Data-driven design of front-end filter bank for Lombard speech recognition

Mapping Intimacies ◽

10.21437/interspeech.2006-127 ◽

2006 ◽

Author(s):

Hynek Boril ◽

Petr Fousek ◽

Petr Pollák

Keyword(s):

Speech Recognition ◽

Filter Bank ◽

Data Driven ◽

Front End

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A noise-robust front-end based on tree-structured filter-bank for speech recognition

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium ◽

10.1109/ijcnn.2000.859376 ◽

2000 ◽

Author(s):

Rhee Man Kil ◽

Young-Ik Kim ◽

Geon Hyoung Lee

Keyword(s):

Speech Recognition ◽

Filter Bank ◽

Front End ◽

Noise Robust

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Data Driven Design of Filter Bank for Speech Recognition

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

10.1007/3-540-44805-5_40 ◽

2001 ◽

pp. 299-304 ◽

Cited By ~ 10

Author(s):

Lukáš Burget ◽

Hynek Heřmanský

Keyword(s):

Speech Recognition ◽

Filter Bank ◽

Data Driven

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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 ◽

Front End

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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 ◽

Front End

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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 ◽

Cited By ~ 58

Author(s):

Oded Ghitza

Keyword(s):

Speech Recognition ◽

Auditory Nerve ◽

Noisy Environment ◽

Firing Patterns ◽

Front End

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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 ◽

Cited By ~ 4

Author(s):

O. Cheng ◽

W. Abdulla ◽

Z. Salcic

Keyword(s):

Performance Evaluation ◽

Speech Recognition ◽

Robust Speech Recognition ◽

Front End

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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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Robust speech recognition using data-driven temporal filters based on independent component analysis

10.21437/interspeech.2004-625 ◽

2004 ◽

Author(s):

Junhui Zhao ◽

Jingming Kuang ◽

Xiang Xie

Keyword(s):

Speech Recognition ◽

Independent Component Analysis ◽

Component Analysis ◽

Independent Component ◽

Data Driven ◽

Robust Speech Recognition ◽

Using Data

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Filtering of Filter-Bank Energies for Robust Speech Recognition

ETRI Journal ◽

10.4218/etrij.04.0203.0033 ◽

2004 ◽

Vol 26 (3) ◽

pp. 273-276 ◽

Cited By ~ 6

Author(s):

Ho-Young Jung

Keyword(s):

Speech Recognition ◽

Filter Bank ◽

Robust Speech Recognition

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Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2018.8512578 ◽

2018 ◽

Cited By ~ 2

Author(s):

Ahmed Imtiaz Humayun ◽

Shabnam Ghaffarzadegan ◽

Zhe Feng ◽

Taufiq Hasan

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Filter Bank ◽

Heart Sound ◽

Front End ◽

Sound Detection

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