| Year |
Citation |
Score |
| 2020 |
Kosko B, Audhkhasi K, Osoba O. Noise can speed backpropagation learning and deep bidirectional pretraining. Neural Networks : the Official Journal of the International Neural Network Society. 129: 359-384. PMID 32599541 DOI: 10.1016/J.Neunet.2020.04.004 |
0.351 |
|
| 2018 |
Gupta R, Audhkhasi K, Jacokes Z, Rozga A, Narayanan S. Modeling multiple time series annotations as noisy distortions of the ground truth: An Expectation-Maximization approach. Ieee Transactions On Affective Computing. 9: 76-89. PMID 29644011 DOI: 10.1109/Taffc.2016.2592918 |
0.521 |
|
| 2018 |
Hsu A, Han J, Cui X, Audhkhasi K, Gupta AK, Sutlive J, Ahmed T, Müller R. Bat-inspired dynamic features and factors that modulate their impact on speech recognition The Journal of the Acoustical Society of America. 144: 1872-1872. DOI: 10.1121/1.5068236 |
0.467 |
|
| 2017 |
Audhkhasi K, Rosenberg A, Saon G, Sethy A, Ramabhadran B, Chen S, Picheny M. Recent progress in deep end-to-end models for spoken language processing Ibm Journal of Research and Development. 61: 2:1-2:10. DOI: 10.1147/Jrd.2017.2701207 |
0.638 |
|
| 2017 |
Hsu A, Gupta AK, Müller R, Cui X, Audhkhasi K, Han J. Representations of speech signals recorded through a dynamic periphery inspired by horseshoe bat biosonar The Journal of the Acoustical Society of America. 142: 2706-2707. DOI: 10.1121/1.5014879 |
0.455 |
|
| 2017 |
Audhkhasi K, Rosenberg A, Sethy A, Ramabhadran B, Kingsbury B. End-to-End ASR-Free Keyword Search From Speech Ieee Journal of Selected Topics in Signal Processing. 11: 1351-1359. DOI: 10.1109/Jstsp.2017.2759726 |
0.639 |
|
| 2016 |
Gupta R, Audhkhasi K, Lee S, Narayanan S. Detecting paralinguistic events in audio stream using context in features and probabilistic decisions. Computer Speech & Language. 36: 72-92. PMID 28713197 DOI: 10.1016/J.Csl.2015.08.003 |
0.52 |
|
| 2016 |
Gupta R, Audhkhasi K, Lee S, Narayanan S. Detecting paralinguistic events in audio stream using context in features and probabilistic decisions Computer Speech and Language. 36: 72-92. DOI: 10.1016/j.csl.2015.08.003 |
0.378 |
|
| 2015 |
Audhkhasi K, Osoba O, Kosko B. Noise-enhanced convolutional neural networks. Neural Networks : the Official Journal of the International Neural Network Society. PMID 26700535 DOI: 10.1016/J.Neunet.2015.09.014 |
0.353 |
|
| 2015 |
Bone D, Goodwin MS, Black MP, Lee CC, Audhkhasi K, Narayanan S. Applying machine learning to facilitate autism diagnostics: pitfalls and promises. Journal of Autism and Developmental Disorders. 45: 1121-36. PMID 25294649 DOI: 10.1007/S10803-014-2268-6 |
0.547 |
|
| 2014 |
Audhkhasi K, Zavou AM, Georgiou PG, Narayanan SS. Theoretical analysis of diversity in an ensemble of automatic speech recognition systems Ieee Transactions On Audio, Speech and Language Processing. 22: 711-726. DOI: 10.1109/Taslp.2014.2303295 |
0.565 |
|
| 2013 |
Audhkhasi K, Narayanan S. A globally-variant locally-constant model for fusion of labels from multiple diverse experts without using reference labels. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 769-83. PMID 22732663 DOI: 10.1109/Tpami.2012.139 |
0.54 |
|
| 2012 |
Morbini F, Audhkhasi K, Artstein R, Van Segbroeck M, Sagae K, Georgiou P, Traum DR, Narayanan S. A reranking approach for recognition and classification of speech input in conversational dialogue systems 2012 Ieee Workshop On Spoken Language Technology, Slt 2012 - Proceedings. 49-54. DOI: 10.1109/SLT.2012.6424196 |
0.569 |
|
| 2012 |
Audhkhasi K, Georgiou PG, Narayanan SS. Analyzing quality of crowd-sourced speech transcriptions of noisy audio for acoustic model adaptation Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4137-4140. DOI: 10.1109/ICASSP.2012.6288829 |
0.473 |
|
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