Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 language:
-- es
+- fr
 thumbnail: null
 tags:
 - automatic-speech-recognition
@@ -14,13 +14,13 @@ datasets:
 metrics:
 - name: Test WER
   type: wer
-  value: ' 14.77'
+  value: ' 17.58'
 ---
 
 <iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
 <br/><br/>
 
-# Transducer trained on CommonVoice 14.0 Spanish (No LM)
+# Transducer trained on CommonVoice 14.0 French (No LM)
 This repository provides all the necessary tools to perform automatic speech
 recognition from an end-to-end system within
 SpeechBrain. For a better experience, we encourage you to learn more about
@@ -29,7 +29,7 @@ The performance of the model is the following:
 
 | Release | Test CER | Test WER | GPUs |
 |:-------------:|:--------------:|:--------------:| :--------:|
-| 15.08.23 | 4.68 | 14.77 | 1xV100 32GB |
+| 15.08.23 | 7.61 | 17.58 | 1xV100 32GB |
 
 ## Credits
 The model is provided by [vitas.ai](https://www.vitas.ai/).
@@ -54,12 +54,12 @@ pip install speechbrain
 Please notice that we encourage you to read our tutorials and learn more about
 [SpeechBrain](https://speechbrain.github.io).
 
-### Transcribing your own audio files (in Spanish)
+### Transcribing your own audio files (in French)
 
 ```python
 from speechbrain.pretrained import EncoderDecoderASR
-asr_model = EncoderDecoderASR.from_hparams(source="speechbrain/speechbrain/asr-crdnn-commonvoice-14-es", savedir="pretrained_models/speechbrain/asr-crdnn-commonvoice-14-es")
-asr_model.transcribe_file("speechbrain/speechbrain/asr-crdnn-commonvoice-14-es/example-es.wav")
+asr_model = EncoderDecoderASR.from_hparams(source="speechbrain/speechbrain/asr-transducer-commonvoice-14-fr", savedir="pretrained_models/speechbrain/asr-transducer-commonvoice-14-fr")
+asr_model.transcribe_file("speechbrain/speechbrain/asr-transducer-commonvoice-14-fr/example-fr.wav")
 ```
 
 ### Inference on GPU
@@ -92,11 +92,11 @@ pip install -e .
 3. Run Training:
 
 ```
-cd recipes/CommonVoice/ASR/seq2seq
-python train.py hparams/train_es.yaml --data_folder=your_data_folder
+cd recipes/CommonVoice/ASR/transducer
+python train.py hparams/train_fr.yaml --data_folder=your_data_folder
 ```
 
-You can find our training results (models, logs, etc) [here](https://www.dropbox.com/sh/r3w0b2tm1p73vft/AADCxdhUwDN6j4PVT9TYe-d5a?dl=0)
+You can find our training results (models, logs, etc) [here](https://www.dropbox.com/sh/nv2pnpo5n3besn3/AADZ7l41oLt11ZuOE4MqoJhCa?dl=0)
 
 ### Limitations