Speech-to-Text may be mis-used to invade the privacy of others by recording and mining information from private conversations. If you are using this model in production, you should acknowledge this as a potential issue. For STT models, it is often the case that transcription accuracy is better for men than it is for women. You should assume every machine learning model has demographic bias unless proven otherwise. You should consider these implications before use. Centre de Conférence Pierre Mendès Franceĭeploying a Speech-to-Text model into any production setting has ethical implications.The model was tested on the following corpora. Centre de Conférence Pierre Mendès France (~300h).Common Voice FR (v2) (~490h, en autorisant jusqu'à 32 duplicatas).

This French STT model was trained on the following corpora: Model.tflite: 46M Approaches to uncertainty and variabilityĬonfidence scores and multiple paths from the decoding beam can be used to measure model uncertainty and provide multiple, variable transcripts for any processed audio. Recorded average RTF on laptop CPU: `` Model Size The exact real-time factor of an STT model will depend on the hardware setup, so you may experience a different RTF. Real-Time Factor (RTF) is defined as proccesing-time / length-of-audio. The following Word Error Rates (WER) are reported on Github. STT models are usually evaluated in terms of their transcription accuracy, deployment Real-Time Factor, and model size on disk. Read more about STT performance factors here. Performance Factorsįactors relevant to Speech-to-Text performance include but are not limited to speaker demographics, recording quality, and background noise.

Speech-to-Text for the French Language on 16kHz, mono-channel audio.

Where to send questions or comments about the model: You can leave an issue on STT-model issues, open a new discussion on STT-model discussions, or chat with us on Gitter.

Model date: Accessed from Github on March 31, 2021.

Person or organization developing model: Originally trained and released by the commonvoice-fr project.

French speech to text