State-Dependent Phonetic Tied Mixtures With Pronunciation Modeling for Spontaneous Speech Recognition

Y. Liu; P. Fung

doi:10.1109/tsa.2004.828638

State-Dependent Phonetic Tied Mixtures With Pronunciation Modeling for Spontaneous Speech Recognition

IEEE Transactions on Speech and Audio Processing ◽

10.1109/tsa.2004.828638 ◽

2004 ◽

Vol 12 (4) ◽

pp. 351-364 ◽

Cited By ~ 12

Author(s):

Y. Liu ◽

P. Fung

Keyword(s):

Speech Recognition ◽

Spontaneous Speech ◽

Pronunciation Modeling ◽

State Dependent

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Pronunciation Modeling for Spontaneous Speech Recognition using Latent Pronunciation Analysis (LPA) and Prior Knowledge

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 ◽

10.1109/icassp.2007.367002 ◽

2007 ◽

Author(s):

Che-Kuang Lin ◽

Lin-Shan Lee

Keyword(s):

Speech Recognition ◽

Prior Knowledge ◽

Spontaneous Speech ◽

Pronunciation Modeling

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Use of Global and Acoustic Features Associated with Contextual Factors to Adapt Language Models for Spontaneous Speech Recognition

10.21437/interspeech.2017-717 ◽

2017 ◽

Cited By ~ 3

Author(s):

Shohei Toyama ◽

Daisuke Saito ◽

Nobuaki Minematsu

Keyword(s):

Speech Recognition ◽

Contextual Factors ◽

Spontaneous Speech ◽

Language Models ◽

Acoustic Features

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Feature-based pronunciation modeling for speech recognition

Proceedings of HLT-NAACL 2004: Short Papers on XX - HLT-NAACL '04 ◽

10.3115/1613984.1614005 ◽

2004 ◽

Cited By ~ 13

Author(s):

Karen Livescu ◽

James Glass

Keyword(s):

Speech Recognition ◽

Pronunciation Modeling ◽

Feature Based

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Using the focus of visual attention to improve spontaneous speech recognition

10.21437/interspeech.2005-371 ◽

2005 ◽

Author(s):

Neil Cooke ◽

Martin Russell

Keyword(s):

Speech Recognition ◽

Visual Attention ◽

Spontaneous Speech

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Combinations of various language model technologies including data expansion and adaptation in spontaneous speech recognition

10.21437/interspeech.2015-176 ◽

2015 ◽

Author(s):

Ryo Masumura ◽

Taichi Asami ◽

Takanobu Oba ◽

Hirokazu Masataki ◽

Sumitaka Sakauchi ◽

...

Keyword(s):

Speech Recognition ◽

Language Model ◽

Spontaneous Speech ◽

Data Expansion

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Acoustic Feature Analysis and Discriminative Modeling of Filled Pauses for Spontaneous Speech Recognition

Real World Speech Processing ◽

10.1007/978-1-4757-6363-8_2 ◽

2004 ◽

pp. 17-30

Author(s):

Chung-Hsien Wu ◽

Gwo-Lang Yan

Keyword(s):

Speech Recognition ◽

Spontaneous Speech ◽

Feature Analysis ◽

Acoustic Feature ◽

Filled Pauses

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Acoustic and language modeling of human and nonhuman noises for human-to-human spontaneous speech recognition

1995 International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1995.479531 ◽

2002 ◽

Cited By ~ 12

Author(s):

T. Schultz ◽

I. Rogina

Keyword(s):

Speech Recognition ◽

Spontaneous Speech ◽

Language Modeling

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Segmentation of Lecture Videos Based on Spontaneous Speech Recognition

10.1109/ism.2008.20 ◽

2008 ◽

Cited By ~ 6

Author(s):

Stephan Repp ◽

Christoph Meinel

Keyword(s):

Speech Recognition ◽

Spontaneous Speech ◽

Lecture Videos

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An Unsupervised Speaker Adaptation Method for Lecture-Style Spontaneous Speech Recognition Using Multiple Recognition Systems

IEICE Transactions on Information and Systems ◽

10.1093/ietisy/e88-d.3.463 ◽

2005 ◽

Vol E88-D (3) ◽

pp. 463-471 ◽

Cited By ~ 3

Author(s):

S. NAKAGAWA

Keyword(s):

Speech Recognition ◽

Spontaneous Speech ◽

Recognition Systems ◽

Adaptation Method

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Modeling of Filled Pauses and Prolongations to Improve Slovak Spontaneous Speech Recognition

Topics in Intelligent Engineering and Informatics - Cognitive Infocommunications, Theory and Applications ◽

10.1007/978-3-319-95996-2_8 ◽

2018 ◽

pp. 153-176

Author(s):

Ján Staš ◽

Daniel Hládek ◽

Jozef Juhár

Keyword(s):

Speech Recognition ◽

Spontaneous Speech ◽

Filled Pauses

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