Kartik Audhkhasi, Ph.D.
Affiliations: | 2014 | Electrical Engineering | University of Southern California, Los Angeles, CA, United States |
Area:
Computer Engineering, Computer Science, Artificial IntelligenceGoogle:
"Kartik Audhkhasi"Parents
Sign in to add mentor| Shrikanth S. Narayanan | grad student | 2014 | USC | |
| (A computational framework for diversity in ensembles of humans and machine systems.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Kosko B, Audhkhasi K, Osoba O. (2020) Noise can speed backpropagation learning and deep bidirectional pretraining. Neural Networks : the Official Journal of the International Neural Network Society. 129: 359-384 |
| Gupta R, Audhkhasi K, Jacokes Z, et al. (2018) Modeling multiple time series annotations as noisy distortions of the ground truth: An Expectation-Maximization approach. Ieee Transactions On Affective Computing. 9: 76-89 |
| Hsu A, Han J, Cui X, et al. (2018) Bat-inspired dynamic features and factors that modulate their impact on speech recognition The Journal of the Acoustical Society of America. 144: 1872-1872 |
| Audhkhasi K, Rosenberg A, Saon G, et al. (2017) Recent progress in deep end-to-end models for spoken language processing Ibm Journal of Research and Development. 61: 2:1-2:10 |
| Hsu A, Gupta AK, Müller R, et al. (2017) 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 |
| Audhkhasi K, Rosenberg A, Sethy A, et al. (2017) End-to-End ASR-Free Keyword Search From Speech Ieee Journal of Selected Topics in Signal Processing. 11: 1351-1359 |
| Gupta R, Audhkhasi K, Lee S, et al. (2016) Detecting paralinguistic events in audio stream using context in features and probabilistic decisions. Computer Speech & Language. 36: 72-92 |
| Gupta R, Audhkhasi K, Lee S, et al. (2016) Detecting paralinguistic events in audio stream using context in features and probabilistic decisions Computer Speech and Language. 36: 72-92 |
| Audhkhasi K, Osoba O, Kosko B. (2015) Noise-enhanced convolutional neural networks. Neural Networks : the Official Journal of the International Neural Network Society |
| Bone D, Goodwin MS, Black MP, et al. (2015) Applying machine learning to facilitate autism diagnostics: pitfalls and promises. Journal of Autism and Developmental Disorders. 45: 1121-36 |