S. Sagayama

H. Yamasue, Nobutaka Ono, S. Sagayama, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Speech Recognition Using Function-Word N-Grams and Content-Word N-Grams

Ryosuke Isotani, Shigeki Sagayama, Shoichi Matsunaga, 1995, IEICE Trans. Inf. Syst..

Spoken Language Translation System

Kenji Kita, Masami Suzuki, Masaaki Nagata, 1993, IJCAI.

Model of Acquisition of Phonetic Categories by Youn g Infants : A Templatic Representation for Speech Signals

S. Sagayama, Emmanuel Dupoux, Guillaume Beraud-Sudreau, 2007 .

Use of Nods Less Synchronized with Turn-Taking and Prosody During Conversations in Adults with Autism

H. Yamasue, Nobutaka Ono, S. Sagayama, 2022, INTERSPEECH.

Method of generating a subword model for speech recognition

S. Sagayama, Jun-ichi Takami, 1998 .

Galatea : An Anthropomorphic Spoken Dialogue Agent Toolkit

Keikichi Hirose, Nobuaki Minematsu, Atsuhiko Kai, 2003 .

Anthropomorphic Agent as an Integrating Platform of Audio-Visual Information

S. Sagayama, T. Nishimoto, 2003 .

A Stochastic Temporal Model of Polyphonic MIDI Performance with Ornaments

Eita Nakamura, Kenji Watanabe, Shigeki Sagayama, 2014, ArXiv.

Polyphonic music signal analysis using non-negative matrix factorization with deformable bases

Hirokazu Kameoka, Jonathan Le Roux, Masahiro Nakano, 2010 .

Telephone line characteristic adaptation using vector field smoothing technique

Jun-ichi Takahashi, Shigeki Sagayama, S. Sagayama, 1994, ICSLP.

Design of Software Toolkit for Anthropomorphic Spoken Dialog Agent Software with Customization-oriented Features

Keikichi Hirose, Nobuaki Minematsu, Atsuhiko Kai, 2002 .

Estimation of unknown context using a phoneme environment clustering algorithm

Shigeki Sagayama, Shigeru Honrna, S. Sagayama, 1990, ICSLP.

Speech Spectrum Modeling for Joint Estimation of Spectral Envelope and Fundamental Frequency

Hirokazu Kameoka, Shigeki Sagayama, Nobutaka Ono, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Single and Multiple F0 Contour Estimation Through Parametric Spectrogram Modeling of Speech in Noisy Environments

Hirokazu Kameoka, Jonathan Le Roux, Alain de Cheveigné, 2007, IEEE Trans. Speech Audio Process..

Harmonic-Temporal Clustering of Speech for Single and Multiple F0 Contour Estimation in Noisy Environments

Hirokazu Kameoka, Jonathan Le Roux, Alain de Cheveigné, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Two-step generation of variable-word-length language model integrating local and global constraints

Shigeki Sagayama, Shoichi Matsunaga, S. Sagayama, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

An Operation Analysis of An Address Input System with Speech Recognition

Shigeki Sagayama, Osamu Yoshioka, Kazuhiro Arai, 1995 .

A Structure-Synthesis Image Inpainting Algorithm Based on Morphological Erosion Operation

Hao Guo, Shigeki Sagayama, Nobutaka Ono, 2008, 2008 Congress on Image and Signal Processing.

Minimum classification error training for a small amount of data enhanced by vector-field-smoothed Bayesian learning

Jun-ichi Takahashi, Shigeki Sagayama, S. Sagayama, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Dynamic Bayesian Networks for Symbolic Polyphonic Pitch Modeling

Emmanuel Vincent, Shigeki Sagayama, Stanislaw Andrzej Raczynski, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Computational auditory induction as a missing-data model-fitting problem with Bregman divergence

Hirokazu Kameoka, Jonathan Le Roux, Alain de Cheveigné, 2011, Speech Commun..

Harmonic-Temporal-Timbral Clustering (HTTC) for the analysis of multi-instrument polyphonic music signals

Hirokazu Kameoka, Shigeki Sagayama, Nobutaka Ono, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Single Channel Speech and Background Segregation Through Harmonic-Temporal Clustering

Hirokazu Kameoka, Shigeki Sagayama, Nobutaka Ono, 2007, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips

Eita Nakamura, Shigeki Sagayama, Tomohiko Nakamura, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

A Real-time Audio-to-audio Karaoke Generation System for Monaural Recordings Based on Singing Voice Suppression and Key Conversion Techniques

Shigeki Sagayama, Nobutaka Ono, Yuu Mizuno, 2016, J. Inf. Process..

Autoregressive Hidden Semi-Markov Model of Symbolic Music Performance for Score Following

Eita Nakamura, Shigeki Sagayama, Arshia Cont, 2015, ISMIR.

Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following

Yasuyuki Saito, Eita Nakamura, Shigeki Sagayama, 2014, ArXiv.

Merged-Output Hidden Markov Model for Score Following of MIDI Performance with Ornaments, Desynchronized Voices, Repeats and Skips

Yasuyuki Saito, Eita Nakamura, Shigeki Sagayama, 2014, ICMC.

ACOUSTIC SCORE FOLLOWING TO MUSICAL PERFORMANCE WITH ERRORS AND ARBITRARY REPEATS AND SKIPS FOR AUTOMATIC ACCOMPANIMENT

Eita Nakamura, Shigeki Sagayama, Tomohiko Nakamura, 2013 .

Templatic features for modeling phoneme acquisition

Shigeki Sagayama, Emmanuel Dupoux, Guillaume Beraud-Sudreau, 2011, CogSci.

Model Adaptation for Long Convolutional Distortion by Maximum Likelihood Based State Filtering Approach

Shigeki Sagayama, Takuya Nishimoto, Chandra Kant Raut, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Five classes of crystal arrays for blind decorrelation of diffuse noise

S. Sagayama, N. Ono, S. Sagayama, 2008, 2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop.

Sound Source Localization with Front-Back Judgement by Two Microphones Asymmetrically Mounted on a Sphere

Souichiro Fukamachi, Shigeki Sagayama, Nobutaka Ono, 2008, J. Multim..

Isotropic Noise Suppression in the Power Spectrum Domain by Symmetric Microphone Arrays

Shigeki Sagayama, Nobutaka Ono, Nobutaka Ono, 2007, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Sound Source Localization by Asymmetrically Arrayed 2ch Microphones on a Sphere

Souichiro Fukamachi, Shigeki Sagayama, Nobutaka Ono, 2007, 2007 IEEE 9th Workshop on Multimedia Signal Processing.

Learning process of a neural network

Shigeki Sagayama, Yasuhiro Komori, S. Sagayama, 1992 .

ATR's speech translation system: ASURA

Masaaki Nagata, Akira Kurematsu, Tsuyoshi Morimoto, 1993, EUROSPEECH.

Vector-field-smoothed Bayesian learning for incremental speaker adaptation

Jun-ichi Takahashi, Shigeki Sagayama, S. Sagayama, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Probabilistic speech F0 contour model incorporating statistical vocabulary model of phrase-accent command sequence

Hirokazu Kameoka, Daisuke Saito, Shigeki Sagayama, 2013, INTERSPEECH.

Generative modeling of speech F0 contours

Hirokazu Kameoka, Kunio Kashino, Shigeki Sagayama, 2013, INTERSPEECH.

Hidden Markov Convolutive Mixture Model for Pitch Contour Analysis of Speech

Hirokazu Kameoka, Daisuke Saito, Shigeki Sagayama, 2012, INTERSPEECH.

Asynchronous-Transition HMM for Acoustic Modeling

Shigeki Sagayama, S. Sagayama, 2000 .

LR-parser-driven Viterbi search with hypotheses merging mechanism using context-dependent phone models

Shigeki Sagayama, Tomokazu Yamada, S. Sagayama, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

A successive state splitting algorithm for efficient allophone modeling

Shigeki Sagayama, Jun-ichi Takami, S. Sagayama, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Automatic song composition from the lyrics exploiting prosody of Japanese language

Satoru Fukayama, Kei Nakatsuma, Shigeki Sagayama, 2010 .

Assistance for Novice Users on Creating Songs from Japanese Lyrics

Satoru Fukayama, Daisuke Saito, Shigeki Sagayama, 2012, ICMC.

Explicit consistency constraints for STFT spectrograms and their application to phase reconstruction

Jonathan Le Roux, Shigeki Sagayama, Nobutaka Ono, 2008, SAPA@INTERSPEECH.

Separation of a monaural audio signal into harmonic/percussive components by complementary diffusion on spectrogram

Hirokazu Kameoka, Jonathan Le Roux, Shigeki Sagayama, 2008, 2008 16th European Signal Processing Conference.

AUTOMATIC MUSIC COMPOSITION BASED ON COUNTERPOINT AND IMITATION USING STOCHASTIC MODELS

Nobutaka Ono, S. Sagayama, T. Nishimoto, 2010 .

Melody line estimation in homophonic music audio signals based on temporal-variability of melodic source

Shigeki Sagayama, Nobutaka Ono, Hideyuki Tachibana, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Harmonic/Percussive Sound Separation Based on Anisotropic Smoothness of Spectrograms

Hirokazu Kameoka, Shigeki Sagayama, Nobutaka Ono, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Automatic Selection and Concatenation System for Jazz Piano Trio Using Case Data

Shigeki Sagayama, Takeshi Hori, Kazuyuki Nakamura, 2017 .

Jazz piano trio synthesizing system based on HMM and DNN

Shigeki Sagayama, Takeshi Hori, Kazuyuki Nakamura, 2019 .

Computational Model of Jam Session From Statistical Analysis of Music Rendering Features

S. Sagayama, Kazuyuki Nakamura, T. Hori, 2016 .

Sparseness-Based 2CH BSS using the EM Algorithm in Reverberant Environment

Shigeki Sagayama, Nobutaka Ono, Yosuke Izumi, 2007, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Galatea: Open-Source Software for Developing Anthropomorphic Spoken Dialog Agents

Keiichi Tokuda, Keikichi Hirose, Nobuaki Minematsu, 2004, Life-like characters.

ATREUS: a comparative study of continuous speech recognition systems at ATR

Akira Kurematsu, Shigeki Sagayama, Akito Nagai, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

An interactive music composition system based on autonomous maintenance of musical consistency

Satoru Fukayama, Haruhiro Katayose, Shigeki Sagayama, 2011 .

Speech recognition and synthesis technology development at NTT for telecommunications services

Shigeki Sagayama, Mikio Kitai, Kazuo Hakoda, 1997, Int. J. Speech Technol..

Generation of hierarchical dictionary for stroke-order free Kanji handwriting recognition based on substroke HMM

Shigeki Sagayama, Hiroshi Shimodaira, Mitsuru Nakai, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Substroke approach to HMM-based on-line Kanji handwriting recognition

Shigeki Sagayama, Hiroshi Shimodaira, Mitsuru Nakai, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

Jacobian adaptation of HMM with initial model selection for noisy speech recognition

Shigeki Sagayama, Hiroshi Shimodaira, Mitsuru Nakai, 2000, INTERSPEECH.

Rhythm Transcription of Polyphonic Piano Music Based on Merged-Output HMM for Multiple Voices

Eita Nakamura, Kazuyoshi Yoshii, Shigeki Sagayama, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

A Multipitch Analyzer Based on Harmonic Temporal Structured Clustering

Hirokazu Kameoka, Shigeki Sagayama, Takuya Nishimoto, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Orpheus: Automatic Composition System Considering Prosody of Japanese Lyrics

Satoru Fukayama, Kei Nakatsuma, Shigeki Sagayama, 2009, ICEC.

Automatic Decision of Piano Fingering Based on a Hidden Markov Models

Hirokazu Kameoka, Shigeki Sagayama, Yuichiro Yonebayashi, 2007, IJCAI.

Music chord recognition from audio data using bidirectional encoder-decoder LSTMs

Shigeki Sagayama, Takeshi Hori, Kazuyuki Nakamura, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Blind alignment of asynchronously recorded signals for distributed microphone array

Nobutaka Ito, Shigeki Sagayama, Nobutaka Ono, 2009, 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Bayesian nonparametric spectrogram modeling based on infinite factorial infinite hidden Markov model

Hirokazu Kameoka, Jonathan Le Roux, Masahiro Nakano, 2011, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Infinite-state spectrum model for music signal analysis

Hirokazu Kameoka, Jonathan Le Roux, Masahiro Nakano, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Complex NMF: A new sparse representation for acoustic signals

Hirokazu Kameoka, Kunio Kashino, Shigeki Sagayama, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Model composition by lagrange polynomial approximation for robust speech recognition in noisy environment

Shigeki Sagayama, Takuya Nishimoto, Chandra Kant Raut, 2004, INTERSPEECH.

Variant of Viterbi algorithm based on p-Norm

Shigeki Sagayama, Gen Hori, S. Sagayama, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

L-VITERBI ALGORITHM FOR AUTOMATIC FINGERING DECISION

Shigeki Sagayama, Gen Hori, S. Sagayama, 2017 .

Minimax Viterbi Algorithm for HMM-Based Guitar Fingering Decision

Shigeki Sagayama, Gen Hori, S. Sagayama, 2016, ISMIR.

HMM-Based Automatic Arrangement for Guitars with Transposition and its Implementation

Shigeki Sagayama, Gen Hori, S. Sagayama, 2014, ICMC.

Input-Output HMM Applied to Automatic Arrangement for Guitars

Hirokazu Kameoka, Shigeki Sagayama, Gen Hori, 2013, J. Inf. Process..

Nonnegative Matrix Factorization with Markov-Chained Bases for Modeling Time-Varying Patterns in Music Spectrograms

Hirokazu Kameoka, Jonathan Le Roux, Masahiro Nakano, 2010, LVA/ICA.

An auxiliary-function approach to online independent vector analysis for real-time blind source separation

Shigeki Sagayama, Nobutaka Ono, Toru Taniguchi, 2014, 2014 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA).

Separation of harmonic structures based on tied Gaussian mixture model and information criterion for concurrent sounds

Hirokazu Kameoka, Shigeki Sagayama, Takuya Nishimoto, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Support vector machine with dynamic time-alignment kernel for speech recognition

Shigeki Sagayama, Hiroshi Shimodaira, Mitsuru Nakai, 2001, INTERSPEECH.

Dynamic Bayesian networks for symbolic polyhonic pitch modeling

S. Sagayama, S. Raczynski, Emmanuel Vincent, 2011 .

Multiple Pitch Transcription using DBN-based Musicological Models

E. Vincent, S. Sagayama, F. Bimbot, 2010, ISMIR.

Note detection with dynamic bayesian networks as a postanalysis step for NMF-based multiple pitch estimation techniques

Shigeki Sagayama, Nobutaka Ono, Stanislaw Andrzej Raczynski, 2009, 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Merged-Output HMM for Piano Fingering of Both Hands

Eita Nakamura, Shigeki Sagayama, Nobutaka Ono, 2014, ISMIR.

A continuous speech recognition system based on a two-level grammar approach

Sadaoki Furui, Shoichi Matsunaga, Shigeki Sagayama, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Rhythm and Tempo Recognition of Music Performance from a Probabilistic Approach

Shigeki Sagayama, Takuya Nishimoto, Haruto Takeda, 2004, ISMIR.

Multipitch Analysis with Harmonic Nonnegative Matrix Approximation

Shigeki Sagayama, Nobutaka Ono, Stanislaw Andrzej Raczynski, 2007, ISMIR.

Designing the Wiener post-filter for diffuse noise suppression using imaginary parts of inter-channel cross-spectra

Emmanuel Vincent, Nobutaka Ito, Shigeki Sagayama, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Minimum error classification training of HMMs-Implementation details and experimental results.:Implementation details and experimental results

David Rainton, Shigeki Sagayama, S. Sagayama, 1992 .

An interactive music composition system based on autonomous maintenance of musical consistency

S. Sagayama, Tetsuro Kitahara, H. Katayose, 2011 .

HMM-based approach for automatic chord detection using refined acoustic features

Shigeki Sagayama, Nobutaka Ono, Takuya Nishimoto, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Minimum Classification Error Training to Improve Isolated Chord Recognition

Chin-Hui Lee, Shigeki Sagayama, Sabato Marco Siniscalchi, 2009, ISMIR.

Blind Estimation of Locations and Time Offsets for Distributed Recording Devices

Shigeki Sagayama, Keisuke Hasegawa, Nobutaka Ono, 2010, LVA/ICA.

Beyond Timbral Statistics: Improving Music Classification Using Percussive Patterns and Bass Lines

E Tsunoo, G Tzanetakis, N Ono, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Musical Bass-Line Pattern Clustering and Its Application to Audio Genre Classification

Emiru Tsunoo, Shigeki Sagayama, Nobutaka Ono, 2009, ISMIR.

Free software toolkit for Japanese large vocabulary continuous speech recognition

K. Shikano, K. Takeda, Tetsunori Kobayashi, 2000, INTERSPEECH.

Experimental interactive system for telephone applications with speech recognition and synthesis functions

Satoshi Takahashi, Shigeki Sagayama, Kazuhiro Arai, 1996, Proceedings of IVTTA '96. Workshop on Interactive Voice Technology for Telecommunications Applications.

Minimum error classification training of HMMs

Shigeki Sagayama, David Rainton, S. Sagayama, 1992 .

Automatic Piano Reduction from Ensemble Scores Based on Merged-Output Hidden Markov Model

Eita Nakamura, Shigeki Sagayama, S. Sagayama, 2015, ICMC.

Consistent Wiener filtering: designing generalized time-frequency masks respecting spectrogram consistency

Hirokazu Kameoka, Jonathan Le Roux, Emmanuel Vincent, 2010 .

A Roadmap Towards Versatile MIR

Emmanuel Vincent, Shigeki Sagayama, Nobutaka Ono, 2010, ISMIR.

Autoregressive MFCC Models for Genre Classification Improved by Harmonic-percussion Separation

Nobutaka Ono, S. Sagayama, S. Miyabe, 2010, ISMIR.

Phoneme recognition by phoneme filter neural networks

Shigeki Sagayama, M. Nakamura, S. Tamura, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

A pairwise discriminant approach to robust phoneme recognition by time-delay neural networks

Shigeki Sagayama, Jun-ichi Takami, S. Sagayama, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Explicit beat structure modeling for non-negative matrix factorization-based multipitch analysis

Hirokazu Kameoka, Shigeki Sagayama, Kazuki Ochiai, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Extending Nonnegative Matrix Factorization—A discussion in the context of multiple frequency estimation of musical signals

Shigeki Sagayama, Nobutaka Ono, Stanislaw Andrzej Raczynski, 2009, 2009 17th European Signal Processing Conference.

Computational auditory induction by missing-data non-negative matrix factorization

Hirokazu Kameoka, Jonathan Le Roux, Alain de Cheveigné, 2008, SAPA@INTERSPEECH.

MIREX 2007 : MULTIPLE FUNDAMENTAL FREQUENCY ESTIMATION AND TRACKING HARMONIC NONNEGATIVE MATRIX APPROXIMATION

Nobutaka Ono, S. Sagayama, S. Raczynski, 2007 .