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Chandra Dhir
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2020 – today
- 2023
- [i10]Peter Plantinga, Jaekwon Yoo, Chandra Dhir:
Continual Learning for End-to-End ASR by Averaging Domain Experts. CoRR abs/2305.09681 (2023) - 2022
- [c9]Vineet Garg, Ognjen Rudovic, Pranay Dighe, Ahmed Hussen Abdelaziz, Erik Marchi, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik:
Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models. INTERSPEECH 2022: 1258-1262 - [c8]Prateeth Nayak, Takuya Higuchi, Anmol Gupta, Shivesh Ranjan, Stephen Shum, Siddharth Sigtia, Erik Marchi, Varun Lakshminarasimhan, Minsik Cho, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik:
Improving Voice Trigger Detection with Metric Learning. INTERSPEECH 2022: 1896-1900 - [i9]Vineet Garg, Ognjen Rudovic, Pranay Dighe, Ahmed Hussen Abdelaziz, Erik Marchi, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik:
Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models. CoRR abs/2203.15975 (2022) - [i8]Prateeth Nayak, Takuya Higuchi, Anmol Gupta, Shivesh Ranjan, Stephen Shum, Siddharth Sigtia, Erik Marchi, Varun Lakshminarasimhan, Minsik Cho, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik:
Improving Voice Trigger Detection with Metric Learning. CoRR abs/2204.02455 (2022) - 2021
- [c7]Takuya Higuchi, Anmol Gupta, Chandra Dhir:
Multi-Task Learning with Cross Attention for Keyword Spotting. ASRU 2021: 571-578 - [c6]Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel:
Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric. ICASSP 2021: 4000-4004 - [c5]Takuya Higuchi, Shreyas Saxena, Mehrez Souden, Tien Dung Tran, Masood Delfarah, Chandra Dhir:
Dynamic Curriculum Learning via Data Parameters for Noise Robust Keyword Spotting. ICASSP 2021: 6848-6852 - [c4]Vineet Garg, Wonil Chang, Siddharth Sigtia, Saurabh Adya, Pramod Simha, Pranay Dighe, Chandra Dhir:
Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation. Interspeech 2021: 4209-4213 - [i7]Takuya Higuchi, Shreyas Saxena, Mehrez Souden, Tien Dung Tran, Masood Delfarah, Chandra Dhir:
Dynamic curriculum learning via data parameters for noise robust keyword spotting. CoRR abs/2102.09666 (2021) - [i6]Vineet Garg, Wonil Chang, Siddharth Sigtia, Saurabh Adya, Pramod Simha, Pranay Dighe, Chandra Dhir:
Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation. CoRR abs/2105.06598 (2021) - [i5]Takuya Higuchi, Anmol Gupta, Chandra Dhir:
Multi-task Learning with Cross Attention for Keyword Spotting. CoRR abs/2107.07634 (2021) - 2020
- [c3]Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir:
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. ICASSP 2020: 3267-3271 - [c2]Takuya Higuchi, Mohammad Ghasemzadeh, Kisun You, Chandra Dhir:
Stacked 1D Convolutional Networks for End-to-End Small Footprint Voice Trigger Detection. INTERSPEECH 2020: 2592-2596 - [c1]Saurabh Adya, Vineet Garg, Siddharth Sigtia, Pramod Simha, Chandra Dhir:
Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering. INTERSPEECH 2020: 3351-3355 - [i4]Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir:
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. CoRR abs/2003.06227 (2020) - [i3]Saurabh Adya, Vineet Garg, Siddharth Sigtia, Pramod Simha, Chandra Dhir:
Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering. CoRR abs/2008.02323 (2020) - [i2]Takuya Higuchi, Mohammad Ghasemzadeh, Kisun You, Chandra Dhir:
Stacked 1D convolutional networks for end-to-end small footprint voice trigger detection. CoRR abs/2008.03405 (2020) - [i1]Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel:
Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric. CoRR abs/2011.01151 (2020)
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