Q-SPT: Learnable Query-Based Compression for Low-Frame-Rate Speech Tokenization
Q-SPT is proposed, a low-frame-rate dual-stream speech tokenizer with separate, context-aware, learnable query-based compressors specialized for semantic and acoustic representations that yields the best speech recognition accuracy and text-to-speech perceptual quality with competitive intelligibility.
Jeeyoung Yun, Seohwan Yun, Sungwoong Kim
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