Update README.md
Browse files
    	
        README.md
    CHANGED
    
    | 
         @@ -3,6 +3,13 @@ license: cc-by-4.0 
     | 
|
| 3 | 
         
             
            tags:
         
     | 
| 4 | 
         
             
            - Speech tokenizer
         
     | 
| 5 | 
         
             
            ---
         
     | 
| 
         | 
|
| 
         | 
|
| 
         | 
|
| 
         | 
|
| 
         | 
|
| 
         | 
|
| 
         | 
|
| 6 | 
         
             
            # Getting Started with XCodec2 on Hugging Face
         
     | 
| 7 | 
         
             
            XCodec2 is a speech tokenizer that offers the following key features:
         
     | 
| 8 | 
         | 
| 
         @@ -47,4 +54,6 @@ with torch.no_grad(): 
     | 
|
| 47 | 
         | 
| 48 | 
         
             
            sf.write("reconstructed.wav", recon_wav[0, 0, :].numpy(), sr)
         
     | 
| 49 | 
         
             
            print("Done! Check reconstructed.wav")
         
     | 
| 50 | 
         
            -
            ```
         
     | 
| 
         | 
|
| 
         | 
| 
         | 
|
| 3 | 
         
             
            tags:
         
     | 
| 4 | 
         
             
            - Speech tokenizer
         
     | 
| 5 | 
         
             
            ---
         
     | 
| 6 | 
         
            +
             
     | 
| 7 | 
         
            +
             
     | 
| 8 | 
         
            +
            ## Paper
         
     | 
| 9 | 
         
            +
            LLaSA: Scaling Train Time and Test Time Compute for LLaMA based Speech Synthesis (Comming soon)
         
     | 
| 10 | 
         
            +
             
     | 
| 11 | 
         
            +
             
     | 
| 12 | 
         
            +
             
     | 
| 13 | 
         
             
            # Getting Started with XCodec2 on Hugging Face
         
     | 
| 14 | 
         
             
            XCodec2 is a speech tokenizer that offers the following key features:
         
     | 
| 15 | 
         | 
| 
         | 
|
| 54 | 
         | 
| 55 | 
         
             
            sf.write("reconstructed.wav", recon_wav[0, 0, :].numpy(), sr)
         
     | 
| 56 | 
         
             
            print("Done! Check reconstructed.wav")
         
     | 
| 57 | 
         
            +
            ```
         
     | 
| 58 | 
         
            +
             
     | 
| 59 | 
         
            +
            If you want to train your own xcodec2 or require large-scale code extraction, the code is released [here](https://github.com/zhenye234/X-Codec-2.0).
         
     |