3 papers
eess.AS2026
SpeechAnnotator: A Context-Aware Multi-Agent Framework and Benchmark for Multidimensional Speech Annotation
Qirui Zhan, Shuiyuan Wang, Jingbin Hu +10
Recent controllable speech generation requires training data with fine-grained annotations of speaker traits, prosody, emotion, paralinguistic cues, acoustic scenes, and context. E…
eess.AS2026
SphereVAE: Hyperspherical Latent Autoencoders for Robust Autoregressive Speech Representation Modeling
Haoyu Zhang, Jingbin Hu, Hanke Xie +8
With the rapid development of speech generation technology, discrete codec representations have been widely used because they provide a stable prediction paradigm. In expressive sp…
eess.AS2026
FlashTTS: Fast Streaming TTS with MTP Acceleration and X-pred Mean Flow Distillation
Hanke Xie, Xiaming Ren, Dake Guo +10
Recent progress in speech dialogue systems requires Text-to-Speech (TTS) models to be faster and more responsive. Modern speech dialogue systems impose two primary requirements on…