Update README.md

README.md

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 # SpeechLLM
 
 SpeechLLM is a multi-modal LLM trained to predict the metadata of the speaker's turn in a conversation. SpeechLLM model is based on HubertX acoustic encoder and TinyLlama LLM. The model predicts the following:
-1. Speech Activity
-2. ASR Transcript
-3. Gender of the speaker
-4. Age of the speaker
-5. Accent of the speaker
-6. Emotion of the speaker
+1. **SpeechActivity** : if the audio signal contains speech (True/False)
+2. **Transcript** : ASR transcript of the audio
+3. **Gender** of the speaker (Female/Male)
+4. **Age** of the speaker (Young/Middle-Age/Senior)
+5. **Accent** of the speaker (Africa/America/Celtic/Europe/Oceania/South-Asia/South-East-Asia)
+6. **Emotion** of the speaker (Happy/Sad/Anger/Neutral/Frustrated)
 
 ## Usage
 ```python