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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
Niigata FURINYA(Tsukioka-Onsen, Niigata) [Invited Talk] Recent Developments in Neural Automatic Speech Recognition and Future Outlook
Yotaro Kubo (Google) SP2019-6
 [more] SP2019-6
SP, IPSJ-MUS 2014-05-25
Tokyo   [Invited Talk] Applications and Advances of Deep Learning for Automatic Speech Recognition
Yotaro Kubo (Amazon) SP2014-7
In this presentation, I will introduce recent advances in deep learning methods, and several instances of application of... [more] SP2014-7
SP, IPSJ-MUS 2014-05-24
Tokyo   [研究紹介] A spectrogram-patch-input DNN model for detection and classification of acoustic events robust to speech overlapping scenarios
Miquel Espi, Masakiyo Fujimoto, Yotaro Kubo, Tomohiro Nakatani (NTT) SP2014-17
This paper presents an acoustic event detection and classification method that learns features from spectrogram patches ... [more] SP2014-17
Yamagata Hotel Takinoyu (Yamagata Pref.) WFST-based Structured Classification of Features Extracted by Using Deep Neural Networks
Yotaro Kubo, Takaaki Hori, Atsushi Nakamura (NTT) SP2012-57
Multilayer perceptrons, which include more than 2 hidden layers, are known to be efficient for modeling of complex class... [more] SP2012-57
SP 2007-11-28 Chiba Chiba Institute of Technology A Study on Speech Recognizer based on Temporal AM-FM analysis
Yotaro Kubo (Waseda Univ.), Shigeki Okawa (Chiba Inst. Tech.), Akira Kurematsu, Katsuhiko Shirai (Waseda Univ.) SP2007-91
 [more] SP2007-91
SP 2007-06-29
Fukushima The University of Aizu Automatic Speech Recognition using Narrow-band Analytic Signal and Non-linear Discriminant Analysis
Yotaro Kubo (Waseda Univ.), Shigeki Okawa (CIT), Akira Kurematsu, Katsuhiko Shirai (Waseda Univ.) SP2007-22
We have developed a novel feature extraction system that uses narrow-band analytic signal.

Proposed method is compris... [more]
 Results 1 - 6 of 6  /   
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