Keiichi Tokuda

Neural Sequence-to-Sequence Speech Synthesis Using a Hidden Semi-Markov Model Based Structured Attention Mechanism

2021 · arXiv (Cornell University)

This paper proposes a novel Sequence-to-Sequence (Seq2Seq) model integrating the structure of Hidden Semi-Markov Models (HSMMs) into its attention mechanism. In speech synthesis, it has been shown that methods based on Seq2Seq models using deep …

LIMMITS’24: Multi-Speaker, Multi-Lingual Indic TTS with Voice Cloning

2024

The Multi-speaker, Multi-lingual Indic TTS with voice cloning (LIMMITS’24) challenge is organized as part of the ICASSP 2024 signal processing grand challenge. LIMMITS’24 aims at the development of voice cloning for multi-speaker, multi-lingual Text-to-Speech (TTS) …