S. Nakagawa

S. Nakagawa, K. Markov, K. Hanai, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Title Some Properties of Japanese Sounds through PerceptualExperiments and Spectral Analysis

T. Sakai, S. Nakagawa, Studia Phonologica, 2018 .

LVCSR based on context-dependent syllable acoustic models (Speech) -- (国際ワークショップ"Asian workshop on speech science and technology")

Longbiao Wang, Seiichi Nakagawa, Jian Zhang, 2008 .

Translation from Indonesian to Japanese Using English as Pivot Language

S. Nakagawa, A. Purwarianti, Tsuchiya Masatoshi, 2005 .

Indonesian-English Cross Language Question Answering

S. Nakagawa, A. Purwarianti, M. Tsuchiya, 2007 .

A Confidence Measure based on Agreement among Multiple LVCSR Models : Combining Outputs of Multiple Models based on Confidence

Takehito Utsuro, Seiichi Nakagawa, Hiromitsu Nishizaki, 2002 .

Estimating high-confidence portions based on agreement among outputs of multiple LVCSR models

Takehito Utsuro, Seiichi Nakagawa, Hiromitsu Nishizaki, 2004, Systems and Computers in Japan.

Syllable Recognition by Hidden Markov Model Using Fixed-Length Segmental Statistics

Seiichi Nakagawa, Yoshiyuki Ono, Yoshimitsu Hirata, 1992 .

A Survey on Automatic Speech Recognition

Seiichi Nakagawa, S. Nakagawa, 2002 .

Topic-Dependent Language Model with Voting on Noun History

Masatoshi Tsuchiya, Seiichi Nakagawa, Welly Naptali, 2010, TALIP.

Topic dependent language model based on on-line voting (言語理解とコミュニケーション)

Masatoshi Tsuchiya, Seiichi Nakagawa, Welly Naptali, 2009 .

Speech analysis of sung-speech and lyric recognition in monophonic singing

Seiichi Nakagawa, Kazumasa Yamamoto, Dairoku Kawai, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust distant speaker recognition based on position-dependent CMN by combining speaker-specific GMM with speaker-adapted HMM

Longbiao Wang, Seiichi Nakagawa, Norihide Kitaoka, 2007, Speech Commun..

Robust Distant Speech Recognition by Combining Position-Dependent CMN with Conventional CMN

Longbiao Wang, Seiichi Nakagawa, Norihide Kitaoka, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Analysis of effect of compensation parameter estimation for CMN on speech/speaker recognition

Longbiao Wang, Seiichi Nakagawa, Norihide Kitaoka, 2007, 2007 9th International Symposium on Signal Processing and Its Applications.

Robust Distant Speech Recognition by Combining Multiple Microphone-Array Processing with Position-Dependent CMN

Longbiao Wang, Seiichi Nakagawa, Norihide Kitaoka, 2006, EURASIP J. Adv. Signal Process..

Robust Distant Speech Recognition Based on a Novel Multiple Microphone

N. Kitaoka, Longbiao Wang, S. Nakagawa, 2005 .

Robust distant speaker recognition based on position dependent cepstral mean normalization

Longbiao Wang, Seiichi Nakagawa, Norihide Kitaoka, 2005, INTERSPEECH.

Robust distant speech recognition based on position dependent CMN

Longbiao Wang, Norihide Kitaoka, Seiichi Nakagawa, 2004, INTERSPEECH.

Evaluation of Augmented Continuous DP Matching by Connected Spoken Digit Recognition Experiment

Seiichi Nakagawa, Tatsuji Ito, S. Nakagawa, 1988 .

A connected spoken word recognition algorithm by augmented continuous DP matching

Seiichi Nakagawa, S. Nakagawa, 1985, Systems and Computers in Japan.

Connected spoken word recognition algorithms by constant time delay DP, O(n) DP and augmented continuous DP matching

Seiichi Nakagawa, S. Nakagawa, 1984, Inf. Sci..

A Recognition Method of Connected Spoken Words With Syntactical Constraints by Augmented Continuous DP Algorithm

Seiichi Nakagawa, S. Nakagawa, 1983, IJCAI.

Privacy Protection for Speech Information

Seiichi Nakagawa, Kazumasa Yamamoto, Kazumasa Yamamoto, 2009, 2009 Fifth International Conference on Information Assurance and Security.

Combination of syllable based N-gram search and word search for spoken term detection through spoken queries and IV/OOV classification

Seiichi Nakagawa, Kazumasa Yamamoto, Nagisa Sakamoto, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Summarization of Spoken Lectures Based on MMR Method and Important/Unimportant Sentence Classification Using BERT

Kazumasa Yamamoto, S. Nakagawa, Kento Masuda, 2022, 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE).

Language Model Based on Word Order Sensitive Matrix Representation in Latent Semantic Analysis for Speech Recognition

Masatoshi Tsuchiya, Seiichi Nakagawa, Welly Naptali, 2009, 2009 WRI World Congress on Computer Science and Information Engineering.

Context dependent class language model based on word co-occurrence matrix in LSA framework for speech recognition

Masatoshi Tsuchiya, Seiichi Nakagawa, Welly Naptali, 2008 .

Continuous speech recognition using segmental unit input HMMs with a mixture of probability density functions and context dependency

Nobuaki Minematsu, Seiichi Nakagawa, Kazumasa Yamamoto, 1998, ICSLP.

Evaluation of segmental unit input HMM

Seiichi Nakagawa, Kazumasa Yamamoto, Kazumasa Yamamoto, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Dimensionality reduction of dynamical patterns using a neural network

Y. Ono, Y. Hirata, S. Nakagawa, 1991, Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop.

Text-independent speaker recognition using non-linear frame likelihood transformation

Seiichi Nakagawa, Konstantin Markov, S. Nakagawa, 1998, Speech Commun..

Learning affective representations based on magnitude and dynamic relative phase information for speech emotion recognition

Jianwu Dang, Chng Eng Siong, Seiichi Nakagawa, 2021, Speech Commun..

Generation of natural response timing using decision tree based on prosodic and linguistic information

Seiichi Nakagawa, Masashi Takeuchi, Norihide Kitaoka, 2003, INTERSPEECH.

DNN-Based Amplitude and Phase Feature Enhancement for Noise Robust Speaker Identification

Longbiao Wang, Xiong Xiao, Masahiro Iwahashi, 2016, INTERSPEECH.

A Semantic Interpreter and a Cooperative Response Generator for a Robust Spoken Dialogue System

Toshihiko Itoh, Seiichi Nakagawa, Satoru Kogure, 2000, Int. J. Pattern Recognit. Artif. Intell..

Usability of Browser-Based Pen-Touch/Speech User Interfaces for Form-Based Application in Mobile Environment

Atsuhiko Kai, Seiichi Nakagawa, Takahiro Nakano, 2000, ICMI.

Single-channel dereverberation by feature mapping using cascade neural networks for robust distant speaker identification and speech recognition

Kazumasa Yamamoto, S. Nakagawa, Aditya Arie Nugraha, 2014, EURASIP Journal on Audio, Speech, and Music Processing.

Distant-Talking Speech Recognition Based on Spectral Subtraction by Multi-Channel LMS Algorithm

Longbiao Wang, Seiichi Nakagawa, Norihide Kitaoka, 2011, IEICE Trans. Inf. Syst..

Noise robust voice activity detection using joint phase and magnitude based feature enhancement

Longbiao Wang, Masahiro Iwahashi, Weifeng Li, 2017, J. Ambient Intell. Humaniz. Comput..

Noise robust voice activity detection using joint phase and magnitude based feature enhancement

Longbiao Wang, S. Nakagawa, M. Iwahashi, 2017, Journal of Ambient Intelligence and Humanized Computing.

Blind dereverberation based on CMN and spectral subtraction by multi-channel LMS algorithm

Longbiao Wang, Seiichi Nakagawa, Norihide Kitaoka, 2008, INTERSPEECH.

Single channel dereverberation method in log-melspectral domain using limited stereo data for distant speaker identification

Seiichi Nakagawa, Aditya Nugraha, Kazumasa Yamamoto, 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

Automatic estimation of position and orientation of an acoustic source by a microphone array network.

Seiichi Nakagawa, Kazumasa Yamamoto, Alberto Yoshihiro Nakano, 2009, The Journal of the Acoustical Society of America.

Speaker Identification and Verification by Combining MFCC and Phase Information

Longbiao Wang, Seiichi Nakagawa, Shinji Ohtsuka, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Speaker identification by combining MFCC and phase information in noisy environments

Longbiao Wang, Seiichi Nakagawa, Kazumasa Yamamoto, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Relative phase information for detecting human speech and spoofed speech

Longbiao Wang, Seiichi Nakagawa, Yohei Yoshida, 2015, INTERSPEECH.

Phase and reverberation aware DNN for distant-talking speech enhancement

Jianwu Dang, Longbiao Wang, Masahiro Iwahashi, 2018, Multimedia Tools and Applications.

Constructing Japanese test collections for spoken term detection

Tatsuya Kawahara, Yoshiaki Itoh, Seiichi Nakagawa, 2010, INTERSPEECH.

Chat-like Spoken Dialog System for a Multi-party Dialog Incorporating Two Agents and a User

Seiichi Nakagawa, Ryota Nishimura, Kazumasa Yamamoto, 2013 .

Automatic Explanation Spot Estimation Method Targeted at Text and Figures in Lecture Slides

Seiichi Nakagawa, Kazumasa Yamamoto, Shoko Tsujimura, 2017, INTERSPEECH.

Spoken language identification by ergodic HMMS and its state sequences

Seiichi Nakagawa, Takashi Seino, Yoshio Ueda, 1994 .

Speaker-Independent English Consonant and Japanese Word Recognition by a Stochastic Dynamic Time Warping Method

Seiichi Nakagawa, Hirobumi Nakanishi, S. Nakagawa, 1988 .

Speech recognition using hidden Markov models based on segmental statistics

Seiichi Nakagawa, Kazumasa Yamamoto, Kazumasa Yamamoto, 1997, Systems and Computers in Japan.

A deep neural network integrated with filterbank learning for speech recognition

Seiichi Nakagawa, Hiroshi Seki, Kazumasa Yamamoto, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Evaluating multiple LVCSR model combination in NTCIR-3 speech-driven web retrieval task

Takehito Utsuro, Seiichi Nakagawa, Hiromitsu Nishizaki, 2003, INTERSPEECH.

Development of English Speech Database Spoken by Japanese Learners

K. Yoshimoto, N. Minematsu, S. Makino, 2022 .

Comparison of syllable-based and phoneme-based DNN-HMM in Japanese speech recognition

Hiroshi Seki, Seiichi Nakagawa, Kazumasa Yamamoto, 2014, 2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA).

Replay attack detection with auditory filter-based relative phase features

Longbiao Wang, Masahiro Iwahashi, Seiichi Nakagawa, 2019, EURASIP J. Audio Speech Music. Process..

Integrating Cross-Lingually Relevant News Articles and Monolingual Web Documents in Bilingual Lexicon Acquisition

Satoshi Sato, Takehito Utsuro, Seiichi Nakagawa, 2004, COLING.

Estimating Bilingual Term Correspondences from Relevant Japanese-English News Articles

Takehito Utsuro, Seiichi Nakagawa, Takashi Horiuchi, 2005 .

Robust Extraction of Named Entity Including Unfamiliar Word

Masatoshi Tsuchiya, Seiichi Nakagawa, Shinya Hida, 2008, ACL.

Detection of overlapping acoustic events based on NMF with shared basis vectors

Seiichi Nakagawa, Kazumasa Yamamoto, Chikara Ishikawa, 2017, 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE).

A Machine Understanding System for Spoken Japanese Sentences

Sei-ichi Nakagawa, S. Nakagawa, 1977 .

Speaker-independent continuous-speech recognition by phoneme-based word spotting and time-synchronous context-free parsing☆

Seiichi Nakagawa, S. Nakagawa, 1989 .

The syntax-oriented speech understanding system - SPOJUS-SYNO

Seiichi Nakagawa, Yasuhide Hashimoto, Yoshihisa Ohguro, 1989, EUROSPEECH.

Large vocabulary speech recognition system: SPOJUS++

Seiichi Nakagawa, Kazumasa Yamamoto, Yasuhisa Fujii, 2011 .

Syntax/Semantics-Oriented Spoken-Japanese Understanding System

Seiichi Nakagawa, Isao Murase, Yoshimitsu Hirata, 1996 .

Consideration on Syntactic Analyses for a Speech Understanding System.

Seiichi Nakagawa, Yoshihisa Ohguro, S. Nakagawa, 1988 .

Integrating pitch and LPC-residual information with LPC-cepstrum for text-independent speaker recognition

Konstantin Markov, Seiichi Nakagawa, S. Nakagawa, 1999 .

Evaluation of Japanese manners of generating word accent of English based on a stressed syllable detection technique

Nobuaki Minematsu, Seiichi Nakagawa, Yukiko Fujisawa, 1998, ICSLP.

English Speech Database Read by Japanese Learners for CALL System Development

Nobuaki Minematsu, Shozo Makino, Seiichi Nakagawa, 2002, LREC.

Spoofing Speech Detection Using Modified Relative Phase Information

Longbiao Wang, Seiichi Nakagawa, Zhaofeng Zhang, 2017, IEEE Journal of Selected Topics in Signal Processing.

Evaluation of Privacy Protection Techniques for Speech Signals

Seiichi Nakagawa, Kazumasa Yamamoto, Kazumasa Yamamoto, 2010, IPMU.

English to Japanese spoken lecture translation system by using DNN-HMM and phrase-based SMT

Seiichi Nakagawa, Kazumasa Yamamoto, Norioki Goto, 2015, 2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA).

Confidence of agreement among multiple LVCSR models and model combination by SVM

Takehito Utsuro, Seiichi Nakagawa, Hiromitsu Nishizaki, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Speaker Identification and Verification by Combining MFCC and Phase Information

Longbiao Wang, Shinji Ohtsuka, S. Nakagawa, 2012, IEEE Transactions on Audio, Speech, and Language Processing.