26 citations · 110 across the 20 of their papers we have counts for
5 papers · 1 filter
MnTTS2: An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset
Kailin Liang, Bin Liu, Yifan Hu +3
Text-to-Speech (TTS) synthesis for low-resource languages is an attractive research issue in academia and industry nowadays. Mongolian is the official language of the Inner Mongoli…
Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS
Rui Liu, Berrak Sisman, Feilong Bao +2
Tacotron-based end-to-end speech synthesis has shown remarkable voice quality. However, the rendering of prosody in the synthesized speech remains to be improved, especially for lo…
SNR-Based Teachers-Student Technique for Speech Enhancement
Xiang Hao, Xiangdong Su, Zhiyu Wang +3
It is very challenging for speech enhancement methods to achieves robust performance under both high signal-to-noise ratio (SNR) and low SNR simultaneously. In this paper, we propo…
Sub-Band Knowledge Distillation Framework for Speech Enhancement
Xiang Hao, Shixue Wen, Xiangdong Su +3
In single-channel speech enhancement, methods based on full-band spectral features have been widely studied. However, only a few methods pay attention to non-full-band spectral fea…
WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss
Rui Liu, Berrak Sisman, Feilong Bao +2
Tacotron-based text-to-speech (TTS) systems directly synthesize speech from text input. Such frameworks typically consist of a feature prediction network that maps character sequen…