Search Results for author: Tatsuya Komatsu

Found 5 papers, 0 papers with code

A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation

no code implementations11 Oct 2021 Yosuke Higuchi, Nanxin Chen, Yuya Fujita, Hirofumi Inaguma, Tatsuya Komatsu, Jaesong Lee, Jumon Nozaki, Tianzi Wang, Shinji Watanabe

Non-autoregressive (NAR) models simultaneously generate multiple outputs in a sequence, which significantly reduces the inference speed at the cost of accuracy drop compared to autoregressive baselines.

automatic-speech-recognition Speech Recognition +2

Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers

no code implementations21 Apr 2021 Yusuke Kida, Tatsuya Komatsu, Masahito Togami

The speech-to-text alignment is a problem of splitting long audio recordings with un-aligned transcripts into utterance-wise pairs of speech and text.

automatic-speech-recognition Speech Recognition

Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions

no code implementations6 Apr 2021 Jumon Nozaki, Tatsuya Komatsu

This paper proposes a method to relax the conditional independence assumption of connectionist temporal classification (CTC)-based automatic speech recognition (ASR) models.

automatic-speech-recognition Speech Recognition

Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation

no code implementations19 Jun 2020 Tsubasa Takahashi, Shun Takagi, Hajime Ono, Tatsuya Komatsu

This paper studies how to learn variational autoencoders with a variety of divergences under differential privacy constraints.

Bayesian Non-Parametric Multi-Source Modelling Based Determined Blind Source Separation

no code implementations8 Apr 2019 Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo

This paper proposes a determined blind source separation method using Bayesian non-parametric modelling of sources.

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