H. Okuno

Publications
Influence

Blind Separation and Dereverberation of Speech Mixtures by Joint Optimization

T. Yoshioka, T. Nakatani, M. Miyoshi, H. Okuno
Computer Science
IEEE Transactions on Audio, Speech, and Language…
2011

This paper proposes a method for performing blind source separation (BSS) and blind dereverberation (BD) at the same time for speech mixtures. Expand

Audio-visual speech recognition using deep learning

K. Noda, Y. Yamaguchi, K. Nakadai, H. Okuno, Tetsuya Ogata
Computer Science
Applied Intelligence
1 June 2015

This study introduces a connectionist-hidden Markov model (HMM) system for noise-robust AVSR. Expand

Singer Identification Based on Accompaniment Sound Reduction and Reliable Frame Selection

Hiromasa Fujihara, T. Kitahara, M. Goto, Kazunori Komatani, Tetsuya Ogata, H. Okuno
Computer Science
ISMIR
1 December 2005

This paper describes a method for automatic singer identification from polyphonic musical audio signals including sounds of various instruments. Expand

Design and Implementation of Robot Audition System 'HARK' — Open Source Software for Listening to Three Simultaneous Speakers

K. Nakadai, T. Takahashi, H. Okuno, Hirofumi Nakajima, Yuji Hasegawa, H. Tsujino
Computer Science
Adv. Robotics
1 January 2010

This paper presents the design and implementation of the HARK robot audition software system consisting of sound source localization modules, sound source separation modules and automatic speech recognition modules of separated speech signals that works on any robot with any microphone configuration. Expand

A Modeling of Singing Voice Robust to Accompaniment Sounds and Its Application to Singer Identification and Vocal-Timbre-Similarity-Based Music Information Retrieval

Hiromasa Fujihara, M. Goto, T. Kitahara, H. Okuno
Computer Science
IEEE Transactions on Audio, Speech, and Language…
1 March 2010

This paper describes a method of modeling the characteristics of a singing voice from polyphonic musical audio signals including sounds of various musical instruments. Expand

Active Audition for Humanoid

K. Nakadai, T. Lourens, H. Okuno, H. Kitano
Computer Science
AAAI/IAAI
30 July 2000

In this paper, we present an active audition system for humanoid robot “SIG the humanoid” . Expand

Lipreading using convolutional neural network

K. Noda, Y. Yamaguchi, K. Nakadai, H. Okuno, Tetsuya Ogata
Computer Science
INTERSPEECH
2014

In this paper, we propose to apply a convolutional neural network (CNN) as a visual feature extraction mechanism for VSR. Expand

Instrument Identification in Polyphonic Music: Feature Weighting to Minimize Influence of Sound Overlaps

T. Kitahara, M. Goto, Kazunori Komatani, Tetsuya Ogata, H. Okuno
Computer Science
EURASIP J. Adv. Signal Process.
2007

We provide a new solution to the problem of feature variations caused by the overlapping of sounds in instrument identification in polyphonic music. Expand

Flexible Guidance Generation Using User Model in Spoken Dialogue Systems

Kazunori Komatani, S. Ueno, Tatsuya Kawahara, H. Okuno
Computer Science
ACL
7 July 2003

We address appropriate user modeling in order to generate cooperative responses to each user in spoken dialogue systems. Expand

An Efficient Hybrid Music Recommender System Using an Incrementally Trainable Probabilistic Generative Model

K. Yoshii, M. Goto, K. Komatani, Tetsuya Ogata, H. Okuno
Computer Science
IEEE Transactions on Audio, Speech, and Language…
1 February 2008

This paper presents a hybrid music recommender system that ranks musical pieces while efficiently maintaining collaborative and content-based data, i.e., rating scores given by users and acoustic features of audio signals. Expand

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