metadata
license: cc-by-nc-sa-4.0
language:
- fr
metrics:
- wer
library_name: speechbrain
pipeline_tag: automatic-speech-recognition
tags:
- CTC
- pytorch
- asr
- speechbrain
- spontaneous speech
Wav2Vec 2.0 with CTC trained on spontaneous speech data
- who developed the system
- model date: Jan 2024
- model version: 1.0
- model type: automatic speech recognition system
- Info about training algo, parameters, fairness constraints or other applied approaches, and features
@misc{SB2021,
author = {Ravanelli, Mirco and Parcollet, Titouan and Rouhe, Aku and Plantinga, Peter and Rastorgueva, Elena and Lugosch, Loren and Dawalatabad, Nauman and Ju-Chieh, Chou and Heba, Abdel and Grondin, Francois and Aris, William and Liao, Chien-Feng and Cornell, Samuele and Yeh, Sung-Lin and Na, Hwidong and Gao, Yan and Fu, Szu-Wei and Subakan, Cem and De Mori, Renato and Bengio, Yoshua },
title = {SpeechBrain},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\\\\url{https://github.com/speechbrain/speechbrain}},
}
- citation details
@misc{SB2021,
author = {Ravanelli, Mirco and Parcollet, Titouan and Rouhe, Aku and Plantinga, Peter and Rastorgueva, Elena and Lugosch, Loren and Dawalatabad, Nauman and Ju-Chieh, Chou and Heba, Abdel and Grondin, Francois and Aris, William and Liao, Chien-Feng and Cornell, Samuele and Yeh, Sung-Lin and Na, Hwidong and Gao, Yan and Fu, Szu-Wei and Subakan, Cem and De Mori, Renato and Bengio, Yoshua },
title = {SpeechBrain},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\\\\url{https://github.com/speechbrain/speechbrain}},
}
- license
- contact Solène Evain (solene.evain@univ-grenoble-alpes.fr)
Intended Use
- primary intended use
- primary intended users
- out-of-scope use cases
Factors
Metrics
| Release | Test CER | GPUs |
|---|---|---|
| 22-02-23 | 4.78 | 1xV100 32GB |
Evaluation data
- datasets
- motivation
- preprocessing
Training data
Quantitative analyses
Ethical considerations
Caveats and recommendations
We do not provide any warranty on the performance achieved by this model when used on other datasets
About SpeechBrain
SpeechBrain is an open-source and all-in-one speech toolkit. It is designed to be simple, extremely flexible, and user-friendly. Competitive or state-of-the-art performance is obtained in various domains.
Website: https://speechbrain.github.io/