Shinji Watanabe

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Yoshihiro Kawaoka115
Atsushi Nakamura102
Chin-Hui Lee84
Daniel Povey82
Li Deng78
110Yoshihiro Kawaoka
78Atsushi Nakamura
53Tomohiro Nakatani
52Takaaki Hori
51Gabriele Neumann

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1995
2017
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The third 'CHiME' speech separation and recognition challenge: Dataset, task and baselines
The CHiME challenge series aims to advance far field speech recognition technology by promoting research at the interface of signal processing and automatic speech recognition. This paper presents the design and outcomes of the 3rd CHiME Challenge, which targets the performance of automatic speech recognition in a real-world, commercially-motivated… (More)
The second 'chime' speech separation and recognition challenge: Datasets, tasks and baselines
Distant-microphone automatic speech recognition (ASR) remains a challenging goal in everyday environments involving multiple background sources and reverberation. This paper is intended to be a reference on the 2nd 'CHiME' Challenge, an initiative designed to analyze and evaluate the performance of ASR systems in a real-world domestic environment. Two… (More)
Experimental adaptation of an influenza H5 HA confers respiratory droplet transmission to a reassortant H5 HA/H1N1 virus in ferrets.
Highly pathogenic avian H5N1 influenza A viruses occasionally infect humans, but currently do not transmit efficiently among humans. The viral haemagglutinin (HA) protein is a known host-range determinant as it mediates virus binding to host-specific cellular receptors. Here we assess the molecular changes in HA that would allow a virus possessing subtype… (More)
Topic Tracking Model for Analyzing Consumer Purchase Behavior
We propose a new topic model for tracking time-varying consumer purchase behavior, in which consumer interests and item trends change over time. The proposed model can adaptively track changes in interests and trends based on current purchase logs and previously estimated interests and trends. The online nature of the proposed method means we do not need to… (More)
Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition
This paper describes our joint efforts to provide robust automatic speech recognition (ASR) for reverberated environments, such as in hands-free human-machine interaction. We investigate blind feature space de-reverberation and deep recurrent de-noising auto-encoders (DAE) in an early fusion scheme. Results on the 2014 REVERB Challenge development set… (More)
Characterization of H7N9 influenza A viruses isolated from humans
Avian influenza A viruses rarely infect humans; however, when human infection and subsequent human-to-human transmission occurs, worldwide outbreaks (pandemics) can result. The recent sporadic infections of humans in China with a previously unrecognized avian influenza A virus of the H7N9 subtype (A(H7N9)) have caused concern owing to the appreciable case… (More)
Variational bayesian estimation and clustering for speech recognition
In this paper, we propose variational Bayesian estimation and clustering for speech recognition (VBEC), which is based on the variational Bayesian (VB) approach. VBEC is a total Bayesian framework: all speech recognition procedures (acoustic modeling and speech classification) are based on VB posterior distribution, unlike the maximum likelihood (ML)… (More)
Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR
enhancement with LSTM recurrent neural networks and its application to noise-HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.… (More)
Deep clustering: Discriminative embeddings for segmentation and separation
We address the problem of "cocktail-party" source separation in a deep learning framework called deep clustering. Previous deep network approaches to separation have shown promising performance in scenarios with a fixed number of sources, each belonging to a distinct signal class, such as speech and noise. However, for arbitrary source classes and number,… (More)
Biological and Structural Characterization of a Host-Adapting Amino Acid in Influenza Virus
Two amino acids (lysine at position 627 or asparagine at position 701) in the polymerase subunit PB2 protein are considered critical for the adaptation of avian influenza A viruses to mammals. However, the recently emerged pandemic H1N1 viruses lack these amino acids. Here, we report that a basic amino acid at position 591 of PB2 can compensate for the lack… (More)