Keyword : acoustic model


Learning Speech Variability in Discriminative Acoustic Model Adaptation
Shoei SATO  Takahiro OKU  Shinichi HOMMA  Akio KOBAYASHI  Toru IMAI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2010/09/01
Vol. E93-D  No. 9  pp. 2370-2378
Type of Manuscript: Special Section PAPER (Special Section on Processing Natural Speech Variability for Improved Verbal Human-Computer Interaction)
Category: Adaptation
Keyword: 
speech recognitionspeech variabilitydiscriminative trainingacoustic model
  Summary |  Full Text:PDF (665.8KB)

Building an Effective Speech Corpus by Utilizing Statistical Multidimensional Scaling Method
Goshu NAGINO  Makoto SHOZAKAI  Tomoki TODA  Hiroshi SARUWATARI  Kiyohiro SHIKANO 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2008/03/01
Vol. E91-D  No. 3  pp. 607-614
Type of Manuscript: Special Section PAPER (Special Section on Robust Speech Processing in Realistic Environments)
Category: Corpus
Keyword: 
speech corpuscost effectivespeaker selectionacoustic modelstatistical MDS method
  Summary |  Full Text:PDF (376.7KB)

Acoustic Model Adaptation Using First-Order Linear Prediction for Reverberant Speech
Tetsuya TAKIGUCHI  Masafumi NISHIMURA  Yasuo ARIKI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2006/03/01
Vol. E89-D  No. 3  pp. 908-914
Type of Manuscript: Special Section PAPER (Special Section on Statistical Modeling for Speech Processing)
Category: Speech Recognition
Keyword: 
acoustic modelreverberant speechadaptationhands-free speech recognition
  Summary |  Full Text:PDF (553.3KB)

Genetic Algorithm Based Optimization of Partly-Hidden Markov Model Structure Using Discriminative Criterion
Tetsuji OGAWA  Tetsunori KOBAYASHI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2006/03/01
Vol. E89-D  No. 3  pp. 939-945
Type of Manuscript: Special Section PAPER (Special Section on Statistical Modeling for Speech Processing)
Category: Speech Recognition
Keyword: 
acoustic modelhidden Markov modelpartly-hidden Markov modelweighted likelihood-ratio maximization criteriongenetic algorithmlecture talk speech recognition
  Summary |  Full Text:PDF (604KB)

Using Hybrid HMM/BN Acoustic Models: Design and Implementation Issues
Konstantin MARKOV  Satoshi NAKAMURA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2006/03/01
Vol. E89-D  No. 3  pp. 981-988
Type of Manuscript: Special Section PAPER (Special Section on Statistical Modeling for Speech Processing)
Category: Speech Recognition
Keyword: 
HMM/BNacoustic modelBayesian network
  Summary |  Full Text:PDF (193.6KB)

Automatic Generation of Non-uniform and Context-Dependent HMMs Based on the Variational Bayesian Approach
Takatoshi JITSUHIRO  Satoshi NAKAMURA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2005/03/01
Vol. E88-D  No. 3  pp. 391-400
Type of Manuscript: Special Section PAPER (Special Section on Corpus-Based Speech Technologies)
Category: Feature Extraction and Acoustic Medelings
Keyword: 
speech recognitionacoustic modeltopology trainingSSS algorithmvariational Bayesian approach
  Summary |  Full Text:PDF (866.3KB)

Automatic Generation of Non-uniform HMM Topologies Based on the MDL Criterion
Takatoshi JITSUHIRO  Tomoko MATSUI  Satoshi NAKAMURA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2004/08/01
Vol. E87-D  No. 8  pp. 2121-2129
Type of Manuscript: PAPER
Category: Speech and Hearing
Keyword: 
speech recognitionacoustic modeltopology trainingMDL criterionSSS algorithm
  Summary |  Full Text:PDF (1.2MB)

A Survey on Automatic Speech Recognition
Seiichi NAKAGAWA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2002/03/01
Vol. E85-D  No. 3  pp. 465-486
Type of Manuscript: INVITED SURVEY PAPER
Category: Speech and Hearing
Keyword: 
speech recognitionacoustic modelHMMlanguage modelngram
  Summary |  Full Text:PDF (1.1MB)

Automatic Determination of the Number of Mixture Components for Continuous HMMs Based a Uniform Variance Criterion
Tetsuo KOSAKA  Shigeki SAGAYAMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 1995/06/20
Vol. E78-D  No. 6  pp. 642-647
Type of Manuscript: Special Section PAPER (Special Issue on Spoken Language Processing)
Category: 
Keyword: 
acoustic modelcontinuous mixture density HMMspeaker-independent speech recognitionmixture components
  Summary |  Full Text:PDF (473.3KB)