Shinji Watanabe

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Yoshihiro Kawaoka115
Atsushi Nakamura103
Daniel Povey86
Chin-Hui Lee84
Li Deng80
112Yoshihiro Kawaoka
80Atsushi Nakamura
62Tomohiro Nakatani
59Takaaki Hori
58Gabriele Neumann

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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)
Effectiveness of discriminative training and feature transformation for reverberated and noisy speech
Automatic speech recognition in the presence of non-stationary interference and reverberation remains a challenging problem. The 2<sup>nd</sup> `CHiME' Speech Separation and Recognition Challenge introduces a new and difficult task with time-varying reverberation and non-stationary interference including natural background speech, home noises, or music.… (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)
In vitro and in vivo characterization of new swine-origin H1N1 influenza viruses
Influenza A viruses cause recurrent outbreaks at local or global scale with potentially severe consequences for human health and the global economy. Recently, a new strain of influenza A virus was detected that causes disease in and transmits among humans, probably owing to little or no pre-existing immunity to the new strain. On 11 June 2009 the World… (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)
Exploitation of nucleic acid packaging signals to generate a novel influenza virus-based vector stably expressing two foreign genes.
At the final step in viral replication, the viral genome must be incorporated into progeny virions, yet the genomic regions required for this process are largely unknown in RNA viruses, including influenza virus. Recently, it was reported that both ends of the neuraminidase (NA) coding region are critically important for incorporation of this vRNA segment… (More)