Update README.md

README.md

@@ -1,3 +1,79 @@
 ---
 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/
+
+GitHub: https://github.com/speechbrain/speechbrain