activity
20192025
most citedTowards Online End-to-end Transformer Automatic Speech Recognition

31 citations · 45 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD2025

LibriTTS-VI: A Public Corpus and Novel Methods for Efficient Voice Impression Control

Junki Ohmura, Yuki Ito, Emiru Tsunoo +2

Numerical voice impression (VI) control (e.g., scaling brightness) enables fine-grained control in text-to-speech (TTS). However, it faces two challenges: no public corpus and impr…

cs.LG2022★ 13 cited

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization

Yuhta Takida, Takashi Shibuya, WeiHsiang Liao +7

One noted issue of vector-quantized variational autoencoder (VQ-VAE) is that the learned discrete representation uses only a fraction of the full capacity of the codebook, also kno…

eess.AS2022

Polyphone disambiguation and accent prediction using pre-trained language models in Japanese TTS front-end

Rem Hida, Masaki Hamada, Chie Kamada +3

Although end-to-end text-to-speech (TTS) models can generate natural speech, challenges still remain when it comes to estimating sentence-level phonetic and prosodic information fr…

eess.AS2019★ 31 cited

Towards Online End-to-end Transformer Automatic Speech Recognition

Emiru Tsunoo, Yosuke Kashiwagi, Toshiyuki Kumakura +1

The Transformer self-attention network has recently shown promising performance as an alternative to recurrent neural networks in end-to-end (E2E) automatic speech recognition (ASR…

eess.AS2019★ 1 cited

Transformer ASR with Contextual Block Processing

Emiru Tsunoo, Yosuke Kashiwagi, Toshiyuki Kumakura +1

The Transformer self-attention network has recently shown promising performance as an alternative to recurrent neural networks (RNNs) in end-to-end (E2E) automatic speech recogniti…

eess.AS2019

End-to-end Adaptation with Backpropagation through WFST for On-device Speech Recognition System

Emiru Tsunoo, Yosuke Kashiwagi, Satoshi Asakawa +1

An on-device DNN-HMM speech recognition system efficiently works with a limited vocabulary in the presence of a variety of predictable noise. In such a case, vocabulary and environ…