An efferent-inspired auditory model front-end for speech recognition

Mapping Intimacies ◽

10.21437/interspeech.2011-13 ◽

2011 ◽

Author(s):

Chia-ying Lee ◽

James Glass ◽

Oded Ghitza

Keyword(s):

Speech Recognition ◽

Auditory Model ◽

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Speaker‐independent speech recognition using an auditory model front end incorporating the spectro‐temporal masking effect

The Journal of the Acoustical Society of America ◽

10.1121/1.406356 ◽

1993 ◽

Vol 93 (4) ◽

pp. 2319-2320

Author(s):

Kazuaki Obara ◽

Kiyoaki Aikawa ◽

Hideki Kawahara

Keyword(s):

Speech Recognition ◽

Masking Effect ◽

Auditory Model ◽

Front End ◽

Speaker Independent ◽

Temporal Masking

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The ZTSpeech system for CHiME-5 Challenge: A far-field speech recognition system with front-end and robust back-end

10.21437/chime.2018-13 ◽

2018 ◽

Author(s):

Chenxing Li ◽

Tieqiang Wang

Keyword(s):

Speech Recognition ◽

Recognition System ◽

Far Field ◽

Speech Recognition System ◽

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A Cross-Entropy-Guided (CEG) Measure for Speech Enhancement Front-End Assessing Performances of Back-End Automatic Speech Recognition

10.21437/interspeech.2019-2511 ◽

2019 ◽

Author(s):

Li Chai ◽

Jun Du ◽

Chin-Hui Lee

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Automatic Speech Recognition ◽

Cross Entropy ◽

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Temporal non-place information in the auditory-nerve firing patterns as a front-end for speech recognition in a noisy environment

Journal of Phonetics ◽

10.1016/s0095-4470(19)30469-3 ◽

1988 ◽

Vol 16 (1) ◽

pp. 109-123 ◽

Author(s):

Oded Ghitza

Keyword(s):

Speech Recognition ◽

Auditory Nerve ◽

Noisy Environment ◽

Firing Patterns ◽

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Performance evaluation of front-end algorithms for robust speech recognition

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005. ◽

10.1109/isspa.2005.1581037 ◽

2006 ◽

Author(s):

O. Cheng ◽

W. Abdulla ◽

Z. Salcic

Keyword(s):

Performance Evaluation ◽

Speech Recognition ◽

Robust Speech Recognition ◽

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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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Comparing Front-End Enhancement Techniques and Multiconditioned Training for Robust Automatic Speech Recognition

Text, Speech, and Dialogue - Lecture Notes in Computer Science ◽

10.1007/978-3-030-27947-9_28 ◽

2019 ◽

pp. 329-340 ◽

Author(s):

Meet H. Soni ◽

Sonal Joshi ◽

Ashish Panda

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

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Cross-system adaptation and combination for continuous speech recognition: the influence of phoneme set and acoustic front-end

10.21437/interspeech.2006-199 ◽

2006 ◽

Author(s):

Sebastian Stüker ◽

Christian Fügen ◽

Susanne Burger ◽

Matthias Wölfel

Keyword(s):

Speech Recognition ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Front End ◽

System Adaptation ◽

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Advanced front-end for robust speech recognition in extremely adverse environments

10.21437/interspeech.2007-638 ◽

2007 ◽

Author(s):

Dimitrios Dimitriadis ◽

Jose C. Segura ◽

Luz Garcia ◽

Alexandros Potamianos ◽

Petros Maragos ◽

...

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Front End ◽

Adverse Environments

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A Unified Front-end Anti-interference Approach for Robust Automatic Speech Recognition

2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) ◽

10.1109/isspit47144.2019.9001809 ◽

2019 ◽

Author(s):

Yunming Liang ◽

Yi Zhou ◽

Yongbao Ma ◽

Hongqing Liu

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

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