Deepak Muralidharan
Deepak Muralidharan
Staff Machine Learning Engineer at Apple
Verified email at - Homepage
Cited by
Cited by
Knowledge-based framework for improving natural language understanding
L Li, D Muralidharan, X Yang, KAO Justine, LC VISWANATHAN, ...
US Patent 10,733,375, 2020
Named entity normalization in a spoken dialog system
X Yang, D Muralidharan, KAO Justine, L Li, MAS IBRAHIM, JG KEESLING, ...
US Patent 10,839,159, 2020
Speaker Verification Using Short Utterances with DNN-Based Estimation of Subglottal Acoustic Features.
J Guo, G Yeung, D Muralidharan, H Arsikere, A Afshan, A Alwan
INTERSPEECH, 2219-2222, 2016
Leveraging user engagement signals for entity labeling in a virtual assistant
D Muralidharan, J Kao, X Yang, L Li, L Viswanathan, MS Ibrahim, ...
arXiv preprint arXiv:1909.09143, 2019
Noise robust named entity understanding for voice assistants
D Muralidharan, JRA Moniz, S Gao, X Yang, J Kao, S Pulman, A Kothari, ...
arXiv preprint arXiv:2005.14408, 2020
Noise-robust Named Entity Understanding for Virtual Assistants
D Muralidharan, JR Moniz, S Gao, X Yang, L Li, J Kao, S Pulman, ...
Obtenido de arXiv. org: https://arxiv. org/abs, 2005
Interpreting spoken requests
SUN Qiwei, G Aneja, X Di, WPL Li, D Muralidharan
US Patent 11,423,908, 2022
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants
D Muralidharan, JRA Moniz, W Zhang, S Pulman, L Li, M Barnes, J Pan, ...
arXiv preprint arXiv:2108.06633, 2021
The system can't perform the operation now. Try again later.
Articles 1–8