T. Nakatani

Publications335
h-index40
Citations6,071
Highly Influential Citations477
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Speech Dereverberation Based on Variance-Normalized Delayed Linear Prediction
TLDR
This paper proposes a statistical model-based speech dereverberation approach that can cancel the late reverberation of a reverberant speech signal captured by distant microphones without prior knowledge of the room impulse responses. Expand
  • 237
  • 56
The reverb challenge: A common evaluation framework for dereverberation and recognition of reverberant speech
TLDR
In this paper, we propose a common evaluation framework including datasets, tasks, and evaluation metrics for both speech enhancement and ASR techniques in reverberant environments. Expand
  • 314
  • 42
  • PDF
Generalization of Multi-Channel Linear Prediction Methods for Blind MIMO Impulse Response Shortening
  • T. Yoshioka, T. Nakatani
  • Mathematics, Computer Science
  • IEEE Transactions on Audio, Speech, and Language…
  • 1 December 2012
TLDR
We generalizes existing dereverberation methods using subband-domain multi-channel linear prediction filters so that the resultant generalized algorithm can blindly shorten a multiple-input multiple-output (MIMO) impulse response between a set of unknown number of sources and a microphone array. Expand
  • 148
  • 26
The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices
TLDR
This paper describes NTT's CHiME-3 system, which integrates advanced speech enhancement and recognition techniques with deep convolutional neural networks. Expand
  • 187
  • 24
Suppression of Late Reverberation Effect on Speech Signal Using Long-Term Multiple-step Linear Prediction
TLDR
A speech signal captured by a distant microphone is generally smeared by reverberation, which severely degrades automatic speech recognition (ASR) performance. Expand
  • 170
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A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research
TLDR
In recent years, substantial progress has been made in the field of reverberant speech signal processing, including single- and multichannel dereverberation techniques and automatic speech recognition (ASR) techniques that are robust to reverberation. Expand
  • 209
  • 17
Robust MVDR beamforming using time-frequency masks for online/offline ASR in noise
TLDR
This paper considers acoustic beamforming for noise robust automatic speech recognition (ASR). Expand
  • 134
  • 14
  • PDF
Robust speech dereverberation based on non-negativity and sparse nature of speech spectrograms
TLDR
This paper presents a blind dereverberation method designed to recover the subband envelope of an original speech signal from its reverberant version. Expand
  • 79
  • 14
  • PDF
Making Machines Understand Us in Reverberant Rooms: Robustness Against Reverberation for Automatic Speech Recognition
TLDR
We reviewed a variety of methods for recognizing reverberant speech and classified them in a common A MAJOR ADVANTAGE OF THE FRONT-END-BASED APPROACHES IS THAT THEY DO NOT REQUIRE CHANGES TO THE BACK-END PROCESSING STEPS. Expand
  • 207
  • 13
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Blind Separation and Dereverberation of Speech Mixtures by Joint Optimization
TLDR
This paper proposes a method for performing blind source separation (BSS) and blind dereverberation (BD) at the same time for speech mixtures. Expand
  • 127
  • 12
  • PDF