Update README.md

README.md

@@ -15,9 +15,10 @@ pipeline_tag: automatic-speech-recognition
 ---
 
 **This is a small CTC-based Automatic Speech Recognition system for French.**
-This model is part of the SLU demo available here: [LINK TO THE DEMO GOES HERE]
 
-This is a [mHuBERT-147](https://huggingface.co/utter-project/mHuBERT-147) ASR fine-tuned model.
+This model is part of the SLU demo available here: https://huggingface.co/spaces/naver/French-SLU-DEMO-Interspeech2024
+
+Please check our blog post available at: TBD
 
 * Training data: 123 hours (84,707 utterances)
 * Normalization: Whisper normalization
@@ -37,6 +38,7 @@ This is a [mHuBERT-147](https://huggingface.co/utter-project/mHuBERT-147) ASR fi
 | **CommonVoice 17** |     16.0    |     4.9     |     19.0     |      6.5     |
 
 ## Training Parameters
+This is a [mHuBERT-147](https://huggingface.co/utter-project/mHuBERT-147) ASR fine-tuned model.
 The training parameters are available in [config.yaml](https://huggingface.co/naver/mHuBERT-147-ASR-fr/blob/main/config.yaml).
 We highlight the use of 0.3 for hubert.final_dropout, which we found to be very helpful in convergence. We also use fp32 training, as we found fp16 training to be unstable.