Sriram Ganapathy, Ph.D.
Affiliations: | Johns Hopkins University, Baltimore, MD |
Area:
automatic speech recognitionGoogle:
"Sriram Ganapathy"Mean distance: 18.05 (cluster 17)
Parents
Sign in to add mentor| Hynek Hermansky | grad student | 2012 | Johns Hopkins | |
| (Signal analysis using autoregressive models of amplitude modulation.) | ||||
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Publications
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| Ramoji S, Krishnan P, Mysore B, et al. (2020) LEAP System for SRE19 Challenge -- Improvements and Error Analysis Arxiv: Audio and Speech Processing |
| Ramoji S, Krishnan P, Ganapathy S. (2020) NPLDA: A Deep Neural PLDA Model for Speaker Verification Arxiv: Audio and Speech Processing |
| Padi B, Mohan A, Ganapathy S. (2020) Towards Relevance and Sequence Modeling in Language Recognition Ieee/Acm Transactions On Audio, Speech, and Language Processing. 28: 1223-1232 |
| Kalluri SB, Vijayasenan D, Ganapathy S. (2020) Automatic speaker profiling from short duration speech data Speech Communication. 121: 16-28 |
| Ramoji S, Ganapathy S. (2020) Supervised I-vector modeling for language and accent recognition Computer Speech & Language. 60: 101030 |
| Sharma NK, Ganesh S, Ganapathy S, et al. (2019) Talker change detection: A comparison of human and machine performance. The Journal of the Acoustical Society of America. 145: 131 |
| Agrawal P, Ganapathy S. (2019) Modulation Filter Learning Using Deep Variational Networks for Robust Speech Recognition Ieee Journal of Selected Topics in Signal Processing. 13: 244-253 |
| Kanagasundaram A, Sridharan S, Ganapathy S, et al. (2019) Study on pairwise LDA for x-vector-based speaker recognition Electronics Letters. 55: 813-816 |
| Agrawal P, Ganapathy S. (2017) Unsupervised modulation filter learning for noise-robust speech recognition. The Journal of the Acoustical Society of America. 142: 1686 |
| Ganapathy S. (2017) Multivariate Autoregressive Spectrogram Modeling for Noisy Speech Recognition Ieee Signal Processing Letters. 24: 1373-1377 |