe.pt"):
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vcArr.append(VC(40000, config))
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vcArr.append(VC(48000, config))
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+
def infer(name, path, index, vc_audio_mode, vc_input, vc_upload, tts_text, tts_voice, f0_up_key, f0_method, index_rate, filter_radius, resample_sr, rms_mix_rate, protect, record_button):
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try:
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#Setup audio
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if vc_audio_mode == "Input path" or "Youtube" and vc_input != "":
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audio = librosa.to_mono(audio.transpose(1, 0))
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if sampling_rate != 16000:
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audio = librosa.resample(audio, orig_sr=sampling_rate, target_sr=16000)
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tts_text = "Uploaded Audio"
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elif vc_audio_mode == "Edge-TTS":
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if len(tts_text) > 250 and limitation:
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return "Text is too long.", None
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if tts_text is None or tts_voice is None or tts_text=="":
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return "You need to enter text and select a voice.", None
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voice = language_dict[tts_voice]
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asyncio.run(edge_tts.Communicate(tts_text, voice).save("tts.mp3"))
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try:
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audio, sr = librosa.load("tts.mp3", sr=16000, mono=True)
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except:
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return "ERROR: Invalid characters for the chosen TTS speaker. (Change your TTS speaker to one that supports your language!)", None
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duration = audio.shape[0] / sr
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if duration > 30 and limitation:
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return "Your text generated an audio that was too long.", None
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vc_input = "tts.mp3"
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elif vc_audio_mode == "Record Audio":
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if record_button is None:
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return "Please record some audio.", None
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sampling_rate, audio = record_button
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duration = audio.shape[0] / sampling_rate
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if duration > 60 and limitation:
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return "Too long! Please record an audio file that is less than 1 minute.", None
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audio = (audio / np.iinfo(audio.dtype).max).astype(np.float32)
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if len(audio.shape) > 1:
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audio = librosa.to_mono(audio.transpose(1, 0))
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if sampling_rate != 16000:
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audio = librosa.resample(audio, orig_sr=sampling_rate, target_sr=16000)
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tts_text = "Recorded Audio"
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times = [0, 0, 0]
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f0_up_key = int(f0_up_key)
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gr.Slider.update(visible=False),
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gr.Audio.update(visible=False),
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gr.Button.update(visible=False),
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# EdgeTTS
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gr.Textbox.update(visible=False),
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gr.Dropdown.update(visible=False),
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# Record Own
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gr.Audio.update(visible=False)
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)
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elif vc_audio_mode == "Upload audio":
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return (
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gr.Slider.update(visible=False),
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gr.Audio.update(visible=False),
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gr.Button.update(visible=False),
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# EdgeTTS
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gr.Textbox.update(visible=False),
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gr.Dropdown.update(visible=False),
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# Record Own
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gr.Audio.update(visible=False)
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)
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elif vc_audio_mode == "Youtube":
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return (
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gr.Button.update(visible=True),
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# TTS
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gr.Textbox.update(visible=False),
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gr.Dropdown.update(visible=False),
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# Record Own
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gr.Audio.update(visible=False)
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)
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elif vc_audio_mode == "Edge-TTS":
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return (
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# Input & Upload
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gr.Textbox.update(visible=False),
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gr.Button.update(visible=False),
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# TTS
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gr.Textbox.update(visible=True),
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gr.Dropdown.update(visible=True),
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# Record Own
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gr.Audio.update(visible=False)
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)
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elif vc_audio_mode == "Record Audio":
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return (
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# Input & Upload
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gr.Textbox.update(visible=False),
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gr.Audio.update(visible=False),
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# Youtube
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gr.Dropdown.update(visible=False),
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gr.Textbox.update(visible=False),
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gr.Dropdown.update(visible=False),
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gr.Button.update(visible=False),
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gr.Audio.update(visible=False),
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gr.Audio.update(visible=False),
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gr.Audio.update(visible=False),
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gr.Slider.update(visible=False),
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gr.Audio.update(visible=False),
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gr.Button.update(visible=False),
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# TTS
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gr.Textbox.update(visible=False),
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gr.Dropdown.update(visible=False),
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# Record Own
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gr.Audio.update(visible=True)
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)
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else:
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return (
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gr.Button.update(visible=False),
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# TTS
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gr.Textbox.update(visible=False, interactive=True),
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gr.Dropdown.update(visible=False, interactive=True),
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# Record Own
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gr.Audio.update(visible=False)
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)
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if __name__ == '__main__':
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load_hubert()
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categories = load_model()
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voices = list(language_dict.keys())
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with gr.Blocks(theme=gr.themes.Base()) as app:
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gr.Markdown(
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"# <center> VTuber RVC Models\n"
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)
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with gr.Row():
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with gr.Column():
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vc_audio_mode = gr.Dropdown(label="Input voice", choices=audio_mode, allow_custom_value=False, value="Edge-TTS")
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# Input and Upload
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vc_input = gr.Textbox(label="Input audio path", visible=False)
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vc_upload = gr.Audio(label="Upload audio file", visible=False, interactive=True)
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vc_audio_preview = gr.Audio(label="Audio Preview", visible=False)
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# TTS
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tts_text = gr.Textbox(visible=True, label="TTS text", info="Text to speech input (There is a limit of 250 characters)", interactive=True)
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tts_voice = gr.Dropdown(label="Edge-tts speaker", choices=voices, visible=True, allow_custom_value=False, value="English-Ana (Female)", interactive=True)
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# Record Own
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record_button = gr.Audio(source="microphone", label="Record your own audio", visible=False, interactive=True)
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with gr.Column():
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vc_transform0 = gr.Number(label="Transpose", value=0, info='Type "12" to change from male to female voice. Type "-12" to change female to male voice')
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f0method0 = gr.Radio(
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resample_sr0,
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rms_mix_rate0,
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protect0,
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record_button
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],
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outputs=[vc_log, vc_output]
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)
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vc_combined_output,
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vc_combine,
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tts_text,
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tts_voice,
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record_button
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]
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)
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gr.Markdown(
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"## <center>Credit to:\n"
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"#### <center>Original devs:\n"
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"<center>the RVC Project, lj1995, zomehwh, sysf\n\n"
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"#### <center>Model creators:\n"
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+
"<center>dacoolkid44, Hijack, Maki Ligon, megaaziib, KitLemonfoot, yeey5, Sui, MahdeenSky, Itaxhix, Acato, Kyuubical, Listra92, IshimaIshimsky, ZomballTH, Jotape91, RigidSpinner, RandomAssBettel, Mimizukari, Oida, Shu-Kun, Nhat Minh, Ardha27, Legitdark, TempoHawk, 0x3e9, Kaiaya, Skeetawn, Sonphantrung, Pianissimo, RavenCutie21, Gloomwastragic, Sunesu, Aimbo, Act8113, Blyxeen\n"
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)
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if limitation is True:
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app.queue(concurrency_count=1, max_size=20, api_open=config.api).launch(share=config.colab)
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edgetts_db.py
ADDED
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1 |
+
tts_order_voice = {'English-Jenny (Female)': 'en-US-JennyNeural',
|
2 |
+
'English-Guy (Male)': 'en-US-GuyNeural',
|
3 |
+
'English-Ana (Female)': 'en-US-AnaNeural',
|
4 |
+
'English-Aria (Female)': 'en-US-AriaNeural',
|
5 |
+
'English-Christopher (Male)': 'en-US-ChristopherNeural',
|
6 |
+
'English-Eric (Male)': 'en-US-EricNeural',
|
7 |
+
'English-Michelle (Female)': 'en-US-MichelleNeural',
|
8 |
+
'English-Roger (Male)': 'en-US-RogerNeural',
|
9 |
+
'Spanish (Mexican)-Dalia (Female)': 'es-MX-DaliaNeural',
|
10 |
+
'Spanish (Mexican)-Jorge- (Male)': 'es-MX-JorgeNeural',
|
11 |
+
'Korean-Sun-Hi- (Female)': 'ko-KR-SunHiNeural',
|
12 |
+
'Korean-InJoon- (Male)': 'ko-KR-InJoonNeural',
|
13 |
+
'Thai-Premwadee- (Female)': 'th-TH-PremwadeeNeural',
|
14 |
+
'Thai-Niwat- (Male)': 'th-TH-NiwatNeural',
|
15 |
+
'Vietnamese-HoaiMy- (Female)': 'vi-VN-HoaiMyNeural',
|
16 |
+
'Vietnamese-NamMinh- (Male)': 'vi-VN-NamMinhNeural',
|
17 |
+
'Japanese-Nanami- (Female)': 'ja-JP-NanamiNeural',
|
18 |
+
'Japanese-Keita- (Male)': 'ja-JP-KeitaNeural',
|
19 |
+
'French-Denise- (Female)': 'fr-FR-DeniseNeural',
|
20 |
+
'French-Eloise- (Female)': 'fr-FR-EloiseNeural',
|
21 |
+
'French-Henri- (Male)': 'fr-FR-HenriNeural',
|
22 |
+
'Brazilian-Francisca- (Female)': 'pt-BR-FranciscaNeural',
|
23 |
+
'Brazilian-Antonio- (Male)': 'pt-BR-AntonioNeural',
|
24 |
+
'Indonesian-Ardi- (Male)': 'id-ID-ArdiNeural',
|
25 |
+
'Indonesian-Gadis- (Female)': 'id-ID-GadisNeural',
|
26 |
+
'Hebrew-Avri- (Male)': 'he-IL-AvriNeural',
|
27 |
+
'Hebrew-Hila- (Female)': 'he-IL-HilaNeural',
|
28 |
+
'Italian-Isabella- (Female)': 'it-IT-IsabellaNeural',
|
29 |
+
'Italian-Diego- (Male)': 'it-IT-DiegoNeural',
|
30 |
+
'Italian-Elsa- (Female)': 'it-IT-ElsaNeural',
|
31 |
+
'Dutch-Colette- (Female)': 'nl-NL-ColetteNeural',
|
32 |
+
'Dutch-Fenna- (Female)': 'nl-NL-FennaNeural',
|
33 |
+
'Dutch-Maarten- (Male)': 'nl-NL-MaartenNeural',
|
34 |
+
'Malese-Osman- (Male)': 'ms-MY-OsmanNeural',
|
35 |
+
'Malese-Yasmin- (Female)': 'ms-MY-YasminNeural',
|
36 |
+
'Norwegian-Pernille- (Female)': 'nb-NO-PernilleNeural',
|
37 |
+
'Norwegian-Finn- (Male)': 'nb-NO-FinnNeural',
|
38 |
+
'Swedish-Sofie- (Female)': 'sv-SE-SofieNeural',
|
39 |
+
'ArabicSwedish-Mattias- (Male)': 'sv-SE-MattiasNeural',
|
40 |
+
'Arabic-Hamed- (Male)': 'ar-SA-HamedNeural',
|
41 |
+
'Arabic-Zariyah- (Female)': 'ar-SA-ZariyahNeural',
|
42 |
+
'Greek-Athina- (Female)': 'el-GR-AthinaNeural',
|
43 |
+
'Greek-Nestoras- (Male)': 'el-GR-NestorasNeural',
|
44 |
+
'German-Katja- (Female)': 'de-DE-KatjaNeural',
|
45 |
+
'German-Amala- (Female)': 'de-DE-AmalaNeural',
|
46 |
+
'German-Conrad- (Male)': 'de-DE-ConradNeural',
|
47 |
+
'German-Killian- (Male)': 'de-DE-KillianNeural',
|
48 |
+
'Afrikaans-Adri- (Female)': 'af-ZA-AdriNeural',
|
49 |
+
'Afrikaans-Willem- (Male)': 'af-ZA-WillemNeural',
|
50 |
+
'Ethiopian-Ameha- (Male)': 'am-ET-AmehaNeural',
|
51 |
+
'Ethiopian-Mekdes- (Female)': 'am-ET-MekdesNeural',
|
52 |
+
'Arabic (UAD)-Fatima- (Female)': 'ar-AE-FatimaNeural',
|
53 |
+
'Arabic (UAD)-Hamdan- (Male)': 'ar-AE-HamdanNeural',
|
54 |
+
'Arabic (Bahrain)-Ali- (Male)': 'ar-BH-AliNeural',
|
55 |
+
'Arabic (Bahrain)-Laila- (Female)': 'ar-BH-LailaNeural',
|
56 |
+
'Arabic (Algeria)-Ismael- (Male)': 'ar-DZ-IsmaelNeural',
|
57 |
+
'Arabic (Egypt)-Salma- (Female)': 'ar-EG-SalmaNeural',
|
58 |
+
'Arabic (Egypt)-Shakir- (Male)': 'ar-EG-ShakirNeural',
|
59 |
+
'Arabic (Iraq)-Bassel- (Male)': 'ar-IQ-BasselNeural',
|
60 |
+
'Arabic (Iraq)-Rana- (Female)': 'ar-IQ-RanaNeural',
|
61 |
+
'Arabic (Jordan)-Sana- (Female)': 'ar-JO-SanaNeural',
|
62 |
+
'Arabic (Jordan)-Taim- (Male)': 'ar-JO-TaimNeural',
|
63 |
+
'Arabic (Kuwait)-Fahed- (Male)': 'ar-KW-FahedNeural',
|
64 |
+
'Arabic (Kuwait)-Noura- (Female)': 'ar-KW-NouraNeural',
|
65 |
+
'Arabic (Lebanon)-Layla- (Female)': 'ar-LB-LaylaNeural',
|
66 |
+
'Arabic (Lebanon)-Rami- (Male)': 'ar-LB-RamiNeural',
|
67 |
+
'Arabic (Libya)-Iman- (Female)': 'ar-LY-ImanNeural',
|
68 |
+
'Arabic (Libya)-Omar- (Male)': 'ar-LY-OmarNeural',
|
69 |
+
'Arabic (Morocco)-Jamal- (Male)': 'ar-MA-JamalNeural',
|
70 |
+
'Arabic (Morocco)-Mouna- (Female)': 'ar-MA-MounaNeural',
|
71 |
+
'Arabic (Oman)-Abdullah- (Male)': 'ar-OM-AbdullahNeural',
|
72 |
+
'Arabic (Oman)-Aysha- (Female)': 'ar-OM-AyshaNeural',
|
73 |
+
'Arabic (Qatar)-Amal- (Female)': 'ar-QA-AmalNeural',
|
74 |
+
'Arabic (Qatar)-Moaz- (Male)': 'ar-QA-MoazNeural',
|
75 |
+
'Arabic (Syrian Arab Republic)-Amany- (Female)': 'ar-SY-AmanyNeural',
|
76 |
+
'Arabic (Syrian Arab Republic)-Laith- (Male)': 'ar-SY-LaithNeural',
|
77 |
+
'Arabic (Tunisia)-Hedi- (Male)': 'ar-TN-HediNeural',
|
78 |
+
'Arabic (Tunisia)-Reem- (Female)': 'ar-TN-ReemNeural',
|
79 |
+
'Arabic (Yemen )-Maryam- (Female)': 'ar-YE-MaryamNeural',
|
80 |
+
'Arabic (Yemen )-Saleh- (Male)': 'ar-YE-SalehNeural',
|
81 |
+
'Azerbaijani-Babek- (Male)': 'az-AZ-BabekNeural',
|
82 |
+
'Azerbaijani-Banu- (Female)': 'az-AZ-BanuNeural',
|
83 |
+
'Bulgarian-Borislav- (Male)': 'bg-BG-BorislavNeural',
|
84 |
+
'Bulgarian-Kalina- (Female)': 'bg-BG-KalinaNeural',
|
85 |
+
'Bengali (Bangladesh)-Nabanita- (Female)': 'bn-BD-NabanitaNeural',
|
86 |
+
'Bengali (Bangladesh)-Pradeep- (Male)': 'bn-BD-PradeepNeural',
|
87 |
+
'Bengali (India)-Bashkar- (Male)': 'bn-IN-BashkarNeural',
|
88 |
+
'Bengali (India)-Tanishaa- (Female)': 'bn-IN-TanishaaNeural',
|
89 |
+
'Bosniak (Bosnia and Herzegovina)-Goran- (Male)': 'bs-BA-GoranNeural',
|
90 |
+
'Bosniak (Bosnia and Herzegovina)-Vesna- (Female)': 'bs-BA-VesnaNeural',
|
91 |
+
'Catalan (Spain)-Joana- (Female)': 'ca-ES-JoanaNeural',
|
92 |
+
'Catalan (Spain)-Enric- (Male)': 'ca-ES-EnricNeural',
|
93 |
+
'Czech (Czech Republic)-Antonin- (Male)': 'cs-CZ-AntoninNeural',
|
94 |
+
'Czech (Czech Republic)-Vlasta- (Female)': 'cs-CZ-VlastaNeural',
|
95 |
+
'Welsh (UK)-Aled- (Male)': 'cy-GB-AledNeural',
|
96 |
+
'Welsh (UK)-Nia- (Female)': 'cy-GB-NiaNeural',
|
97 |
+
'Danish (Denmark)-Christel- (Female)': 'da-DK-ChristelNeural',
|
98 |
+
'Danish (Denmark)-Jeppe- (Male)': 'da-DK-JeppeNeural',
|
99 |
+
'German (Austria)-Ingrid- (Female)': 'de-AT-IngridNeural',
|
100 |
+
'German (Austria)-Jonas- (Male)': 'de-AT-JonasNeural',
|
101 |
+
'German (Switzerland)-Jan- (Male)': 'de-CH-JanNeural',
|
102 |
+
'German (Switzerland)-Leni- (Female)': 'de-CH-LeniNeural',
|
103 |
+
'English (Australia)-Natasha- (Female)': 'en-AU-NatashaNeural',
|
104 |
+
'English (Australia)-William- (Male)': 'en-AU-WilliamNeural',
|
105 |
+
'English (Canada)-Clara- (Female)': 'en-CA-ClaraNeural',
|
106 |
+
'English (Canada)-Liam- (Male)': 'en-CA-LiamNeural',
|
107 |
+
'English (UK)-Libby- (Female)': 'en-GB-LibbyNeural',
|
108 |
+
'English (UK)-Maisie- (Female)': 'en-GB-MaisieNeural',
|
109 |
+
'English (UK)-Ryan- (Male)': 'en-GB-RyanNeural',
|
110 |
+
'English (UK)-Sonia- (Female)': 'en-GB-SoniaNeural',
|
111 |
+
'English (UK)-Thomas- (Male)': 'en-GB-ThomasNeural',
|
112 |
+
'English (Hong Kong)-Sam- (Male)': 'en-HK-SamNeural',
|
113 |
+
'English (Hong Kong)-Yan- (Female)': 'en-HK-YanNeural',
|
114 |
+
'English (Ireland)-Connor- (Male)': 'en-IE-ConnorNeural',
|
115 |
+
'English (Ireland)-Emily- (Female)': 'en-IE-EmilyNeural',
|
116 |
+
'English (India)-Neerja- (Female)': 'en-IN-NeerjaNeural',
|
117 |
+
'English (India)-Prabhat- (Male)': 'en-IN-PrabhatNeural',
|
118 |
+
'English (Kenya)-Asilia- (Female)': 'en-KE-AsiliaNeural',
|
119 |
+
'English (Kenya)-Chilemba- (Male)': 'en-KE-ChilembaNeural',
|
120 |
+
'English (Nigeria)-Abeo- (Male)': 'en-NG-AbeoNeural',
|
121 |
+
'English (Nigeria)-Ezinne- (Female)': 'en-NG-EzinneNeural',
|
122 |
+
'English (New Zealand)-Mitchell- (Male)': 'en-NZ-MitchellNeural',
|
123 |
+
'English (Philippines)-James- (Male)': 'en-PH-JamesNeural',
|
124 |
+
'English (Philippines)-Rosa- (Female)': 'en-PH-RosaNeural',
|
125 |
+
'English (Singapore)-Luna- (Female)': 'en-SG-LunaNeural',
|
126 |
+
'English (Singapore)-Wayne- (Male)': 'en-SG-WayneNeural',
|
127 |
+
'English (Tanzania)-Elimu- (Male)': 'en-TZ-ElimuNeural',
|
128 |
+
'English (Tanzania)-Imani- (Female)': 'en-TZ-ImaniNeural',
|
129 |
+
'English (South Africa)-Leah- (Female)': 'en-ZA-LeahNeural',
|
130 |
+
'English (South Africa)-Luke- (Male)': 'en-ZA-LukeNeural',
|
131 |
+
'Spanish (Argentina)-Elena- (Female)': 'es-AR-ElenaNeural',
|
132 |
+
'Spanish (Argentina)-Tomas- (Male)': 'es-AR-TomasNeural',
|
133 |
+
'Spanish (Bolivia)-Marcelo- (Male)': 'es-BO-MarceloNeural',
|
134 |
+
'Spanish (Bolivia)-Sofia- (Female)': 'es-BO-SofiaNeural',
|
135 |
+
'Spanish (Colombia)-Gonzalo- (Male)': 'es-CO-GonzaloNeural',
|
136 |
+
'Spanish (Colombia)-Salome- (Female)': 'es-CO-SalomeNeural',
|
137 |
+
'Spanish (Costa Rica)-Juan- (Male)': 'es-CR-JuanNeural',
|
138 |
+
'Spanish (Costa Rica)-Maria- (Female)': 'es-CR-MariaNeural',
|
139 |
+
'Spanish (Cuba)-Belkys- (Female)': 'es-CU-BelkysNeural',
|
140 |
+
'Spanish (Dominican Republic)-Emilio- (Male)': 'es-DO-EmilioNeural',
|
141 |
+
'Spanish (Dominican Republic)-Ramona- (Female)': 'es-DO-RamonaNeural',
|
142 |
+
'Spanish (Ecuador)-Andrea- (Female)': 'es-EC-AndreaNeural',
|
143 |
+
'Spanish (Ecuador)-Luis- (Male)': 'es-EC-LuisNeural',
|
144 |
+
'Spanish (Spain)-Alvaro- (Male)': 'es-ES-AlvaroNeural',
|
145 |
+
'Spanish (Spain)-Elvira- (Female)': 'es-ES-ElviraNeural',
|
146 |
+
'Spanish (Equatorial Guinea)-Teresa- (Female)': 'es-GQ-TeresaNeural',
|
147 |
+
'Spanish (Guatemala)-Andres- (Male)': 'es-GT-AndresNeural',
|
148 |
+
'Spanish (Guatemala)-Marta- (Female)': 'es-GT-MartaNeural',
|
149 |
+
'Spanish (Honduras)-Carlos- (Male)': 'es-HN-CarlosNeural',
|
150 |
+
'Spanish (Honduras)-Karla- (Female)': 'es-HN-KarlaNeural',
|
151 |
+
'Spanish (Nicaragua)-Federico- (Male)': 'es-NI-FedericoNeural',
|
152 |
+
'Spanish (Nicaragua)-Yolanda- (Female)': 'es-NI-YolandaNeural',
|
153 |
+
'Spanish (Panama)-Margarita- (Female)': 'es-PA-MargaritaNeural',
|
154 |
+
'Spanish (Panama)-Roberto- (Male)': 'es-PA-RobertoNeural',
|
155 |
+
'Spanish (Peru)-Alex- (Male)': 'es-PE-AlexNeural',
|
156 |
+
'Spanish (Peru)-Camila- (Female)': 'es-PE-CamilaNeural',
|
157 |
+
'Spanish (Puerto Rico)-Karina- (Female)': 'es-PR-KarinaNeural',
|
158 |
+
'Spanish (Puerto Rico)-Victor- (Male)': 'es-PR-VictorNeural',
|
159 |
+
'Spanish (Paraguay)-Mario- (Male)': 'es-PY-MarioNeural',
|
160 |
+
'Spanish (Paraguay)-Tania- (Female)': 'es-PY-TaniaNeural',
|
161 |
+
'Spanish (El Salvador)-Lorena- (Female)': 'es-SV-LorenaNeural',
|
162 |
+
'Spanish (El Salvador)-Rodrigo- (Male)': 'es-SV-RodrigoNeural',
|
163 |
+
'Spanish (United States)-Alonso- (Male)': 'es-US-AlonsoNeural',
|
164 |
+
'Spanish (United States)-Paloma- (Female)': 'es-US-PalomaNeural',
|
165 |
+
'Spanish (Uruguay)-Mateo- (Male)': 'es-UY-MateoNeural',
|
166 |
+
'Spanish (Uruguay)-Valentina- (Female)': 'es-UY-ValentinaNeural',
|
167 |
+
'Spanish (Venezuela)-Paola- (Female)': 'es-VE-PaolaNeural',
|
168 |
+
'Spanish (Venezuela)-Sebastian- (Male)': 'es-VE-SebastianNeural',
|
169 |
+
'Estonian (Estonia)-Anu- (Female)': 'et-EE-AnuNeural',
|
170 |
+
'Estonian (Estonia)-Kert- (Male)': 'et-EE-KertNeural',
|
171 |
+
'Persian (Iran)-Dilara- (Female)': 'fa-IR-DilaraNeural',
|
172 |
+
'Persian (Iran)-Farid- (Male)': 'fa-IR-FaridNeural',
|
173 |
+
'Finnish (Finland)-Harri- (Male)': 'fi-FI-HarriNeural',
|
174 |
+
'Finnish (Finland)-Noora- (Female)': 'fi-FI-NooraNeural',
|
175 |
+
'French (Belgium)-Charline- (Female)': 'fr-BE-CharlineNeural',
|
176 |
+
'French (Belgium)-Gerard- (Male)': 'fr-BE-GerardNeural',
|
177 |
+
'French (Canada)-Sylvie- (Female)': 'fr-CA-SylvieNeural',
|
178 |
+
'French (Canada)-Antoine- (Male)': 'fr-CA-AntoineNeural',
|
179 |
+
'French (Canada)-Jean- (Male)': 'fr-CA-JeanNeural',
|
180 |
+
'French (Switzerland)-Ariane- (Female)': 'fr-CH-ArianeNeural',
|
181 |
+
'French (Switzerland)-Fabrice- (Male)': 'fr-CH-FabriceNeural',
|
182 |
+
'Irish (Ireland)-Colm- (Male)': 'ga-IE-ColmNeural',
|
183 |
+
'Irish (Ireland)-Orla- (Female)': 'ga-IE-OrlaNeural',
|
184 |
+
'Galician (Spain)-Roi- (Male)': 'gl-ES-RoiNeural',
|
185 |
+
'Galician (Spain)-Sabela- (Female)': 'gl-ES-SabelaNeural',
|
186 |
+
'Gujarati (India)-Dhwani- (Female)': 'gu-IN-DhwaniNeural',
|
187 |
+
'Gujarati (India)-Niranjan- (Male)': 'gu-IN-NiranjanNeural',
|
188 |
+
'Hindi (India)-Madhur- (Male)': 'hi-IN-MadhurNeural',
|
189 |
+
'Hindi (India)-Swara- (Female)': 'hi-IN-SwaraNeural',
|
190 |
+
'Croatian (Croatia)-Gabrijela- (Female)': 'hr-HR-GabrijelaNeural',
|
191 |
+
'Croatian (Croatia)-Srecko- (Male)': 'hr-HR-SreckoNeural',
|
192 |
+
'Hungarian (Hungary)-Noemi- (Female)': 'hu-HU-NoemiNeural',
|
193 |
+
'Hungarian (Hungary)-Tamas- (Male)': 'hu-HU-TamasNeural',
|
194 |
+
'Icelandic (Iceland)-Gudrun- (Female)': 'is-IS-GudrunNeural',
|
195 |
+
'Icelandic (Iceland)-Gunnar- (Male)': 'is-IS-GunnarNeural',
|
196 |
+
'Javanese (Indonesia)-Dimas- (Male)': 'jv-ID-DimasNeural',
|
197 |
+
'Javanese (Indonesia)-Siti- (Female)': 'jv-ID-SitiNeural',
|
198 |
+
'Georgian (Georgia)-Eka- (Female)': 'ka-GE-EkaNeural',
|
199 |
+
'Georgian (Georgia)-Giorgi- (Male)': 'ka-GE-GiorgiNeural',
|
200 |
+
'Kazakh (Kazakhstan)-Aigul- (Female)': 'kk-KZ-AigulNeural',
|
201 |
+
'Kazakh (Kazakhstan)-Daulet- (Male)': 'kk-KZ-DauletNeural',
|
202 |
+
'Khmer (Cambodia)-Piseth- (Male)': 'km-KH-PisethNeural',
|
203 |
+
'Khmer (Cambodia)-Sreymom- (Female)': 'km-KH-SreymomNeural',
|
204 |
+
'Kannada (India)-Gagan- (Male)': 'kn-IN-GaganNeural',
|
205 |
+
'Kannada (India)-Sapna- (Female)': 'kn-IN-SapnaNeural',
|
206 |
+
'Lao (Laos)-Chanthavong- (Male)': 'lo-LA-ChanthavongNeural',
|
207 |
+
'Lao (Laos)-Keomany- (Female)': 'lo-LA-KeomanyNeural',
|
208 |
+
'Lithuanian (Lithuania)-Leonas- (Male)': 'lt-LT-LeonasNeural',
|
209 |
+
'Lithuanian (Lithuania)-Ona- (Female)': 'lt-LT-OnaNeural',
|
210 |
+
'Latvian (Latvia)-Everita- (Female)': 'lv-LV-EveritaNeural',
|
211 |
+
'Latvian (Latvia)-Nils- (Male)': 'lv-LV-NilsNeural',
|
212 |
+
'Macedonian (North Macedonia)-Aleksandar- (Male)': 'mk-MK-AleksandarNeural',
|
213 |
+
'Macedonian (North Macedonia)-Marija- (Female)': 'mk-MK-MarijaNeural',
|
214 |
+
'Malayalam (India)-Midhun- (Male)': 'ml-IN-MidhunNeural',
|
215 |
+
'Malayalam (India)-Sobhana- (Female)': 'ml-IN-SobhanaNeural',
|
216 |
+
'Mongolian (Mongolia)-Bataa- (Male)': 'mn-MN-BataaNeural',
|
217 |
+
'Mongolian (Mongolia)-Yesui- (Female)': 'mn-MN-YesuiNeural',
|
218 |
+
'Marathi (India)-Aarohi- (Female)': 'mr-IN-AarohiNeural',
|
219 |
+
'Marathi (India)-Manohar- (Male)': 'mr-IN-ManoharNeural',
|
220 |
+
'Maltese (Malta)-Grace- (Female)': 'mt-MT-GraceNeural',
|
221 |
+
'Maltese (Malta)-Joseph- (Male)': 'mt-MT-JosephNeural',
|
222 |
+
'Burmese (Myanmar)-Nilar- (Female)': 'my-MM-NilarNeural',
|
223 |
+
'Burmese (Myanmar)-Thiha- (Male)': 'my-MM-ThihaNeural',
|
224 |
+
'Nepali (Nepal)-Hemkala- (Female)': 'ne-NP-HemkalaNeural',
|
225 |
+
'Nepali (Nepal)-Sagar- (Male)': 'ne-NP-SagarNeural',
|
226 |
+
'Dutch (Belgium)-Arnaud- (Male)': 'nl-BE-ArnaudNeural',
|
227 |
+
'Dutch (Belgium)-Dena- (Female)': 'nl-BE-DenaNeural',
|
228 |
+
'Polish (Poland)-Marek- (Male)': 'pl-PL-MarekNeural',
|
229 |
+
'Polish (Poland)-Zofia- (Female)': 'pl-PL-ZofiaNeural',
|
230 |
+
'Pashto (Afghanistan)-Gul Nawaz- (Male)': 'ps-AF-Gul',}
|