Closed Liu-Feng-deeplearning closed 7 months ago
Currently, no, thanks for the suggestion. Can you detail why we need such kind of embeddings? I believe it's quite easy for LLM-based TTS systems to take continuous speaker embeddings as input, considering its modeling capacity.
Closed since no futher discussion is launched. Feel free to re-open it.
Hello, do we have plan to support quantizer extractor of speaker embedding, such as RVQ/LFQ?
If quantizers of speaker embedding is possible, it is easy to add integer quantizers as prompt to put before audio token(e.g. valle/soundstream).
Thank you for the excellent project.