reverberant speech recognition Latest Research Papers

Generalized Weighted-Prediction-Error Dereverberation with Varying Source Priors For Reverberant Speech Recognition

2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) ◽

10.1109/waspaa.2019.8937270 ◽

2019 ◽

Author(s):

Toru Taniguchi ◽

Aswin Shanmugam Subramanian ◽

Xiaofei Wang ◽

Dung Tran ◽

Yuya Fujita ◽

...

Keyword(s):

Speech Recognition ◽

Prediction Error ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Ensemble of jointly trained deep neural network-based acoustic models for reverberant speech recognition

Digital Signal Processing ◽

10.1016/j.dsp.2018.11.005 ◽

2019 ◽

Vol 85 ◽

pp. 1-9 ◽

Cited By ~ 10

Author(s):

Moa Lee ◽

Jeehye Lee ◽

Joon-Hyuk Chang

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network ◽

Acoustic Models ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Multi-resolution DenseNet based acoustic models for reverberant speech recognition

Phonetics and Speech Sciences ◽

10.13064/ksss.2018.10.1.033 ◽

2018 ◽

Vol 10 (1) ◽

pp. 33-38 ◽

Cited By ~ 2

Author(s):

Sunchan Park ◽

Yongwon Jeong ◽

Hyung Soon Kim

Keyword(s):

Speech Recognition ◽

Acoustic Models ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Linear prediction-based dereverberation with very deep convolutional neural networks for reverberant speech recognition

10.23919/elinfocom.2018.8330593 ◽

2018 ◽

Cited By ~ 2

Author(s):

Sunchan Park ◽

Yongwon Jeong ◽

Min Sik Kim ◽

Hyung Soon Kim

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Convolutional Neural Networks ◽

Linear Prediction ◽

Deep Convolutional Neural Networks ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Bayesian feature enhancement using independent vector analysis and reverberation parameter re-estimation for noisy reverberant speech recognition

Computer Speech & Language ◽

10.1016/j.csl.2017.01.010 ◽

2017 ◽

Vol 46 ◽

pp. 496-516 ◽

Cited By ~ 1

Author(s):

Ji-Won Cho ◽

Jong-Hyeon Park ◽

Joon-Hyuk Chang ◽

Hyung-Min Park

Keyword(s):

Speech Recognition ◽

Vector Analysis ◽

Independent Vector ◽

Feature Enhancement ◽

Independent Vector Analysis ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Multiresolution CNN for reverberant speech recognition

2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA) ◽

10.1109/icsda.2017.8384470 ◽

2017 ◽

Cited By ~ 6

Author(s):

Sunchan Park ◽

Yongwon Jeong ◽

Hyung Soon Kim

Keyword(s):

Speech Recognition ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Combination strategy based on relative performance monitoring for multi-stream reverberant speech recognition

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2017.7953082 ◽

2017 ◽

Author(s):

Feifei Xiong ◽

Stefan Goetze ◽

Bernd T. Meyer

Keyword(s):

Speech Recognition ◽

Performance Monitoring ◽

Relative Performance ◽

Combination Strategy ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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A Subband-Based Stationary-Component Suppression Method Using Harmonics and Power Ratio for Reverberant Speech Recognition

IEEE Signal Processing Letters ◽

10.1109/lsp.2016.2554888 ◽

2016 ◽

Vol 23 (6) ◽

pp. 780-784 ◽

Cited By ~ 3

Author(s):

Byung Joon Cho ◽

Haeyong Kwon ◽

Ji-Won Cho ◽

Chanwoo Kim ◽

Richard M. Stern ◽

...

Keyword(s):

Speech Recognition ◽

Power Ratio ◽

Suppression Method ◽

Reverberant Speech ◽

Reverberant Speech Recognition ◽

Stationary Component

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