With the rapid development of speech generation technology, discrete codec representations have been widely used because they provide a stable prediction paradigm. In expressive speech generation, however, the quantization bottleneck of discrete codecs results in information gaps in fine-grained prosody, timbre, pronun...
Hao-Yu Zhang, Jing-Bin Hu, Han-Ke Xie et al.· 0 citations
Recent advancements in discrete token-based speech generation have highlighted the importance of efficient token-to-waveform synthesis in streaming and dialogue scenarios. Flow-matching acoustic decoders achieve high-quality token-to-mel generation, but their iterative sampling requires multiple neural function evaluat...
Han-Ke Xie, Xia-Ming Ren, Qi-Rui Zhan et al.· 0 citations
The ISCSLP 2026 CoT-TTS Challenge requires TTS systems to generate Chain-of-Thought (CoT) reasoning from dialogue history before synthesizing contextually appropriate speech. While the official baseline establishes a unified architecture, it remains constrained by limited contextual comprehension, weak instruction fide...
Jing-Bin Hu, Lu-Yu Wang, Wen-Jie Tian et al.· 0 citations
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