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Pendrokar commited on
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1 Parent(s): fabd830

legend update

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  1. README.md +16 -10
README.md CHANGED
@@ -6,14 +6,14 @@ configs:
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  size_categories:
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  - n<1K
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  ---
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- Cloned the GitHub repo for easier viewing and embedding the above table as requested by @reach-vb: https://github.com/Vaibhavs10/open-tts-tracker/issues/30#issuecomment-1946367525
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  ## Legend
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  for the above TTS capability table
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  * Processor ⚡ - Inference done by
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- * CPU (CPU**s** = multithreaded) - Real-time factor should be below 2.0 to qualify for CPU, though some more leeway can be given if it supports audio streaming
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  * CUDA by *NVIDIA*™
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  * ROCm by *AMD*™
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  * Phonetic alphabet 🔤 - Phonetic transcription that allows to control pronunciation of words before inference
@@ -21,15 +21,21 @@ for the above TTS capability table
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  * [ARPAbet](https://en.wikipedia.org/wiki/ARPABET) - American English focused phonetics
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  * Insta-clone 👥 - Zero-shot model for quick voice cloning
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  * Emotion control 🎭 - Able to force an emotional state of speaker
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- * Yes / 🎭 <# emotions>
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- * strict insta-clone switch 🎭👥 - clone may sound different than normal speaking voice; no ability to go in-between states
 
 
 
 
 
 
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  * strict control through prompt 🎭📖 - prompt input parameter
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- * Prompting 📖 - Also a side effect of narrator based datasets and a way to affect the emotional state, [ElevenLabs docs](https://elevenlabs.io/docs/speech-synthesis/prompting#emotion)
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- * Yes / 📖 - Prompt as a separate input parameter
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- * Yes / 🗣📖 - Prompt is spoken by TTS
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- * Streaming support 🌊 - If it is possible to playback audio that is still being generated
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- * Speech control 🎚 - Ability to change the pitch, duration, energy and/or emotion of generated speech
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- * Voice conversion / Speech-To-Speech support 🦜 - Yes/No (Streaming support implies real-time S2S; S2T=>T2S does not count)
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  * Longform synthesis - Able to synthesis whole paragraphs
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  A _null_ value means unfilled/unknown. 🤷‍♂️ Please create pull requests to update the info on the models.
 
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  size_categories:
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  - n<1K
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  ---
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+ Cloned the GitHub repo for easier viewing and embedding the above table as once requested by @reach-vb: https://github.com/Vaibhavs10/open-tts-tracker/issues/30#issuecomment-1946367525
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  ## Legend
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  for the above TTS capability table
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  * Processor ⚡ - Inference done by
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+ * CPU (CPU**s** = multithreaded) - All models can be run on CPU, so real-time factor should be below 2.0 to qualify for CPU tag, though some more leeway can be given if it supports audio streaming
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  * CUDA by *NVIDIA*™
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  * ROCm by *AMD*™
19
  * Phonetic alphabet 🔤 - Phonetic transcription that allows to control pronunciation of words before inference
 
21
  * [ARPAbet](https://en.wikipedia.org/wiki/ARPABET) - American English focused phonetics
22
  * Insta-clone 👥 - Zero-shot model for quick voice cloning
23
  * Emotion control 🎭 - Able to force an emotional state of speaker
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+ * 🎭 <# emotions>
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+ * 😡 anger
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+ * 😃 happiness
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+ * 😭 sadness
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+ * 😯 surprise
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+ * 🤫 whispering
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+ * 😊 friendlyness
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+ * strict insta-clone switch 🎭👥 - cloned on sample with specific emotion; may sound different than normal speaking voice; no ability to go in-between states
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  * strict control through prompt 🎭📖 - prompt input parameter
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+ * Prompting 📖 - Also a side effect of narrator based datasets and a way to affect the emotional state
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+ * 📖 - Prompt as a separate input parameter
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+ * 🗣📖 - The prompt itself is also spoken by TTS; [ElevenLabs docs](https://elevenlabs.io/docs/speech-synthesis/prompting#emotion)
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+ * Streaming support 🌊 - Can playback audio while it is still being generated
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+ * Speech control 🎚 - Ability to change the pitch, duration etc. of generated speech
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+ * Voice conversion / Speech-To-Speech support 🦜 - Streaming support implies real-time S2S; S2T=>T2S does not count
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  * Longform synthesis - Able to synthesis whole paragraphs
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  A _null_ value means unfilled/unknown. 🤷‍♂️ Please create pull requests to update the info on the models.