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20192022
most citedTowards Online End-to-end Transformer Automatic Speech Recognition

31 citations · 51 across the 9 of their papers we have counts for

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10 papers · 1 filter

eess.AS2022

Joint Speech Recognition and Audio Captioning

Chaitanya Narisetty, Emiru Tsunoo, Xuankai Chang +3

Speech samples recorded in both indoor and outdoor environments are often contaminated with secondary audio sources. Most end-to-end monaural speech recognition systems either remo…

eess.AS2022

Run-and-back stitch search: novel block synchronous decoding for streaming encoder-decoder ASR

Emiru Tsunoo, Chaitanya Narisetty, Michael Hentschel +2

A streaming style inference of encoder-decoder automatic speech recognition (ASR) system is important for reducing latency, which is essential for interactive use cases. To this en…

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.AS202119 cited

Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection

Kazuki Shimada, Naoya Takahashi, Yuichiro Koyama +4

This report describes our systems submitted to the DCASE2021 challenge task 3: sound event localization and detection (SELD) with directional interference. Our previous system base…

eess.AS2021

Data Augmentation Methods for End-to-end Speech Recognition on Distant-Talk Scenarios

Emiru Tsunoo, Kentaro Shibata, Chaitanya Narisetty +2

Although end-to-end automatic speech recognition (E2E ASR) has achieved great performance in tasks that have numerous paired data, it is still challenging to make E2E ASR robust ag…

eess.AS2021

Gaussian Kernelized Self-Attention for Long Sequence Data and Its Application to CTC-based Speech Recognition

Yosuke Kashiwagi, Emiru Tsunoo, Shinji Watanabe

Self-attention (SA) based models have recently achieved significant performance improvements in hybrid and end-to-end automatic speech recognition (ASR) systems owing to their flex…