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Add license and readme
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LICENSE
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MIT License
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Copyright (c) 2023 HeKA Research Team
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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---
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language: fr
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license: mit
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multilinguality: monolingual
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task_categories:
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- automatic-speech-recognition
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- voice-activity-detection
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---
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# Simsamu dataset
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This repository contains recordings of simulated medical dispatch dialogs in the
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french language, annotated for diarization and transcription. It is published
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under the MIT license.
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These dialogs were recorded as part of the training of emergency medicine
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interns, which consisted in simulating a medical dispatch call where the interns
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took turns playing the caller and the regulating doctor.
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Each situation was decided randomly in advance, blind to who was playing the
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medical dispatcher (e.g., road accident, chest pain, burns, etc.). The
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affiliations between the caller and the patient (family, friend, colleague...)
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and the caller's communication mode is then randomly selected. The caller had to
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adapt his or her performance to the communication mode associated with the
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situation. Seven communication modes were defined: shy, procedural, angry,
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cooperative, frightened, impassive, incomprehensible.
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Regarding sound quality, the voice of the regulating doctor is directly picked
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up by a microphone, whereas the voice of the caller is transmitted through the
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phone network and re-emitted by a phone speaker before being picked up by the
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microphone. This leads to different acoustic characteristics between the
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caller's voice and the regulator's, the later one often being much clearer. This
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phenomena is also present in actual dispatch services recordings, where the
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regulator's voice is directly recorded in a quiet room whereas the caller is
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often calling from noisier environments and its voice is altered by the phone
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network compression.
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The dataset is composed of 61 audio recordings with a total duration of 3h 15
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and an average duration per recording of 3 minutes 11 seconds. Each recording is
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available as a `.m4a` audio file with 8KHz sample rate and a 128 Kbps bitrate.
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The diarization data is available in a corresponding `.rttm` file and the
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transcription in an `.srt` file.
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An additional `metadata.csv` contains speaker ids for callers and regulators in
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each recording.
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See also: [Simsamu diarization
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pipeline](https://huggingface.co/medkit/simsamu-diarization)
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See also: [Simsamu transcription
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model](https://huggingface.co/medkit/simsamu-transcription)
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