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Prashant Sridhar
Prashant Sridhar
ASAPP
Adresă de e-mail confirmată pe asapp.com
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Voicefilter: Targeted voice separation by speaker-conditioned spectrogram masking
Q Wang, H Muckenhirn, K Wilson, P Sridhar, Z Wu, J Hershey, ...
arXiv preprint arXiv:1810.04826, 2018
4392018
E-branchformer: Branchformer with enhanced merging for speech recognition
K Kim, F Wu, Y Peng, J Pan, P Sridhar, KJ Han, S Watanabe
2022 IEEE Spoken Language Technology Workshop (SLT), 84-91, 2023
962023
Improving Keyword Spotting and Language Identification via Neural Architecture Search at Scale.
H Mazzawi, X Gonzalvo, A Kracun, P Sridhar, N Subrahmanya, ...
Interspeech, 1278-1282, 2019
452019
Structured pruning of self-supervised pre-trained models for speech recognition and understanding
Y Peng, K Kim, F Wu, P Sridhar, S Watanabe
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
282023
Tuplemax loss for language identification
L Wan, P Sridhar, Y Yu, Q Wang, IL Moreno
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
252019
A comparative study on e-branchformer vs conformer in speech recognition, translation, and understanding tasks
Y Peng, K Kim, F Wu, B Yan, S Arora, W Chen, J Tang, S Shon, P Sridhar, ...
arXiv preprint arXiv:2305.11073, 2023
152023
Multi-mode transformer transducer with stochastic future context
K Kim, F Wu, P Sridhar, KJ Han, S Watanabe
arXiv preprint arXiv:2106.09760, 2021
92021
Context-aware fine-tuning of self-supervised speech models
S Shon, F Wu, K Kim, P Sridhar, K Livescu, S Watanabe
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
62023
Improving ASR Contextual Biasing with Guided Attention
J Tang, K Kim, S Shon, F Wu, P Sridhar
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
52024
Voicefilter: Targeted voice separation by speaker-conditioned spectrogram masking
HR Muckenhirn, IL Moreno, J Hershey, K Wilson, P Sridhar, Q Wang, ...
conference of the international speech communication association, 2019
52019
Targeted voice separation by speaker conditioned on spectrogram masking
Q Wang, P Sridhar, IL Moreno, H Muckenhirn
US Patent 11,217,254, 2022
42022
An experimental study into spectral and geometric approaches to data clustering
P Sridhar
Master’s thesis, Carnegie Mellon University, 2015
42015
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding
S Shon, K Kim, YT Hsu, P Sridhar, S Watanabe, K Livescu
arXiv preprint arXiv:2406.09345, 2024
32024
Targeted voice separation by speaker conditioned on spectrogram masking
Q Wang, P Sridhar, IL Moreno, H Muckenhirn
US Patent 11,922,951, 2024
22024
Generative Context-Aware Fine-Tuning of Self-Supervised Speech Models
S Shon, K Kim, P Sridhar, YT Hsu, S Watanabe, K Livescu
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
12024
Targeted voice separation by speaker conditioned on spectrogram masking
Q Wang, P Sridhar, IL Moreno, H Muckenhim
US Patent App. 18/594,833, 2024
2024
Convolution-Augmented Parameter-Efficient Fine-Tuning for Speech Recognition
K Kim, S Shon, YT Hsu, P Sridhar, K Livescu, S Watanabe
Proc. Interspeech 2024, 2830-2834, 2024
2024
Training and/or using a language selection model for automatically determining language for speech recognition of spoken utterance
L Wan, Y Yu, P Sridhar, IL Moreno, Q Wang
US Patent 11,646,011, 2023
2023
Stochastic future context for speech processing
KIM Kwangyoun, F Wu, P Sridhar, KJ Han
US Patent App. 17/530,139, 2022
2022
Training and/or using a language selection model for automatically determining language for speech recognition of spoken utterance
L Wan, Y Yu, P Sridhar, IL Moreno, Q Wang
US Patent 11,410,641, 2022
2022
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