A Hybrid Transformation and Filtering Approach for Speech Enhancement with Time Domain Pitch Synchronous Overlap-add

Research Journal of Applied Sciences Engineering and Technology ◽

10.19026/rjaset.8.976 ◽

2014 ◽

Vol 8 (3) ◽

pp. 321-330

Author(s):

V.R. Balaji ◽

S. Subramanian

Keyword(s):

Speech Enhancement ◽

Time Domain ◽

Filtering Approach

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A Post-Filtering Approach Based on Locally Linear Embedding Difference Compensation for Speech Enhancement

10.21437/interspeech.2017-62 ◽

2017 ◽

Author(s):

Yi-Chiao Wu ◽

Hsin-Te Hwang ◽

Syu-Siang Wang ◽

Chin-Cheng Hsu ◽

Yu Tsao ◽

...

Keyword(s):

Speech Enhancement ◽

Locally Linear Embedding ◽

Linear Embedding ◽

Filtering Approach ◽

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Improved Speech Enhancement Using a Time-Domain GAN with Mask Learning

10.21437/interspeech.2020-1946 ◽

2020 ◽

Author(s):

Ju Lin ◽

Sufeng Niu ◽

Adriaan J. van Wijngaarden ◽

Jerome L. McClendon ◽

Melissa C. Smith ◽

...

Keyword(s):

Speech Enhancement ◽

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TSTNN: Two-Stage Transformer Based Neural Network for Speech Enhancement in the Time Domain

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp39728.2021.9413740 ◽

2021 ◽

Author(s):

Kai Wang ◽

Bengbeng He ◽

Wei-Ping Zhu

Keyword(s):

Neural Network ◽

Speech Enhancement ◽

Time Domain ◽

Two Stage ◽

The Time Domain

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Dense CNN with Self-Attention for Time-Domain Speech Enhancement

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2021.3064421 ◽

2021 ◽

pp. 1-1

Author(s):

Ashutosh Pandey ◽

Deliang Wang

Keyword(s):

Speech Enhancement ◽

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Multichannel Speech Enhancement in the Time Domain

SpringerBriefs in Electrical and Computer Engineering - Canonical Correlation Analysis in Speech Enhancement ◽

10.1007/978-3-319-67020-1_5 ◽

2017 ◽

pp. 59-77

Author(s):

Jacob Benesty ◽

Israel Cohen

Keyword(s):

Speech Enhancement ◽

Time Domain ◽

The Time Domain

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Single-Channel Speech Enhancement in the Time Domain

SpringerBriefs in Electrical and Computer Engineering - Canonical Correlation Analysis in Speech Enhancement ◽

10.1007/978-3-319-67020-1_3 ◽

2017 ◽

pp. 15-35 ◽

Author(s):

Jacob Benesty ◽

Israel Cohen

Keyword(s):

Speech Enhancement ◽

Time Domain ◽

Single Channel ◽

The Time Domain

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The Theory of Compressive Sensing Matching Pursuit Considering Time-domain Noise with Application to Speech Enhancement

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2014.2300336 ◽

2014 ◽

Vol 22 (3) ◽

pp. 682-696 ◽

Author(s):

Dalei Wu ◽

Wei-Ping Zhu ◽

M. N. S. Swamy

Keyword(s):

Compressive Sensing ◽

Speech Enhancement ◽

Time Domain ◽

Matching Pursuit

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Densely Connected Neural Network with Dilated Convolutions for Real-Time Speech Enhancement in The Time Domain

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp40776.2020.9054536 ◽

2020 ◽

Author(s):

Ashutosh Pandey ◽

DeLiang Wang

Keyword(s):

Neural Network ◽

Real Time ◽

Speech Enhancement ◽

Time Domain ◽

The Time Domain

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On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2020.2968738 ◽

2020 ◽

Vol 28 ◽

pp. 825-838 ◽

Author(s):

Morten Kolbaek ◽

Zheng-Hua Tan ◽

Soren Holdt Jensen ◽

Jesper Jensen

Keyword(s):

Speech Enhancement ◽

Time Domain ◽

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A novel double pole transfer function‐single frequency filtering approach for speech enhancement

Transactions on Emerging Telecommunications Technologies ◽

10.1002/ett.4038 ◽

2020 ◽

Vol 31 (12) ◽

Author(s):

V. Srinivasarao ◽

Umesh Ghanekar

Keyword(s):

Transfer Function ◽

Speech Enhancement ◽

Single Frequency ◽

Frequency Filtering ◽

Double Pole ◽

Single Frequency Filtering ◽

Filtering Approach

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