Search Results - "Niitsuma, Masahiro"

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  1. 1

    Joint Analysis of Acoustic Events and Scenes Based on Multitask Learning by Tonami, Noriyuki, Imoto, Keisuke, Niitsuma, Masahiro, Yamanishi, Ryosuke, Yamashita, Yoichi

    “…Acoustic event detection and scene classification are major research tasks in environmental sound analysis, and many methods based on neural networks have been…”
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    Conference Proceeding
  2. 2

    Determining the onset of driver’s preparatory action for take-over in automated driving using multimodal data by Teshima, Takaaki, Niitsuma, Masahiro, Nishimura, Hidekazu

    Published in Expert systems with applications (15-07-2024)
    “…Automated driving technology has the potential to substantially reduce traffic accidents, a considerable portion of which are caused by human error…”
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    Journal Article
  3. 3

    Gender affects perception and movement times during non-critical takeovers in conditionally automated driving by Teshima, Takaaki, Niitsuma, Masahiro, Nishimura, Hidekazu

    “…The upcoming introduction of automated vehicles is expected to reduce the incidence of traffic accidents caused by human error. However, conditionally…”
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    Journal Article
  4. 4

    Development of a communication system using audio signal using audible frequency bands by Terayama, Chihiro, Niitsuma, Masahiro, Yamashita, Yoichi

    “…This paper proposes a technique of embedding information into audio signal to communicate using loudspeakers and microphones mounted on tablet-type devices…”
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    Journal Article
  5. 5

    Automatic recognition of negative emotion in speech using support vector machine by Yamamoto, Yuto, Niitsuma, Masahiro, Yamashita, Yoichi

    “…This paper addresses negative emotion recognition using paralinguistic information in speech for speech dialogue system. Speech conveys not only linguistic…”
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    Journal Article
  6. 6

    Age estimation in Japanese speech based on feature selection by Morimoto, Atsushi, Niitsuma, Masahiro, Yamashita, Yoichi

    “…This paper addresses age estimation of Japanese speech utterance, using paralinguistic information in speech. Our speech conveys not only linguistic…”
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    Journal Article
  7. 7

    Online sound structure analysis based on generative model of acoustic feature sequences by Imoto, Keisuke, Ono, Nobutaka, Niitsuma, Masahiro, Yamashita, Yoichi

    “…We propose a method for the online sound structure analysis based on a Bayesian generative model of acoustic feature sequences, with which the hierarchical…”
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    Conference Proceeding
  8. 8

    Towards Musicologist-Driven Mining of Handwritten Scores by Niitsuma, Masahiro, Tomita, Yo, Yan, Wei Qi, Bell, David

    Published in IEEE intelligent systems (01-07-2018)
    “…Historical musicologists have been seeking objective and powerful techniques to collect, analyze, and verify their findings for many decades. The aim of this…”
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    Journal Article
  9. 9

    Musicologist-driven writer identification in early music manuscripts by Niitsuma, Masahiro, Schomaker, Lambert, Oosten, Jean-Paul van, Tomita, Yo, Bell, David

    Published in Multimedia tools and applications (01-06-2016)
    “…Recent renewed interest in computational writer identification has resulted in an increased number of publications. In relation to historical musicology its…”
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    Journal Article
  10. 10

    Development of a method for automatic basso continuo playing by Niitsuma, Masahiro, Matsubara, Masaki, Oono, Masaki, Saito, Hiroaki

    Published in Information processing & management (01-05-2011)
    “…► Dynamic programming enables basso continuo realisation without stating all the detailed rules concerning chord allocation and voice leading. ► The use of the…”
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    Journal Article
  11. 11

    Joint Analysis of Acoustic Events and Scenes Based on Multitask Learning by Tonami, Noriyuki, Imoto, Keisuke, Niitsuma, Masahiro, Yamanishi, Ryosuke, Yamashita, Yoichi

    Published 27-04-2019
    “…Acoustic event detection and scene classification are major research tasks in environmental sound analysis, and many methods based on neural networks have been…”
    Get full text
    Journal Article