788 citations · 1.2k across the 41 of their papers we have counts for
6 papers · 1 filter
Refined WaveNet Vocoder for Variational Autoencoder Based Voice Conversion
Wen-Chin Huang, Yi-Chiao Wu, Hsin-Te Hwang +6
This paper presents a refinement framework of WaveNet vocoders for variational autoencoder (VAE) based voice conversion (VC), which reduces the quality distortion caused by the mis…
Cycle-consistency training for end-to-end speech recognition
Takaaki Hori, Ramon Astudillo, Tomoki Hayashi +3
This paper presents a method to train end-to-end automatic speech recognition (ASR) models using unpaired data. Although the end-to-end approach can eliminate the need for expert k…
Back-Translation-Style Data Augmentation for End-to-End ASR
Tomoki Hayashi, Shinji Watanabe, Yu Zhang +4
In this paper we propose a novel data augmentation method for attention-based end-to-end automatic speech recognition (E2E-ASR), utilizing a large amount of text which is not paire…
Collapsed speech segment detection and suppression for WaveNet vocoder
Yi-Chiao Wu, Kazuhiro Kobayashi, Tomoki Hayashi +2
In this paper, we propose a technique to alleviate the quality degradation caused by collapsed speech segments sometimes generated by the WaveNet vocoder. The effectiveness of the…
Multi-Head Decoder for End-to-End Speech Recognition
Tomoki Hayashi, Shinji Watanabe, Tomoki Toda +1
This paper presents a new network architecture called multi-head decoder for end-to-end speech recognition as an extension of a multi-head attention model. In the multi-head attent…
ESPnet: End-to-End Speech Processing Toolkit
Shinji Watanabe, Takaaki Hori, Shigeki Karita +9
This paper introduces a new open source platform for end-to-end speech processing named ESPnet. ESPnet mainly focuses on end-to-end automatic speech recognition (ASR), and adopts w…