Shigeki Sagayama

发表

Matrix parser and its application to HMM-based speech recognition

Harald Singer, Shigeki Sagayama, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Multiresolutional Hierarchical Bayesian NMF for Detailed Audio Analysis of Music Performances

Shigeki Sagayama, Takeshi Hori, Kazuyuki Nakamura, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Speaker adaptation based on transfer vector field smoothing with continuous mixture density HMMs

Shigeki Sagayama, Masahide Sugiyama, Kazumi Ohkura, 1992, ICSLP.

A Discussion of Acoustic Problems in Spontaneous Speech Recognition

Shigeki Sagayama, Jin'ichi Murakami, 1995 .

Probabilistic model of two-dimensional rhythm tree structure representation for automatic transcription of polyphonic MIDI signals

Hirokazu Kameoka, Shigeki Sagayama, Masato Tsuchiya, 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

Semi-Supervised NMF in the chroma Domain Applied to Music Harmony Estimation

Shigeki Sagayama, Takeshi Hori, Takuya Takahashi, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Crystal-MUSIC: Accurate Localization of Multiple Sources in Diffuse Noise Environments Using Crystal-Shaped Microphone Arrays

Rémi Gribonval, Emmanuel Vincent, Nobutaka Ito, 2010, LVA/ICA.

Iterative unsupervised speaker adaptation for batch dictation

Jun-ichi Takahashi, Shigeki Sagayama, Shigeru Homma, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Specmurt Analysis of Polyphonic Music Signals

Hirokazu Kameoka, Keigo Takahashi, Shigeki Sagayama, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

Templatic features for modeling phoneme acquisition

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

Modulation analysis of speech through orthogonal FIR filterbank optimization

Hirokazu Kameoka, Jonathan Le Roux, Alain de Cheveigné, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Segmentation and Feature Extraction of Patterns

Shigeki Sagayama, Sadao Fujimura, 1974 .

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.

A matrix representation of HMM-based speech recognition algorithms

Shigeki Sagayama, 1991, EUROSPEECH.

Speaker-Dependent Voice Activity Detection Robust to Background Speech Noise

Hideki Kashioka, Shigeki Matsuda, Shigeki Sagayama, 2012, INTERSPEECH.

Hidden Markov Network for Precise and Robust Acoustic Modeling

Shigeki Sagayama, 1996 .

Fast adaptation of acoustic models to environmental noise using jacobian adaptation algorithm

Satoshi Takahashi, Shigeki Sagayama, Yoshikazu Yamaguchi, 1997, EUROSPEECH.

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

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

Selective Amplifier of Periodic and Non-periodic Components in Concurrent Audio Signals with Spectral Control Envelopes

Hirokazu Kameoka, Masataka Goto, Shigeki Sagayama, 2006 .

Musical instrument identification based on harmonic temporal timbre features

Jun Wu, Shigeki Sagayama, Nobutaka Ono, 2010, SAPA@INTERSPEECH.

Vector field smoothing principle for speaker adaptation

Shigeki Sagayama, Hiroaki Hattori, S. Sagayama, 1992, ICSLP.

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.

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

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

Context-dependent substroke model for HMM-based on-line handwriting recognition

Shigeki Matsuda, Shigeki Sagayama, Hiroshi Shimodaira, 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

Constrained and regularized variants of non-negative matrix factorization incorporating music-specific constraints

Hirokazu Kameoka, Kunio Kashino, Masahiro Nakano, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

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

On-line overlaid-handwriting recognition based on substroke HMMs

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

A dynamic approach to speaker adaptation of hidden Markov networks for speech recognition

Tetsuo Kosaka, Shigeki Sagayama, Edward Willems, 1993, EUROSPEECH.

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.

Fast and accurate beam search using forward heuristic functions in HMM-LR speech recognition

Shigeki Sagayama, Yoshiaki Noda, 1995, EUROSPEECH.

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).

Speaker-Consistent Parsing for Speaker-Independent Continuous Speech Recognition

Harald Singer, Shigeki Sagayama, Shoichi Matsunaga, 1994, IEICE Trans. Inf. Syst..

Jacobian adaptation of noisy speech models

Shigeki Sagayama, Y. Yamaguchi, S. Takahashi, 1997, 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings.

Trends of ASR and TTS applications in Japan

Shigeki Sagayama, Mikio Kitai, Kazuo Hakoda, 1996, Proceedings of IVTTA '96. Workshop on Interactive Voice Technology for Telecommunications Applications.

ASR and TTS telecommunications applications in Japan

Satoshi Takahashi, Jun-ichi Takahashi, Hajime Tsukada, 1997, Speech Commun..

Monophonic Instrument Sound Segregation by Clustering NMF Components Based on Basis Similarity and Gain Disjointness

Masahiro Nakano, Shigeki Sagayama, Nobutaka Ono, 2010, ISMIR.

Apparatus, method, and program for signal separation

Hirokazu Kameoka, Shigeki Sagayama, Emmanuel Vincent, 2010 .

Speaker Adaptation Based on Vector Field Smoothing

Shigeki Sagayama, Hiroaki Hattori, 1993 .

A pairwise discriminant approach using artificial neural networks for continuous speech recognition

Atsuhiko Kai, Shigeki Sagayama, Jun-ichi Takami, 1992 .

Speaker adaptation of acoustic models using correlations of training transfer vectors

Satoshi Takahashi, Shigeki Sagayama, 2000, Systems and Computers in Japan.

FRAME-BY-FRAME HMM ADAPTATION FOR REVERBERANT SPEECH RECOGNITION

Shigeki Sagayama, Hitoshi Yamamoto, Takuya Nishimoto, 2004 .

The possibility for acquisition of statistical network grammar using ergodic HMM

Shigeki Sagayama, Jin'ichi Murakami, Hiroki Yamatomo, 1993, EUROSPEECH.

Automatic song composition from the lyrics exploiting prosody of Japanese language

Satoru Fukayama, Kei Nakatsuma, Shigeki Sagayama, 2010 .

Text-to-speech synthesizer based on combination of composite wavelet and hidden Markov models

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

On-line Handwritten Character Recognition Selectively Employing Hierarchical Spatial Relationships among Subpatterns

Shigeki Sagayama, Masaki Nakagawa, Hiroshi Shimodaira, 2006 .

Rhythm and Tempo Analysis Toward Automatic Music Transcription

Shigeki Sagayama, Takuya Nishimoto, Haruto Takeda, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Multiple Pitch Transcription using DBN-based Musicological Models

Emmanuel Vincent, Frédéric Bimbot, Shigeki Sagayama, 2010, ISMIR.

Consistent Wiener Filtering: Generalized Time-Frequency Masking Respecting Spectrogram Consistency

Hirokazu Kameoka, Jonathan Le Roux, Emmanuel Vincent, 2010, LVA/ICA.

A speaker-adaptation technique for context-dependent models represented by hidden markov networks

Shigeki Sagayama, Jun-ichi Takami, 1996, Systems and Computers in Japan.

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.

Minimum error classification training of HMMs

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

Estimation of unknown context using a phoneme environment clustering algorithm

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

Hidden Markov Convolutive Mixture Model for Pitch Contour Analysis of Speech

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

Hidden Markov Model Applied to Automatic Harmonization of Given Melodies

Shigeki Sagayama, Takashi Kawakami, Hiroshi Shimodaira, 2000 .

Appropriate error criterion selection for continuous speech HMM minimum error training

Shigeki Sagayama, David Rainion, 1992, ICSLP.

General algorithms for estimating spectrogram and transfer functions of target signal for blind suppression of diffuse noise

Emmanuel Vincent, Nobutaka Ito, Shigeki Sagayama, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

ATREUS: a speech recognition front-end for a speech translation system

Kenji Kita, Harald Singer, Akira Kurematsu, 1993, EUROSPEECH.

Multichannel signaldekodierverfahren for associated device program, and recording medium for

Takehiro Moriya, Shigeki Sagayama, Noboru Harada, 2005 .

Speech recognition by combining pairwise discriminant time-delay neural networks and predictive LR-parser

Atsuhiko Kai, Shigeki Sagayama, Jun-ichi Takami, 1991, Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop.

Life-Like Characters. Tools, Affective Functions, and Applications

Keiichi Tokuda, Keikichi Hirose, Nobuaki Minematsu, 2003 .

A neural fuzzy training approach for improving speech recognition

Alexander H. Waibel, Shigeki Sagayama, Yasuhiro Komori, 1993, Systems and Computers in Japan.

Four-level tied-structure for efficient representation of acoustic modeling

Satoshi Takahashi, Shigeki Sagayama, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

HMM's state clustering using word contexts for spontaneous speech recognition

Koichi Shinoda, Shigeki Sagayama, Takuya Nishimoto, 2003 .

Harmonic-Temporal Clustering via Deterministic Annealing EM Algorithm for Audio Feature Extraction

Hirokazu Kameoka, Shigeki Sagayama, Takuya Nishimoto, 2005, ISMIR.

ATR's speech translation system: ASURA

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

Statistical Approach to Automatic Expressive Rendition of Polyphonic Piano Music

Satoru Fukayama, Shigeki Sagayama, Takuya Nishimoto, 2013, Guide to Computing for Expressive Music Performance.

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.

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).

Input-Output HMM Applied to Automatic Arrangement for Guitars

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

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.

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

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

Duality theory of composite sinusoidal modeling and linear prediction

Shigeki Sagayama, F. Itakura, 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Speech Analysis, Synthesis, and Recognition: A Brief Review

Fumitada Itakura, Shigeki Sagayama, 1980 .

Galatea : An Anthropomorphic Spoken Dialogue Agent Toolkit

Keikichi Hirose, Nobuaki Minematsu, Atsuhiko Kai, 2003 .

Automatic Decision of Piano Fingering Based on a Hidden Markov Models

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

Discrete mixture HMM

Satoshi Takahashi, Shigeki Sagayama, Kiyoaki Aikawa, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Discriminative Training Based on Minimum Classification Error for a Small Amount of Data Enhanced by Vector-Field-Smoothed Bayesian Learning

Shigeki Sagayama, Junichi Takahashi, 1996 .

LR Parsing with a Category Reachability Test Applied to Speech Recognition (Special Issue on Speech and Discourse Processing in Dialogue Systems)

Kenji Kita, Tsuyoshi Morimoto, Shigeki Sagayama, 1993 .

On-line handwritten Kanji string recognition based on grammar description of character structures

Ryo Yamamoto, Shigeki Sagayama, Takuya Nishimoto, 2008, 2008 19th International Conference on Pattern Recognition.

Automatic Music Component Selection Based on Impression of Input Movies

Takayuki Itoh, Shigeki Sagayama, Masahiro Takatsuka, 2018, 2018 Nicograph International (NicoInt).

Tied-Structure for Acoustic Models Based on Vector Field Correlations

Satoshi Takahashi, Shigeki Sagayama, 1995 .

Audio genre classification using percussive pattern clustering combined with timbral features

George Tzanetakis, Emiru Tsunoo, Shigeki Sagayama, 2009, 2009 IEEE International Conference on Multimedia and Expo.

Variable-length language modeling integrating global constraints

Shigeki Sagayama, Shoichi Matsunaga, 1997, EUROSPEECH.

Introduction to the Special Section on Deep Learning for Speech and Language Processing

Jen-Tzung Chien, Geoffrey E. Hinton, Dong Yu, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Singing Voice Enhancement in Monaural Music Signals Based on Two-stage Harmonic/Percussive Sound Separation on Multiple Resolution Spectrograms

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

Feature-dependent allophone clustering

Shigeki Matsuda, Shigeki Sagayama, Hiroshi Shimodaira, 2000, INTERSPEECH.

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.

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.

Blind Source Separation with Distributed Microphone Pairs Using Permutation Correction by Intra-Pair TDOA Clustering

Shigeki Sagayama, Nobutaka Ono, Shigeki Miyabe, 2010 .

An address data entry system with a multimodal interface including speech recognition

Shigeki Sagayama, Osamu Yoshioka, Kazuhiro Arai, 1999, Systems and Computers in Japan.

Online Handwritten Kanji Recognition Based on Inter-stroke Grammar

Ryo Yamamoto, Shigeki Sagayama, Shinji Sako, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Automatic Music Completion Based on Joint Optimization of Harmony Progression and Voicing

Shigeki Sagayama, Christoph M. Wilk, 2019, J. Inf. Process..

Hidden Markov model for automatic transcription of MIDI signals

Tomoshi Otsuki, Shigeki Sagayama, Naoki Saito, 2002, 2002 IEEE Workshop on Multimedia Signal Processing..

Speaker-independent speech recognition based on tree-structured speaker clustering

Tetsuo Kosaka, Shigeki Sagayama, Shoichi Matsunaga, 1996, Comput. Speech Lang..

Phoneme-context-dependent LR parsing algorithms for HMM-based continuous speech recognition

Kenji Kita, Shigeki Sagayama, Akito Nagai, 1991, EUROSPEECH.

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

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

Lossless Compression of Multi-channel Signals Using Inter-channel Correlation

Takehiro Moriya, Shigeki Sagayama, Takuya Nishimoto, 2005 .

Multi-pitch Detection Algorithm Using Constrained Gaussian Mixture Model and Information Criterion for Simultaneous Speech

Hirokazu Kameoka, Shigeki Sagayama, Takuya Nishimoto, 2004 .

Semantic Indexing and Known Item Search Based on a Unified Model with Topic Transition Representation

Hirokazu Kameoka, Kunio Kashino, Shigeki Sagayama, 2010, TRECVID.

Automatic rhythm transcription from multiphonic MIDI signals

Shigeki Sagayama, Takuya Nishimoto, Haruto Takeda, 2003, ISMIR.

Orpheus: Automatic Composition System Considering Prosody of Japanese Lyrics

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

Blind Separation of Infinitely Many Sparse Sources

Hirokazu Kameoka, Shigeki Sagayama, Nobutaka Ono, 2012, IWAENC.

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

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

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.

Improved estimation of supervision in unsupervised speaker adaptation

Shigeki Sagayama, Kiyoaki Aikawa, Shigeru Homma, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal 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..

Diffuse Noise Suppression Using Crystal-Shaped Microphone Arrays

Nobutaka Ito, Shigeki Sagayama, Hikaru Shimizu, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Free software toolkit for Japanese large vocabulary continuous speech recognition

Nobuaki Minematsu, Kiyohiro Shikano, Tetsunori Kobayashi, 2000, INTERSPEECH.

Variable-length coding of ACELP gain using Entropy-Constrained VQ

Takehiro Moriya, Shigeki Sagayama, Nobutaka Ono, 2012, 2012 International Symposium on Communications and Information Technologies (ISCIT).

A music structure inference algorithm based on symbolic data analysis

Emmanuel Vincent, Frédéric Bimbot, Shigeki Sagayama, 2011 .

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

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

Interactive voice technology development for telecommunications applications

Jun-ichi Takahashi, Sadaoki Furui, Shigeki Sagayama, 1995, Speech Commun..

Statistical study on voice individuality conversion across different languages

Masanobu Abe, Shigeki Sagayama, 1990, ICSLP.

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.

Rapid speaker adaptation using speaker-mixture allophone models applied to speaker-independent speech recognition

Tetsuo Kosaka, Shigeki Sagayama, Jun-ichi Takami, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A blind noise decorrelation approach with crystal arrays on designing post-filters for diffuse noise suppression

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

Tied-structure HMM based on parameter correlation for efficient model training

Satoshi Takahashi, Shigeki Sagayama, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Speech analyzer using a joint estimation model of spectral envelope and fine structure

Hirokazu Kameoka, Jonathan Le Roux, Shigeki Sagayama, 2006, INTERSPEECH.

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.

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.

A Real-time Equalizer of Harmonic and Percussive Components in Music Signals

Hirokazu Kameoka, Shigeki Sagayama, Nobutaka Ono, 2008, ISMIR.

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

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

Automatic Determination of the Number of Mixture Components for Continuous HMMs Based a Uniform Variance Criterion

Tetsuo Kosaka, Shigeki Sagayama, 1995, IEICE Trans. Inf. Syst..

Polyhymnia: An Automatic Piano Performance System with Statistical Modeling of Polyphonic Expression and Musical Symbol Interpretation

Satoru Fukayama, Shigeki Sagayama, Takuya Nishimoto, 2011, NIME.

Specmurt Analysis of Multi-Pitch Music Signals with Adaptive Estimation of Common Harmonic Structure

Hirokazu Kameoka, Shigeki Sagayama, Shoichiro Saito, 2005, ISMIR.

Speech recognition using particle n-grams and content-word n-grams

Ryosuke Isotani, Shigeki Sagayama, 1993, EUROSPEECH.

A sparse component model of source signals and its application to blind source separation

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

Comparative evaluations of various harmonic/percussive sound separation algorithms based on anisotropic continuity of spectrogram

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

Vector-Field-Smoothed Bayesian Learning for Incremental Speaker/ Telephone-Line Adaptation

Shigeki Sagayama, Junichi Takahashi, 1994 .

Syllabic duration control for vocabulary-free speech recognition

Takatoshi Jitsuhiro, Shigeki Sagayama, Tomokazu Yamada, 1995, EUROSPEECH.

Music mood classification by rhythm and bass-line unit pattern analysis

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

Fast telephone channel adaptation based on vector field smoothing technique

Shigeki Sagayama, J.-I. Takahashi, 1994, Proceedings of 2nd IEEE Workshop on Interactive Voice Technology for Telecommunications Applications.

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

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

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.

Automatic Chord Detection Using Harmonic / Percussive Sound Separation from Music Acoustic Signals

Shigeki Sagayama, Nobutaka Ono, Takuya Nishimoto, 2008 .

Unsupervised Speaker Adaptation Using All-Phoneme Ergodic HMM

Shigeki Sagayama, Kazumi Ohkura, Yasunaga Miyazawa, 1994 .

Rhythm map: Extraction of unit rhythmic patterns and analysis of rhythmic structure from music acoustic signals

Emiru Tsunoo, Shigeki Sagayama, Nobutaka Ono, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

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.

Speaker weighted training of HMM using multiple reference speakers

Satoshi Nakamura, Kiyohiro Shikano, Shigeki Sagayama, 1990, ICSLP.

Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following

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

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.

Introduction to the Special Issue on Music Signal Processing

Daniel P. W. Ellis, Anssi Klapuri, Meinard Müller, 2011, IEEE J. Sel. Top. Signal Process..

Dynamic Bayesian Networks for Symbolic Polyphonic Pitch Modeling

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

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.

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.

Phoneme environment clustering for speech recognition

Shigeki Sagayama, S. Sagayama, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

BLIND ALIGNMENTOF ASYNCHRONOUSLYRECORDEDSIGNALS FOR DISTRIBUTED MICROPHONEARRAY

Nobutaka Ito, Shigeki Sagayama, Nobutaka Ono, 2009 .

All-phoneme ergodic hidden Markov network for unsupervised speaker adaptation

Shigeki Sagayama, Shoichi Matsunaga, Jun-ichi Takami, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

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.

Specmurt anasylis: a piano-roll-visualization of polyphonic music signal by deconvolution of log-frequency spectrum

Hirokazu Kameoka, Keigo Takahashi, Shigeki Sagayama, 2004, SAPA@INTERSPEECH.

Sentence speech recognition using semantic dependency analysis

Shigeki Sagayama, Shoichi Matsunaga, 1990, ICSLP.

Harmonic and Percussive Sound Separation and Its Application to MIR-Related Tasks

Hirokazu Kameoka, Jonathan Le Roux, Emiru Tsunoo, 2010, Advances in Music Information Retrieval.

An address data entry system with a multimodal interface including speech recognition

Shigeki Sagayama, Osamu Yoshioka, Kazuhiro Arai, 1999 .

Adaptive prediction order scheme for AMR-WB+

Fan Zhang, Takehiro Moriya, Shigeki Sagayama, 2010, 2010 10th International Symposium on Communications and Information Technologies.

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..

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

Keikichi Hirose, Nobuaki Minematsu, Atsuhiko Kai, 2002 .

Encoding and decoding with long-term forecast, devices, program and recording medium for

Takehiro Moriya, Shigeki Sagayama, Noboru Harada, 2006 .

Evaluation of HMM Based On-line Handwritten Character Recognition with Subcharacter Model Units for the Visually Impaired

Shigeki Sagayama, Hiroshi Shimodaira, Junko Tokuno, 2001 .

A Parameterized Harmony Model for Automatic Music Completion

Shigeki Sagayama, Christoph M. Wilk, 2020, J. Inf. Process..

Joint Estimation of Rhythm and Tempo of Polyphonic MIDI Performance Using Tempo Curve and Hidden Markov Models

Shigeki Sagayama, Takuya Nishimoto, Haruto Takeda, 2007 .

A Multipitch Analyzer Based on Harmonic Temporal Structured Clustering

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

Blind Suppression of Nonstationary Diffuse Acoustic Noise Based on Spatial Covariance Matrix Decomposition

Emmanuel Vincent, Tomohiro Nakatani, Shoko Araki, 2015, J. Signal Process. Syst..

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.

Autism Spectrum Disorder Discrimination Based on Voice Activities Related to Fillers and Laughter

Keiko Ochi, Shigeki Sagayama, Takeshi Hori, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

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.

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

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

Musical Instrument Identification Based on New Boosting Algorithm with Probabilistic Decisions

Jun Wu, Shigeki Sagayama, 2011, CMMR/FRSM.

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

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

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.

IPA Japanese Dictation Free Software Project

Nobuaki Minematsu, Kiyohiro Shikano, Tetsunori Kobayashi, 2000, LREC.

Pen pressure features for writer-independent on-line handwriting recognition based on substroke HMM

Shigeki Sagayama, Takashi Sudo, Hiroshi Shimodaira, 2002, Object recognition supported by user interaction for service robots.

Jacobian joint adaptation to noise, channel and vocal tract length

Shigeki Sagayama, Hiroshi Shimodaira, Mitsuru Nakai, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Analysis on speech characteristics for robust voice activity detection

Shigeki Sagayama, Nobutaka Ono, Takuya Nishimoto, 2010, 2010 IEEE Spoken Language Technology Workshop.

Model adaptation by state splitting of HMM for long reverberation

Shigeki Sagayama, Takuya Nishimoto, Chandra Kant Raut, 2005, INTERSPEECH.

Stereo-Input Speech Recognition Using Sparseness-Based Blind Source Separation

Shinji Watanabe, Shigeki Sagayama, Nobutaka Ono, 2010 .

Polyphonic Pitch Estimation and Instrument Identification by Joint Modeling of Sustained and Attack Sounds

Jun Wu, Emmanuel Vincent, Shigeki Sagayama, 2011, IEEE Journal of Selected Topics in Signal Processing.

Prosodic phrase segmentation based on pitch‐pattern clustering

Shigeki Sagayama, Hiroshi Shimodaira, Mitsuru Nakai, 1994 .

Markov Random Fields Applied to Key Finding, Automatic Harmonization and Automatic Counterpoint

Shigeki Sagayama, Takuya Nishimoto, Ryuichi Yoneda, 2005 .

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).

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

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

Continuously spoken sentence recognition by HMM-LR

Kenji Kita, Tsuyoshi Morimoto, Shigeki Sagayama, 1992, ICSLP.

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.

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.

Automatic video annotation via Hierarchical Topic Trajectory Model considering cross-modal correlations

Hirokazu Kameoka, Kunio Kashino, Shigeki Sagayama, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

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

An efficient lossless compression of multichannel time-series signals by MPEG-4 ALS

Nobutaka Ito, Takehiro Moriya, Shigeki Sagayama, 2009, 2009 IEEE 13th International Symposium on Consumer Electronics.

Asynchronous-transition HMM

Shigeki Matsuda, Shigeki Sagayama, Hiroshi Shimodaira, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

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).

Variant of Viterbi algorithm based on p-Norm

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

Blind Estimation of Locations and Time Offsets for Distributed Recording Devices

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

Unsupervised Speaker Adaptation Using All-Phoneme Ergodic Hidden Markov Network

Shigeki Sagayama, Shoichi Matsunaga, Jun-ichi Takami, 1995, IEICE Trans. Inf. Syst..

Learning process of a neural network

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

Spoken Language Translation System

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

A method for generating a word model for speech recognition part

Shigeki Sagayama, Jun-ichi Takami, 1992 .

Context-free 2D Tree Structure Model of Musical Notes for Bayesian Modeling of Polyphonic Spectrograms

Hirokazu Kameoka, Masahiro Nakano, Shigeki Sagayama, 2012, ISMIR.

Bayesian Nonparametric Approach to Blind Separation of Infinitely Many Sparse Sources

Hirokazu Kameoka, Shigeki Sagayama, Nobutaka Ono, 2013, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Multi-pitch trajectory estimation of concurrent speech based on harmonic GMM and nonlinear kalman filtering

Hirokazu Kameoka, Shigeki Sagayama, Takuya Nishimoto, 2004, INTERSPEECH.

Suprasegmental duration control with matrix parsing in continuous speech recognition

Harald Singer, Shigeki Sagayama, 1993, Speech Commun..

A Voice Interface System with the Head Motion Sensor

Shigeki Sagayama, Takuya Nishimoto, Shigeki Okawa, 2007 .

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.

Piano Practice Evaluation and Visualization by HMM for Arbitrary Jumps and Mistakes

Shigeki Sagayama, Christoph M. Wilk, Matsuto Hori, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

Jazz piano trio synthesizing system based on HMM and DNN

Shigeki Sagayama, Takeshi Hori, Kazuyuki Nakamura, 2019 .

Speech recognition and synthesis technology development at NTT for telecommunications services

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

Harmony estimation from music signals using functional harmony model

Shigeki Sagayama, Nobutaka Ono, Yushi Ueda, 2010 .

A tandem connectionist model using combination of multi-scale spectro-temporal features for acoustic event detection

Masakiyo Fujimoto, Daisuke Saito, Shigeki Sagayama, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Assistance for Novice Users on Creating Songs from Japanese Lyrics

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

Vector-field-smoothed Bayesian learning for fast and incremental speaker/telephone-channel adaptation

Jun-ichi Takahashi, Shigeki Sagayama, 1997, Comput. Speech Lang..

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.

Multipitch Analysis with Harmonic Nonnegative Matrix Approximation

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

Speaker adaptation of acoustic models using correlations of training transfer vectors

Satoshi Takahashi, Shigeki Sagayama, 2000 .

Pitch dependent phone modelling for HMM based speech recognition

Harald Singer, Shigeki Sagayama, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Online Handwritten Kanji Recognition Based on Inter-stroke Grammar

Ryo Yamamoto, Shigeki Sagayama, Shinji Sako, 2007 .

Auxiliary function approach to parameter estimation of constrained sinusoidal model for monaural speech separation

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

Online Handwriting Interface for the Visually Impaired to Access Wearable Computing

Shigeki Sagayama, Sukeyasu Kanno, Hiroshi Shimodaira, 2003 .

Lexical Tones Learning with Automatic Music Composition System Considering Prosody of Mandarin Chinese

Satoru Fukayama, Shigeki Sagayama, Takuya Nishimoto, 2010 .

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

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

Reverberant Speech Recognition Based on Acoustic Model Conversion

Shigeki Sagayama, Takuya Nishimoto, Takeya Saikachi, 2005 .

Asynchronous-Transition HMM for Acoustic Modeling

Shigeki Sagayama, S. Sagayama, 2000 .

Harmony and Voicing Interpolation for Automatic Music Composition Assistance

Shigeki Sagayama, Christoph M. Wilk, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Line spectrum pair frequency - based distance measures for speech recognition

Sadaoki Furui, Shigeki Sagayama, Fikret S. Gürgen, 1990, ICSLP.

Speech processing technologies and telecommunications applications at NTT

Sadaoki Furui, Shigeki Sagayama, Tomohisa Hirokawa, 1994, Proceedings of 2nd IEEE Workshop on Interactive Voice Technology for Telecommunications Applications.

Multipitch estimation by joint modeling of harmonic and transient sounds

Jun Wu, Emmanuel Vincent, Shigeki Sagayama, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Spectrogram consistency and its application to phase reconstruction

Hirokazu Kameoka, Shigeki Sagayama, Nobutaka Ono, 2009 .

Continuous mixture HMM-LR using the a* algorithm for continuous speech recognition

Kenji Kita, Frank K. Soong, Shigeki Sagayama, 1992, ICSLP.

User-guided independent vector analysis with source activity tuning

Shigeki Sagayama, Nobutaka Ono, Takuma Ono, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Acoustic modeling using word contexts for spontaneous speech recognition

Koichi Shinoda, Shigeki Sagayama, Kenzo Isogawa, 2002 .

R-means localization: A simple iterative algorithm for range-difference-based source localization

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

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.

Online Handwriting Recognition Selecting Hierarchical Spatial Relationship of Subcharacters

Shigeki Sagayama, Hiroshi Shimodaira, Junko Tokuno, 2005 .

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

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

Concurrent Optimization of Context Clustering and GMM for Offline Handwritten Word Recognition Using HMM

Tomoyuki Hamamura, Bunpei Irie, Shigeki Sagayama, 2011, 2011 International Conference on Document Analysis and Recognition.

Multiple-regression hidden Markov model

Shigeki Sagayama, Katsuhisa Fujinaga, Hiroshi Shimodaira, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

The SSS-LR continuous speech recognition system: integrating SSS-derived allophone models and a phoneme-context-dependent LR parser

Shigeki Sagayama, Akito Nagai, Jun-ichi Takami, 1992, ICSLP.

Telephone line characteristic adaptation using vector field smoothing technique

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

Representation of Harmony Rules with Probabilistic Context-Free Grammar and Its Application to Automatic Harmony Analysis

Shigeki Sagayama, Takuya Nishimoto, Takeshi Morooka, 2008 .

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.

Evaluation of text-to-speech synthesizers at fast speaking rates

Takayuki Watanabe, Shigeki Sagayama, Koichi Oda, 2005 .

Polyphonic Voicing Optimization for Automatic Music Completion

Shigeki Sagayama, Christoph M. Wilk, 2019, 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Non-filter waveform generation from cepstrum using spectral phase reconstruction

Shigeki Sagayama, Nobutaka Ono, Yasuhiro Hamada, 2016, SSW.

Merged-Output HMM for Piano Fingering of Both Hands

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

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

Shigeki Sagayama, Takeshi Hori, Kazuyuki Nakamura, 2017 .

A Roadmap Towards Versatile MIR

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

Flexible Harmonic Temporal Structure for Modeling Musical Instrument

Jun Wu, Shigeki Sagayama, Nobutaka Ono, 2010, ICEC.

Minimax Viterbi Algorithm for HMM-Based Guitar Fingering Decision

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

On the use of scalar quantization for fast HMM computation

Satoshi Takahashi, Shigeki Sagayama, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

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.

A Stochastic Temporal Model of Polyphonic MIDI Performance with Ornaments

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

Phoneme recognition by pairwise discriminant TDNNs

Shigeki Sagayama, Jun-ichi Takami, 1990, ICSLP.

Hardware implementation of realtime 1000-word HMM-LR continuous speech recognition

Kenji Kita, Kiyohiro Shikano, Akira Kurematsu, 1992, ICSLP.

Dynamic Time-Alignment Kernel in Support Vector Machine

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

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.

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).

Spoken Sentence Recognition Based on HMM-LR with Hybrid Language Modeling (Special Issue on Natural Language Processing and Understanding)

Kenji Kita, Tsuyoshi Morimoto, Shigeki Sagayama, 1994 .

Probabilistic Approach to Automatic Music Transcription from Audio Signals

Hirokazu Kameoka, Shigeki Sagayama, Takuya Nishimoto, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Automatic Piano Reduction of Orchestral Music Based on Musical Entropy

You Li, Shigeki Sagayama, Takeshi Hori, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

Using Spectral Fluctuation of Speech in Multi-Feature HMM-Based Voice Activity Detection

Shigeki Sagayama, Nobutaka Ono, Takuya Nishimoto, 2011, INTERSPEECH.

DIFFERENTIAL APPROACH TO ACOUSTIC MODEL ADAPTATION

Shigeki Sagayama, 1999 .

Rhythm and Tempo Recognition of Music Performance from a Probabilistic Approach

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

Feature extraction using a matrix coefficient filter for speech recognition

Harald Singer, Shigeki Sagayama, Kiyoaki Aikawa, 1993, Speech Commun..

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..

An Operation Analysis of An Address Input System with Speech Recognition

Shigeki Sagayama, Osamu Yoshioka, Kazuhiro Arai, 1995 .

Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity

Rémi Gribonval, Emmanuel Vincent, Shigeki Sagayama, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Music and speech signal processing using harmonic-temporal clustering

Hirokazu Kameoka, Jonathan Le Roux, Alain de Cheveigné, 2008 .

Instrument Separation in Reverberant Environments Using Crystal Microphone Arrays

Nobutaka Ito, Shigeki Sagayama, Nobutaka Ono, 2009 .

Audio stream segregation of multi-pitch music signal based on time-space clustering using Gaussian kernel 2-dimensional model

Hirokazu Kameoka, Shigeki Sagayama, Takuya Nishimoto, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Composite Wavelet Model for Stability-Oriented Speech Synthesis from Cepstral Features

Shigeki Sagayama, Junya Koguchi, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Isolated word recognition using pitch pattern information

Satoshi Takahashi, Shigeki Sagayama, Shoichi Matsunaga, 1990, ICSLP.

Tree-structured speaker clustering for fast speaker adaptation

Tetsuo Kosaka, Shigeki Sagayama, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Stereo-input speech recognition using sparseness-based time-frequency masking in a reverberant environment

Shinji Watanabe, Shigeki Sagayama, Nobutaka Ono, 2009, INTERSPEECH.

Making On-Line Handwritten Mathematical Expression Database Using Stroke-Based Stochastic Context-Free Grammar

Ryo Yamamoto, Shigeki Sagayama, Shinji Sako, 2007 .

Stroke-Based Stochastic Context-Free Grammar for On-line Handwritten Mathematical Expression Recognition

Ryo Yamamoto, Shigeki Sagayama, Shinji Sako, 2006 .

An Efficient Parameter Tying Method for Offline Handwritten Word Recognition Using Context-Dependent HMMs

Tomoyuki Hamamura, Shigeki Sagayama, Nobutaka Ono, 2012 .

Tree-structured speaker clustering for speaker-independent continuous speech recognition

Tetsuo Kosaka, Shigeki Sagayama, Shoichi Matsunaga, 1994, ICSLP.

Minimum Classification Error Training to Improve Isolated Chord Recognition

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

Enhancement of ATR's spoken language translation system: SL-TRANS2

Masaaki Nagata, Akira Kurematsu, Tsuyoshi Morimoto, 1992, ICSLP.

Three Different LR Parsing Algorithms for Phoneme-Context-Dependent HMM-Based Continuous Speech Recognition (Special Issue on Speech and Discourse Processing in Dialogue Systems)

Kenji Kita, Hideaki Kikuchi, Shigeki Sagayama, 1993 .

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.

Generative modeling of speech F0 contours

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

Jacobian approach to fast acoustic model adaptation

Satoshi Takahashi, Jun-ichi Takahashi, Shigeki Sagayama, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

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.

Complex spectrum circle centroid for microphone-array-based noisy speech recognition

Shigeki Sagayama, Takuya Nishimoto, Yutaka Kamamoto, 2004, INTERSPEECH.

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

Emiru Tsunoo, Shigeki Sagayama, Nobutaka Ono, 2010, ISMIR.

MIREX 2010 : JOINT RECOGNITION OF KEY AND CHORD FROM MUSIC AUDIO SIGNALS USING KEY-MODULATION HMM

Shigeki Sagayama, Nobutaka Ono, Yushi Ueda, 2010 .