Update README.md

README.md

@@ -47,8 +47,8 @@ Please notice that we encourage you to read the SpeechBrain tutorials and learn
 # Transcribing your own audio files (in Fongbe)
 ```python
 from speechbrain.pretrained import EncoderASR
-asr_model = EncoderDecoderASR.from_hparams(source="speechbrain/asr-wav2vec2-dvoice-wolof", savedir="pretrained_models/asr-wav2vec2-dvoice-wolof")
-asr_model.transcribe_file('speechbrain/asr-wav2vec2-dvoice-wolof/example_wolof.wav')
+asr_model = EncoderDecoderASR.from_hparams(source="speechbrain/asr-wav2vec2-dvoice-fongbe", savedir="pretrained_models/asr-wav2vec2-dvoice-fongbe")
+asr_model.transcribe_file('speechbrain/asr-wav2vec2-dvoice-fongbe/example_fongbe.wav')
 ```
 
 # Inference on GPU
@@ -70,7 +70,7 @@ pip install -e .
 3. Run Training:
 ```bash
 cd recipes/DVoice/ASR/CTC
-python train_with_wav2vec2.py hparams/train_wol_with_wav2vec.yaml --data_folder=/localscratch/ALFFA_PUBLIC/ASR/WOLOF/data/
+python train_with_wav2vec2.py hparams/train_fon_with_wav2vec.yaml --data_folder=/localscratch/ALFFA_PUBLIC/ASR/FONGBE/data/
 ```
 You can find our training results (models, logs, etc) [here](https://drive.google.com/drive/folders/1vNT7RjRuELs7pumBHmfYsrOp9m46D0ym?usp=sharing).