Performance estimation of spontaneous speech recognition using non-reference acoustic features

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA) ◽

10.1109/apsipa.2016.7820792 ◽

2016 ◽

Author(s):

Ling Guo ◽

Takeshi Yamada ◽

Shoji Makino

Keyword(s):

Speech Recognition ◽

Spontaneous Speech ◽

Performance Estimation ◽

Acoustic Features

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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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Enhancing robustness of zero resource children's speech recognition system through bispectrum based front-end acoustic features

Digital Signal Processing ◽

10.1016/j.dsp.2021.103226 ◽

2021 ◽

pp. 103226

Author(s):

S. Shahnawazuddin ◽

Avinash Kumar ◽

Saurabh Kumar ◽

Waquar Ahmad

Keyword(s):

Speech Recognition ◽

Recognition System ◽

Speech Recognition System ◽

Acoustic Features ◽

Front End ◽

Children’S Speech Recognition ◽

Children's Speech

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A method of extracting time-varying acoustic features effective for speech recognition

1997 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1997.596207 ◽

2002 ◽

Cited By ~ 3

Author(s):

K. Tanaka ◽

H. Kojima

Keyword(s):

Speech Recognition ◽

Time Varying ◽

Acoustic Features

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Detecting Alzheimer’s Disease Using Interactional and Acoustic Features from Spontaneous Speech

10.21437/interspeech.2021-1526 ◽

2021 ◽

Author(s):

Shamila Nasreen ◽

Julian Hough ◽

Matthew Purver

Keyword(s):

Spontaneous Speech ◽

Acoustic Features

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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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Significance of group delay based acoustic features in the linguistic search space for robust speech recognition

10.21437/interspeech.2008-440 ◽

2008 ◽

Author(s):

R. Ramya ◽

Rajesh M. Hegde ◽

Hema A. Murthy

Keyword(s):

Speech Recognition ◽

Group Delay ◽

Search Space ◽

Robust Speech Recognition ◽

Acoustic Features

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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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