Audio augmentation for speech recognition. T Ko, V Peddinti, D Povey, S Khudanpur Interspeech 2015, 3586, 2015 | 1357 | 2015 |
A time delay neural network architecture for efficient modeling of long temporal contexts. V Peddinti, D Povey, S Khudanpur Interspeech, 3214-3218, 2015 | 1324 | 2015 |
A study on data augmentation of reverberant speech for robust speech recognition T Ko, V Peddinti, D Povey, ML Seltzer, S Khudanpur 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 1050 | 2017 |
Purely sequence-trained neural networks for ASR based on lattice-free MMI. D Povey, V Peddinti, D Galvez, P Ghahremani, V Manohar, X Na, Y Wang, ... Interspeech, 2751-2755, 2016 | 1013 | 2016 |
Lingvo: a modular and scalable framework for sequence-to-sequence modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... arXiv preprint arXiv:1902.08295, 2019 | 205 | 2019 |
Low latency acoustic modeling using temporal convolution and LSTMs V Peddinti, Y Wang, D Povey, S Khudanpur IEEE Signal Processing Letters 25 (3), 373-377, 2017 | 186 | 2017 |
Evaluating speech features with the minimal-pair ABX task: Analysis of the classical MFC/PLP pipeline T Schatz, V Peddinti, F Bach, A Jansen, H Hermansky, E Dupoux INTERSPEECH 2013: 14th Annual Conference of the International Speech …, 2013 | 181 | 2013 |
An Exploration of Dropout with LSTMs. G Cheng, V Peddinti, D Povey, V Manohar, S Khudanpur, Y Yan Interspeech, 1586-1590, 2017 | 144 | 2017 |
Jhu aspire system: Robust lvcsr with tdnns, ivector adaptation and rnn-lms V Peddinti, G Chen, V Manohar, T Ko, D Povey, S Khudanpur 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 131 | 2015 |
A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition A Jansen, E Dupoux, S Goldwater, M Johnson, S Khudanpur, K Church, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 120 | 2013 |
Reverberation robust acoustic modeling using i-vectors with time delay neural networks. V Peddinti, G Chen, D Povey, S Khudanpur Interspeech, 2440-2444, 2015 | 99 | 2015 |
MEAN TEMPORAL DISTANCE: PREDICTING ASR ERROR FROM TEMPORAL PROPERTIES OF SPEECH SIGNAL H Hermansky, E Variani, V Peddinti ICASSP, 2013 | 68 | 2013 |
Evaluating speech features with the Minimal-Pair ABX task (II): Resistance to noise T Schatz, V Peddinti, XN Cao, F Bach, H Hermansky, E Dupoux Fifteenth Annual Conference of the International Speech Communication …, 2014 | 52 | 2014 |
Far-Field ASR Without Parallel Data. V Peddinti, V Manohar, Y Wang, D Povey, S Khudanpur INTERSPEECH 9, 1996-2000, 2016 | 50 | 2016 |
The Kaldi OpenKWS System: Improving Low Resource Keyword Search. J Trmal, M Wiesner, V Peddinti, X Zhang, P Ghahremani, Y Wang, ... Interspeech, 3597-3601, 2017 | 47 | 2017 |
Deep scattering spectrum with deep neural networks V Peddinti, TN Sainath, S Maymon, B Ramabhadran, D Nahamoo, V Goel 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 42 | 2014 |
3-D CNN models for far-field multi-channel speech recognition S Ganapathy, V Peddinti 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 38 | 2018 |
Backstitch: Counteracting Finite-Sample Bias via Negative Steps. Y Wang, V Peddinti, H Xu, X Zhang, D Povey, S Khudanpur Interspeech, 1631-1635, 2017 | 33 | 2017 |
Deep scattering spectra with deep neural networks for LVCSR tasks TN Sainath, V Peddinti, B Kingsbury, P Fousek, B Ramabhadran, ... Fifteenth annual conference of the international speech communication …, 2014 | 28 | 2014 |
Building unit selection speech synthesis in Indian languages: An initiative by an Indian consortium HA Murthy, A Bellur, V Viswanath, B Narayanan, A Susan, G Kasthuri, ... Proceedings of COCOSDA, Kathmandu, Nepal, pp. 1-6, 2010 | 21 | 2010 |