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2020 – today
- 2024
[j25]Zongyao Feng, Konstantin Markov
, Junpei Saito, Tomoko Matsui:
Neural Cough Counter: A Novel Deep Learning Approach for Cough Detection and Monitoring. IEEE Access 12: 118816-118829 (2024)- [c87]Vu D. Tran, Tomoko Matsui:
Improving LLM Prompting with Ensemble of Instructions: A Case Study on Sentiment Analysis. JSAI-isAI 2024: 299-305 - [i4]Aleksandar Arandjelovic, Pavel V. Shevchenko, Tomoko Matsui, Daisuke Murakami, Tor André Myrvoll:
Solving stochastic climate-economy models: A deep least-squares Monte Carlo approach. CoRR abs/2408.09642 (2024) - 2023
- [j24]Iwao Tanuma, Tomoko Matsui:
Rating Proportion-Aware Binomial Matrix Factorization for Collaborative Filtering. IEEE Access 11: 85097-85107 (2023) - [c86]Vu D. Tran, Tomoko Matsui:
Public Opinion Mining Using Large Language Models on COVID-19 Related Tweets. KSE 2023: 1-6 - [c85]Tomoko Matsui:
Data-Driven Framework for Uncovering Hidden Control Strategies in Evolutionary Analysis. RIVF 2023: xxiv - 2022
- [j23]Iwao Tanuma, Tomoko Matsui:
Variational Autoencoder-Based Hybrid Recommendation With Poisson Factorization for Modeling Implicit Feedback. IEEE Access 10: 60696-60706 (2022) - [c84]Yuka Hashimoto, Zhao Wang, Tomoko Matsui:
C*-algebra Net: A New Approach Generalizing Neural Network Parameters to C*-algebra. ICML 2022: 8523-8534 - [i3]Yuka Hashimoto, Zhao Wang, Tomoko Matsui:
C*-algebra Net: A New Approach Generalizing Neural Network Parameters to C*-algebra. CoRR abs/2206.09513 (2022) - 2021
- [j22]Daisuke Murakami, Gareth W. Peters, Tomoko Matsui, Yoshiki Yamagata:
Spatio-Temporal Analysis of Urban Heatwaves Using Tukey g-and-h Random Field Models. IEEE Access 9: 79869-79888 (2021) - [j21]Marta Campi, Gareth W. Peters, Nourddine Azzaoui, Tomoko Matsui:
Machine Learning Mitigants for Speech Based Cyber Risk. IEEE Access 9: 136831-136860 (2021) - [j20]Gareth W. Peters, Ido Nevat, Sai Ganesh Nagarajan, Tomoko Matsui:
Spatial Warped Gaussian Processes: Estimation and Efficient Field Reconstruction. Entropy 23(10): 1323 (2021) - [c83]Tatsuya Komatsu, Tomoko Matsui, Junbin Gao:
Multi-Source Domain Adaptation with Sinkhorn Barycenter. EUSIPCO 2021: 1371-1375 - [i2]Vu D. Tran, Tomoko Matsui:
Tweet Analysis for Enhancement of COVID-19 Epidemic Simulation: A Case Study in Japan. CoRR abs/2111.10404 (2021)
2010 – 2019
- 2019
- [j19]Jianguo Yu, Konstantin Markov, Tomoko Matsui:
Articulatory and Spectrum Information Fusion Based on Deep Recurrent Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 27(4): 742-752 (2019) - [c82]Akira Tamamori, Tomoko Matsui:
A sequential prediction method of quasi-periodicity based on Gaussian process state space model. APSIPA 2019: 255-261 - [c81]François Septier, Tomoko Matsui:
A Robust High-Dimensional Bayesian Filter: THE Stochastic GH-GEnKF. CAMSAP 2019: 614-618 - [c80]Daisuke Murakami, Yoshiki Yamagata, Takahiro Yoshida, Tomoko Matsui:
Spatiotemporal Heatwave Risk Modeling Combining Multiple Observations. IGARSS 2019: 5516-5519 - [c79]Daisuke Murakami, Tomoko Matsui, Takahiro Yoshida, Yoshiki Yamagata:
A Gps-Based Simple Evaluation Simulation Approach: Case Study in Joso, Japan. IGARSS 2019: 5636-5637 - 2018
- [c78]Sayaka Shiota, Shinnosuke Takamichi, Tomoko Matsui:
Data augmentation with moment-matching networks for i-vector based speaker verification. APSIPA 2018: 345-349 - 2017
- [c77]Misaki Tsujikawa, Tsuyoki Nishikawa, Tomoko Matsui:
I-vector-based speaker identification with extremely short utterances for both training and testing. GCCE 2017: 1-4 - [c76]Matthew Ames, Guillaume Bagnarosa, Gareth W. Peters, Pavel V. Shevchenko, Tomoko Matsui:
Forecasting covariance for optimal carry trade portfolio allocations. ICASSP 2017: 5910-5914 - [c75]Tor André Myrvoll, Jan Erik Håkegård, Tomoko Matsui, François Septier:
Counting public transport passenger using WiFi signatures of mobile devices. ITSC 2017: 1-6 - [e1]Naonori Ueda, Shinji Watanabe, Tomoko Matsui, Jen-Tzung Chien, Jan Larsen:
27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017. IEEE 2017, ISBN 978-1-5090-6341-3 [contents] - 2016
- [j18]Daisuke Murakami, Gareth W. Peters, Yoshiki Yamagata, Tomoko Matsui:
Participatory Sensing Data Tweets for Micro-Urban Real-Time Resiliency Monitoring and Risk Management. IEEE Access 4: 347-372 (2016) - [c74]Konstantin Markov, Tomoko Matsui:
Robust Speech Recognition Using Generalized Distillation Framework. INTERSPEECH 2016: 2364-2368 - [c73]Jianguo Yu, Konstantin Markov, Tomoko Matsui:
Articulatory and spectrum features integration using generalized distillation framework. MLSP 2016: 1-6 - [c72]Sayaka Shiota, Fernando Villavicencio, Junichi Yamagishi, Nobutaka Ono, Isao Echizen, Tomoko Matsui:
Voice Liveness Detection for Speaker Verification based on a Tandem Single/Double-channel Pop Noise Detector. Odyssey 2016: 259-263 - 2015
- [j17]Ido Nevat, Gareth W. Peters, François Septier, Tomoko Matsui:
Estimation of Spatially Correlated Random Fields in Heterogeneous Wireless Sensor Networks. IEEE Trans. Signal Process. 63(10): 2597-2609 (2015) - [c71]Konstantin Markov, Tomoko Matsui, François Septier, Gareth W. Peters:
Dynamic speech emotion recognition with state-space models. EUSIPCO 2015: 2077-2081 - [c70]Ido Nevat, Gareth W. Peters, François Septier, Tomoko Matsui:
Wind storm estimation using a heterogeneous sensor network with high and low resolution sensors. ICC 2015: 4865-4870 - [c69]Sayaka Shiota, Fernando Villavicencio, Junichi Yamagishi, Nobutaka Ono, Isao Echizen, Tomoko Matsui:
Voice liveness detection algorithms based on pop noise caused by human breath for automatic speaker verification. INTERSPEECH 2015: 239-243 - [c68]Konstantin Markov, Tomoko Matsui:
Dynamic Music Emotion Recognition Using Kernel Bayes' Filter. MediaEval 2015 - [c67]Takato Goto, Yasushi Hanatsuka, Tomoyuki Higuchi, Tomoko Matsui:
Road condition classification using a new global alignment kernel. MLSP 2015: 1-6 - 2014
- [j16]Konstantin Markov, Tomoko Matsui:
Music Genre and Emotion Recognition Using Gaussian Processes. IEEE Access 2: 688-697 (2014) - [c66]Gareth W. Peters, Tor André Myrvoll, Tomoko Matsui, Ido Nevat, François Septier:
Communications meets copula modeling: Non-standard dependence features in wireless fading channels. GlobalSIP 2014: 1224-1228 - [c65]Gareth W. Peters, Ido Nevat, Shaowei Lin, Tomoko Matsui:
Modelling threshold exceedence levels for spatial stochastic processes observed by sensor networks. ISSNIP 2014: 1-7 - [c64]Konstantin Markov, Tomoko Matsui:
Dynamic Music Emotion Recognition Using State-Space Models. MediaEval 2014 - 2013
- [j15]Konstantin Markov, Tomoko Matsui:
High level feature extraction for the self-taught learning algorithm. EURASIP J. Audio Speech Music. Process. 2013: 6 (2013) - [j14]Hiromitsu Nishizaki, Tomoyosi Akiba, Kiyoaki Aikawa, Tatsuya Kawahara, Tomoko Matsui:
Evaluation Framework Design of Spoken Term Detection Study at the NTCIR-9 IR for Spoken Documents Task. Inf. Media Technol. 8(1): 59-80 (2013) - [j13]Rafael Torres, Hiromichi Kawanami, Tomoko Matsui, Hiroshi Saruwatari, Kiyohiro Shikano:
Comparison of Methods for Topic Classification of Spoken Inquiries. Inf. Media Technol. 8(2): 438-448 (2013) - [c63]Tatsuya Komatsu, Takanori Nishino, Gareth W. Peters, Tomoko Matsui, Kazuya Takeda:
Modeling head-related transfer functions via spatial-temporal Gaussian process. ICASSP 2013: 301-305 - [c62]Yasunori Ohishi, Daichi Mochihashi, Tomoko Matsui, Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino:
Bayesian semi-supervised audio event transcription based on Markov indian buffet process. ICASSP 2013: 3163-3167 - [c61]Konstantin Markov, Motofumi Iwata, Tomoko Matsui:
Music Emotion Recognition using Gaussian Processes. MediaEval 2013 - [c60]Konstantin Markov, Tomoko Matsui:
Music genre classification using Gaussian Process models. MLSP 2013: 1-6 - 2012
- [c59]Tagiru Nakamura, Tomoko Matsui, Akira Utsumi, Mika Yamazaki, Kai Makita, Hiroki C. Tanabe, Norihiro Sadato:
The Role of the Amygdala in the Process of Humour Appreciation. CogSci 2012 - [c58]Masato Ohba, Noburo Saji, Mutsumi Imai, Tomoko Matsui:
Developmental Adjustment of Iconic Language in Care-Takers' Input. CogSci 2012 - [c57]Konstantin Markov, Tomoko Matsui:
Music genre classification using self-taught learning via sparse coding. ICASSP 2012: 1929-1932 - [c56]Haruka Majima, Rafael Torres, Yoko Fujita, Hiromichi Kawanami, Tomoko Matsui, Hiroshi Saruwatari, Kiyohiro Shikano:
Spoken Inquiry Discrimination Using Bag-of-Words for Speech-Oriented Guidance System. INTERSPEECH 2012: 2097-2100 - [c55]Rafael Torres, Hiromichi Kawanami, Tomoko Matsui, Hiroshi Saruwatari, Kiyohiro Shikano:
Topic Classification of Spoken Inquiries Using Transductive Support Vector Machine. IWSDS 2012: 261-267 - [c54]Haruka Majima, Rafael Torres, Hiromichi Kawanami, Sunao Hara, Tomoko Matsui, Hiroshi Saruwatari, Kiyohiro Shikano:
Evaluation of Invalid Input Discrimination Using Bag-of-Words for Speech-Oriented Guidance System. IWSDS 2012: 389-397 - [c53]Tomoyosi Akiba, Hiromitsu Nishizaki, Kiyoaki Aikawa, Tatsuya Kawahara, Tomoko Matsui:
Designing an Evaluation Framework for Spoken Term Detection and Spoken Document Retrieval at the NTCIR-9 SpokenDoc Task. LREC 2012: 3527-3534 - [c52]Konstantin Markov, Tomoko Matsui:
Nonnegative matrix factorization based self-taught learning with application to music genre classification. MLSP 2012: 1-5 - 2011
- [c51]Tomoko Matsui, Masataka Goto, Jean-Philippe Vert, Yuji Uchiyama:
Gradient-based musical feature extraction based on scale-invariant feature transform. EUSIPCO 2011: 724-728 - [c50]Toshiya Yamada, Noboru Nakamichi, Tomoko Matsui:
Extraction of User Interaction Patterns for Low-Usability Web Pages. HCI (16) 2011: 144-152 - [c49]Tomoyosi Akiba, Hiromitsu Nishizaki, Kiyoaki Aikawa, Tatsuya Kawahara, Tomoko Matsui:
Overview of the IR for Spoken Documents Task in NTCIR-9 Workshop. NTCIR 2011 - 2010
- [j12]Makoto Yamada, Masashi Sugiyama, Tomoko Matsui:
Semi-supervised speaker identification under covariate shift. Signal Process. 90(8): 2353-2361 (2010) - [j11]Øystein Birkenes, Tomoko Matsui, Kunio Tanabe, Sabato Marco Siniscalchi, Tor André Myrvoll, Magne Hallstein Johnsen:
Penalized Logistic Regression With HMM Log-Likelihood Regressors for Speech Recognition. IEEE Trans. Speech Audio Process. 18(6): 1440-1454 (2010) - [c48]Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Tomoko Matsui:
Acceleration of sequence kernel computation for real-time speaker identification. ICASSP 2010: 1626-1629 - [c47]Yoshiaki Itoh, Hiromitsu Nishizaki, Xinhui Hu, Hiroaki Nanjo, Tomoyosi Akiba, Tatsuya Kawahara, Seiichi Nakagawa, Tomoko Matsui, Yoichi Yamashita, Kiyoaki Aikawa:
Constructing Japanese test collections for spoken term detection. INTERSPEECH 2010: 677-680 - [c46]Rafael Torres, Shota Takeuchi, Hiromichi Kawanami, Tomoko Matsui, Hiroshi Saruwatari, Kiyohiro Shikano:
Comparison of methods for topic classification in a speech-oriented guidance system. INTERSPEECH 2010: 1261-1264
2000 – 2009
- 2009
- [c45]Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh, Yuji Uchiyama:
High-level feature extraction using SVM with walk-based graph kernel. ICASSP 2009: 1121-1124 - [c44]Makoto Yamada, Masashi Sugiyama, Tomoko Matsui:
Covariate shift adaptation for semi-supervised speaker identification. ICASSP 2009: 1661-1664 - [c43]Tomoko Matsui, Shinichi Satoh, Yuji Uchiyama:
ISM TRECVID2009 High-level Feature Extraction. TRECVID 2009 - 2008
- [c42]Hideki Okamoto, Tomoko Matsui, Hiromichi Kawanami, Hiroshi Saruwatari, Kiyohiro Shikano:
Speaker verification with non-audible murmur segments by combining global alignment kernel and penalized logistic regression machine. INTERSPEECH 2008: 1369-1372 - [c41]Kimiko Yamakawa, Tomoko Matsui, Shuichi Itahashi:
MDS-based visualization method for multiple speech corpora. INTERSPEECH 2008: 1666-1669 - [c40]Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh, Yuji Uchiyama:
ISM TRECVID2008 High-level Feature Extraction. TRECVID 2008 - 2007
- [j10]Ian R. Lane, Tatsuya Kawahara, Tomoko Matsui, Satoshi Nakamura:
Out-of-Domain Utterance Detection Using Classification Confidences of Multiple Topics. IEEE Trans. Speech Audio Process. 15(1): 150-161 (2007) - [c39]Marco Cuturi, Jean-Philippe Vert, Øystein Birkenes, Tomoko Matsui:
A Kernel for Time Series Based on Global Alignments. ICASSP (2) 2007: 413-416 - [c38]Øystein Birkenes, Tomoko Matsui, Kunio Tanabe, Tor André Myrvoll:
N-Best Rescoring for Speech Recognition using Penalized Logistic Regression Machines with Garbage Class. ICASSP (4) 2007: 449-452 - [c37]Hideki Okamoto, Mariko Kojima, Tomoko Matsui, Hiromichi Kawanami, Hiroshi Saruwatari, Kiyohiro Shikano:
Study on speaker verification with non-audible murmur segments. INTERSPEECH 2007: 2017-2020 - [c36]Duy-Dinh Le, Shin'ichi Satoh, Tomoko Matsui:
NII-ISM, Japan at TRECVID 2007: High Level Feature Extraction. TRECVID 2007 - 2006
- [j9]Tomoko Matsui, Kunio Tanabe:
Comparative Study of Speaker Identification Methods: dPLRM, SVM and GMM. IEICE Trans. Inf. Syst. 89-D(3): 1066-1073 (2006) - [c35]Øystein Birkenes, Tomoko Matsui, Kunio Tanabe:
Isolated-Word Recognition with Penalized Logistic Regression Machines. ICASSP (1) 2006: 405-408 - [c34]Mariko Kojima, Tomoko Matsui, Hiromichi Kawanami, Hiroshi Saruwatari, Kiyohiro Shikano:
Speaker verification with non-audible murmur segments. INTERSPEECH 2006 - [c33]Tor André Myrvoll, Tomoko Matsui:
On a greedy learning algorithm for dPLRM with applications to phonetic feature detection. INTERSPEECH 2006 - [c32]Masaki Naito, Kazunori Matsumoto, Masami Shishibori, Kenji Kita, Marco Cuturi, Tomoko Matsui, Shin'ichi Satoh, Keiichiro Hoashi, Fumiaki Sugaya, Yasuyuki Nakajima:
Shot Boundary Detection and High-Level Feature Extraction Experiments for TRECVID 2006. TRECVID 2006 - [i1]Marco Cuturi, Jean-Philippe Vert, Øystein Birkenes, Tomoko Matsui:
A kernel for time series based on global alignments. CoRR abs/cs/0610033 (2006) - 2005
- [j8]Ian R. Lane, Tatsuya Kawahara, Tomoko Matsui, Satoshi Nakamura:
Dialogue Speech Recognition by Combining Hierarchical Topic Classification and Language Model Switching. IEICE Trans. Inf. Syst. 88-D(3): 446-454 (2005) - [j7]Tomoko Matsui, Frank K. Soong, Biing-Hwang Juang:
Verification of Multi-Class Recognition Decision: A Classification Approach. IEICE Trans. Inf. Syst. 88-D(3): 455-462 (2005) - [c31]Arnaud Doucet, Stéphane Sénécal, Tomoko Matsui:
Space alternating data augmentation: application to finite mixture of Gaussians and speaker recognition. ICASSP (4) 2005: 713-716 - [c30]Tomoko Matsui, Kunio Tanabe:
dPLRM-based speaker identification with log power spectrum. INTERSPEECH 2005: 2017-2020 - 2004
- [j6]Takatoshi Jitsuhiro, Tomoko Matsui, Satoshi Nakamura:
Automatic Generation of Non-uniform HMM Topologies Based on the MDL Criterion. IEICE Trans. Inf. Syst. 87-D(8): 2121-2129 (2004) - [c29]Ian R. Lane, Tatsuya Kawahara, Tomoko Matsui, Satoshi Nakamura:
Out-of-domain detection based on confidence measures from multiple topic classification. ICASSP (1) 2004: 757-760 - [c28]Tomoko Matsui, Kunio Tanabe:
Probabilistic speaker identification with dual penalized logistic regression machine. INTERSPEECH 2004: 1797-1800 - [c27]Tatsuya Kawahara, Ian Richard Lane, Tomoko Matsui, Satoshi Nakamura:
Topic classification and verification modeling for out-of-domain utterance detection. INTERSPEECH 2004: 2197-2200 - [c26]Tomoko Matsui, Kunio Tanabe:
Speaker identification with dual penalized logistic regression machine. Odyssey 2004: 363-368 - 2003
- [c25]Ian R. Lane, Tatsuya Kawahara, Tomoko Matsui:
Language model switching based on topic detection for dialog speech recognition. ICASSP (1) 2003: 616-619 - [c24]Ian R. Lane, Tatsuya Kawahara, Tomoko Matsui, Satoshi Nakamura:
Hierarchical topic classification for dialog speech recognition based on language model switching. INTERSPEECH 2003: 429-432 - [c23]Takatoshi Jitsuhiro, Tomoko Matsui, Satoshi Nakamura:
Automatic generation of non-uniform context-dependent HMM topologies based on the MDL criterion. INTERSPEECH 2003: 2721-2724 - 2002
- [c22]Tomoko Matsui, Frank K. Soong, Biing-Hwang Juang:
Classifier design for verification of multi-class recognition decision. ICASSP 2002: 117-120 - 2001
- [c21]Tomoko Matsui:
Experimental Pragmatics: Towards Testing Relevance-Based Predictions about Anaphoric Bridging Inferences. CONTEXT 2001: 248-260 - [c20]Kozo Okuda, Tomoko Matsui, Satoshi Nakamura:
Towards the creation of acoustic models for stressed Japanese speech. INTERSPEECH 2001: 1653-1656 - 2000
- [c19]Tomoko Matsui, Masaki Naito, Yoshinori Sagisaka, Kozo Okuda, Satoshi Nakamura:
Analysis of acoustic models trained on a large-scale Japanese speech database. INTERSPEECH 2000: 503-506
1990 – 1999
- 1999
- [j5]Tomoko Matsui, Takashi Nishitani, Sadaoki Furui:
A study of models and a priori threshold updating in speaker verification. Syst. Comput. Jpn. 30(13): 96-105 (1999) - [c18]Tomoko Matsui:
On the Role of Context in Relevance-Based Accessibility Ranking of Candidate Referents. CONTEXT 1999: 228-241 - [c17]Tomoko Matsui, Masaki Naito, Harald Singer, Atsushi Nakamura, Yoshinori Sagisaka:
Japanese spontaneous speech database with wide regional and age distribution. EUROSPEECH 1999 - [c16]Atsushi Nakamura, Tomoko Matsui:
Acoustic modeling based on a generalized laplacian distribution. EUROSPEECH 1999 - 1998
- [j4]Tomoko Matsui, Sadaoki Furui:
N-Best-based unsupervised speaker adaptation for speech recognition. Comput. Speech Lang. 12(1): 41-50 (1998) - [c15]Tomoko Matsui, Kiyoaki Aikawa:
Robust model for speaker verification against session-dependent utterance variation. ICASSP 1998: 117-120 - [c14]Tomoko Matsui, Kiyoaki Aikawa:
Robust speaker verification insensitive to session-dependent utterance variation and handset-dependent distortion. ICSLP 1998 - 1997
- [c13]Tomoko Matsui, Tatsuo Matsuoka, Sadaoki Furui:
Smoothed N-best-based speaker adaptation for speech recognition. ICASSP 1997: 1015-1018 - 1996
- [j3]Tomoko Matsui, Tomohito Kanno, Sadaoki Furui:
Speaker recognition using HMM composition in noisy environments. Comput. Speech Lang. 10(2): 107-116 (1996) - [c12]Tomoko Matsui, Takashi Nishitani, Sadaoki Furui:
Robust methods of updating model and a priori threshold in speaker verification. ICASSP 1996: 97-100 - [c11]Tomoko Matsui, Sadaoki Furui:
N-best-based instantaneous speaker adaptation method for speech recognition. ICSLP 1996: 973-976 - 1995
- [j2]Tomoko Matsui, Sadaoki Furui:
Likelihood normalization for speaker verification using a phoneme- and speaker-independent model. Speech Commun. 17(1-2): 109-116 (1995) - [c10]Tomoko Matsui, Sadaoki Furui:
A study of speaker adaptation based on minimum classification error training. EUROSPEECH 1995: 81-84 - [c9]Tomoko Matsui, Tomohito Kanno, Sadaoki Furui:
Speaker recognition using HMM composition in noisy environments. EUROSPEECH 1995: 621-624 - 1994
- [j1]Tomoko Matsui, Sadaoki Furui:
Comparison of text-independent speaker recognition methods using VQ-distortion and discrete/continuous HMM's. IEEE Trans. Speech Audio Process. 2(3): 456-459 (1994) - [c8]Tomoko Matsui, Sadaoki Furui:
Speaker adaptation of tied-mixture-based phoneme models for text-prompted speaker recognition. ICASSP (1) 1994: 125-128 - [c7]Chintana Griffin, Tomoko Matsui, Sakaoki Furui:
Distance measures for text-independent speaker recognition based on MAR model. ICASSP (1) 1994: 309-312 - [c6]Sadaoki Furui, Tomoko Matsui:
Phoneme-level voice individuality used in speaker recognition. ICSLP 1994: 1463-1466 - 1993
- [c5]Tomoko Matsui, Sadaoki Furui:
Concatenated phoneme models for text-variable speaker recognition. ICASSP (2) 1993: 391-394 - 1992
- [c4]Tomoko Matsui, Sadaoki Furui:
Comparison of text-independent speaker recognition methods using VQ-distortion and discrete/continuous HMMs. ICASSP 1992: 157-160 - [c3]Tomoko Matsui, Sadaoki Furui:
Speaker recognition using concatenated phoneme models. ICSLP 1992: 603-606 - 1991
- [c2]Tomoko Matsui, Sadaoki Furui:
A text-independent speaker recognition method robust against utterance variations. ICASSP 1991: 377-380 - 1990
- [c1]Tomoko Matsui, Sadaoki Furui:
Text-independent speaker recognition using vocal tract and pitch information. ICSLP 1990: 137-140
Coauthor Index
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