Követés
Pranay Dighe
Pranay Dighe
E-mail megerősítve itt: apple.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Audio event detection from acoustic unit occurrence patterns
A Kumar, P Dighe, R Singh, S Chaudhuri, B Raj
2012 IEEE international conference on acoustics, speech and signal …, 2012
762012
Swara Histogram Based Structural Analysis And Identification Of Indian Classical Ragas.
P Dighe, H Karnick, B Raj
ISMIR, 35-40, 2013
692013
Scale independent raga identification using chromagram patterns and swara based features
P Dighe, P Agrawal, H Karnick, S Thota, B Raj
2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-4, 2013
602013
Exploiting low-dimensional structures to enhance DNN based acoustic modeling in speech recognition
P Dighe, G Luyet, A Asaei, H Bourlard
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
302016
Analyzing uncertainties in speech recognition using dropout
A Vyas, P Dighe, S Tong, H Bourlard
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
282019
Sparse modeling of neural network posterior probabilities for exemplar-based speech recognition
P Dighe, A Asaei, H Bourlard
Speech Communication 76, 230-244, 2016
282016
Sparse modeling of posterior exemplars for keyword detection
D Ram, A Asaei, P Dighe, H Bourlard
Proceedings of Interspeech, 3690-3694, 2015
152015
Low-rank representation of nearest neighbor phone posterior probabilities to enhance DNN acoustic modeling
G Luyet, P Dighe, A Asaei, H Bourlard
Idiap, 2016
132016
Streaming transformer for hardware efficient voice trigger detection and false trigger mitigation
V Garg, W Chang, S Sigtia, S Adya, P Simha, P Dighe, C Dhir
arXiv preprint arXiv:2105.06598, 2021
122021
Low-rank and sparse soft targets to learn better dnn acoustic models
P Dighe, A Asaei, H Bourlard
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
112017
Lattice-based improvements for voice triggering using graph neural networks
P Dighe, S Adya, N Li, S Vishnubhotla, D Naik, A Sagar, Y Ma, S Pulman, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
82020
On quantifying the quality of acoustic models in hybrid DNN-HMM ASR
P Dighe, A Asaei, H Bourlard
Speech Communication 119, 24-35, 2020
82020
Streaming on-device detection of device directed speech from voice and touch-based invocation
OO Rudovic, A Bindal, V Garg, P Simha, P Dighe, S Kajarekar
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
72022
Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling
P Dighe, A Asaei, H Bourlard
Speech Communication 109, 34-45, 2019
72019
Detecting and labeling speakers on overlapping speech using vector taylor series.
P Dighe, M Ferras, H Bourlard
INTERSPEECH, 592-596, 2014
72014
Knowledge transfer for efficient on-device false trigger mitigation
P Dighe, E Marchi, S Vishnubhotla, S Kajarekar, D Naik
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
62021
Leveraging large language models for exploiting asr uncertainty
P Dighe, Y Su, S Zheng, Y Liu, V Garg, X Niu, A Tewfik
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
52024
Device-directed speech detection: Regularization via distillation for weakly-supervised models
V Garg, O Rudovic, P Dighe, AH Abdelaziz, E Marchi, S Adya, C Dhir, ...
arXiv preprint arXiv:2203.15975, 2022
52022
Far-field ASR using low-rank and sparse soft targets from parallel data
P Dighe, A Asaei, H Bourlard
2018 IEEE Spoken Language Technology Workshop (SLT), 581-587, 2018
52018
Exploiting eigenposteriors for semi-supervised training of dnn acoustic models with sequence discrimination
P Dighe, A Asaei, H Bourlard
Proceedings of Interspeech, 3552-3556, 2017
52017
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