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IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9290, 01/2019, Volume 27, Issue 1, pp. 7 - 19
Journal Article
Speech Communication, ISSN 0167-6393, 09/2016, Volume 82, pp. 38 - 52
Journal Article
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 03/2016, Volume 2016-, pp. 5720 - 5724
Robustness against noise is crucial for automatic speech recognition systems in real-world environments. In this paper, we propose a novel approach that... 
Training | CNN | Ideal Ratio Mask | DNN | Estimation | Speech recognition | Ideal Binary Mask | Speech | Robustness | Noise measurement | Signal to noise ratio | Robust ASR | Conferences | Neural networks | Electronics | Estimates | Masks | Recognition
Conference Proceeding
Speech Communication, ISSN 0167-6393, 2006, Volume 48, Issue 11, pp. 1486 - 1501
A time-varying Wiener filter specifies the ratio of a target signal and a noisy mixture in a local time-frequency unit. We estimate this ratio using a binaural... 
Speech segregation | Binaural processing | Ratio mask | Robust speech recognition | Ideal binary mask | Missing-data recognizer | ACOUSTICS | missing-data recognizer | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | robust speech recognition | binaural processing | ideal binary mask | ratio mask | NOISE | SEPARATION | SUPPRESSION | speech segregation | Voice recognition
Journal Article
Speech Communication, ISSN 0167-6393, 04/2014, Volume 59, pp. 22 - 30
For speech separation systems, the ideal binary mask (IBM) can be viewed as a simplified goal of the ideal ratio mask (IRM) which is derived from Wiener... 
Ideal ratio mask | Ideal binary mask | W-Disjoint Orthogonality | AUTOMATIC SPEECH RECOGNITION | ACOUSTICS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | INTELLIGIBILITY | ALGORITHM | SEGREGATION | SEPARATION
Journal Article
Speech Communication, ISSN 0167-6393, 2009, Volume 51, Issue 3, pp. 230 - 239
The concept of ideal binary time–frequency masks has received attention recently in monaural and binaural sound separation. Although often assumed, the... 
Ideal ratio mask | Sound separation | Wiener filter | Ideal binary mask | Optimality | AUDITORY SCENE ANALYSIS | SEGREGATION | SOURCE SEPARATION | ACOUSTICS | MONAURAL SPEECH | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ENHANCEMENT | SPEECH RECOGNITION | Computer science
Journal Article
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9290, 03/2016, Volume 24, Issue 3, pp. 483 - 492
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 10/2012, Volume 19, Issue 10, pp. 627 - 630
In present binary masking based speech separation systems, it is almost impossible to obtain the ideal binary mask (IBM). The error in IBM estimation usually... 
iterated conditional modes (ICM) | Noise | Estimation | Signal processing algorithms | Interference | Speech | Silicon | Markov random field | Ideal binary mask | ideal ratio mask | Speech processing | NOISE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9290, 01/2017, Volume 25, Issue 1, pp. 153 - 167
In this paper, we study aspects of single microphone speech enhancement SE based on deep neural networks DNNs. Specifically, we explore the generalizability... 
Training | generalizability | Deep neural networks | Signal processing algorithms | Speech enhancement | Speech | Silicon | intelligibility | Noise measurement | ideal ratio mask | Signal to noise ratio | speech enhancement | RECOGNITION | ALGORITHM | RATIO | NOISE | ENGINEERING, ELECTRICAL & ELECTRONIC | ACOUSTICS | COEFFICIENTS | REAL | OPTIMIZATION | SQUARE ERROR ESTIMATION | Neural networks | Speech processing
Journal Article
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 03/2016, Volume 2016-, pp. 5220 - 5224
The phase response of noisy speech has largely been ignored, but recent research shows the importance of phase for perceptual speech quality. A few phase... 
Time-frequency analysis | Deep neural network | speech separation | Estimation | Speech enhancement | complex ideal ratio mask | Speech | Production facilities | Noise measurement | speech quality | Signal to noise ratio | Fourier transforms | Algorithms | Conferences | Neural networks | Electronics | Masking | Speech processing
Conference Proceeding
2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), 02/2018, pp. 1 - 5
Conference Proceeding
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9290, 07/2017, Volume 25, Issue 7, pp. 1492 - 1501
Journal Article
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2018, Volume 2018-, pp. 5074 - 5078
Human listeners often have difficulties understanding speech in the presence of background noise in the real world. Recently, supervised learning based speech... 
Training | denoising | Microsoft Windows | Noise reduction | Neural networks | Speech enhancement | Noise measurement | ideal ratio mask | STOI | speech intelligibility | deep neural networks | Signal to noise ratio | Ideal ratio mask | Deep neural networks | Speech intelligibility | Denoising
Conference Proceeding
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, ISSN 2308-457X, 2017, Volume 2017-, pp. 1203 - 1207
Conference Proceeding
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 03/2017, pp. 5580 - 5584
In daily listening environments, speech is commonly corrupted by room reverberation and background noise. These distortions are detrimental to speech... 
Training | phase | Noise reduction | Speech enhancement | Speech | Linear programming | Noise measurement | ideal ratio mask | Time-domain analysis | deep neural networks | spectral mapping | speech enhancement
Conference Proceeding
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 03/2016, Volume 2016-, pp. 6525 - 6529
In the real world, speech is usually distorted by both reverberation and background noise. In such conditions, speech intelligibility is degraded... 
Training | speech intelligibility test | Speech enhancement | Speech | Distortion | Noise measurement | Reverberation | ideal ratio mask | spectral mapping | deep neural networks | Signal to noise ratio | speech denoising | Conferences | Neural networks | Intelligibility | Electronics | Mapping | Spectra
Conference Proceeding
SID Symposium Digest of Technical Papers, ISSN 0097-966X, 05/2018, Volume 49, Issue 1, pp. 467 - 470
Sound signals play a crucial role in immersive perceptual experiences, such as virtual and augmented reality applications and hearing assistant devices.... 
denoising | Supervised speech enhancement | recurrent neural networks | dereverberation | ideal ratio mask | speech intelligibility | deep neural networks | long short-term memory | Noise | Virtual reality | Machine learning | Speech | Hearing aids | Background noise | Speech processing | Augmented reality
Journal Article
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 03/2017, pp. 5590 - 5594
Traditional speech separation systems enhance the magnitude response of noisy speech. Recent studies, however, have shown that perceptual speech quality is... 
Deep neural networks | Noise reduction | speech separation | dereverberation | Estimation | Customer relationship management | Speech enhancement | complex ideal ratio mask | Speech | Feature extraction | Noise measurement | speech quality
Conference Proceeding
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