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2020 – today
- 2024
[j3]Minsik Cho
, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal:
eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. IEEE Comput. Archit. Lett. 23(1): 37-40 (2024)- [c21]Kumari Nishu, Minsik Cho, Paul Dixon, Devang Naik:
Flexible Keyword Spotting Based on Homogeneous Audio-Text Embedding. ICASSP 2024: 5050-5054 - [c20]Alexandre Bittar, Paul Dixon, Mohammad Samragh, Kumari Nishu, Devang Naik:
Improving Vision-Inspired Keyword Spotting Using Dynamic Module Skipping in Streaming Conformer Encoder. ICASSP 2024: 10386-10390 - [c19]Minsik Cho, Mohammad Rastegari, Devang Naik:
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. ICML 2024 - [i21]Minsik Cho, Mohammad Rastegari, Devang Naik:
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. CoRR abs/2405.05329 (2024) - [i20]Arnav Kundu, Prateeth Nayak, Hywel Richards, Priyanka Padmanabhan, Devang Naik:
RepCNN: Micro-sized, Mighty Models for Wakeword Detection. CoRR abs/2406.02652 (2024) - [i19]Arnav Kundu, Yanzi Jin, Mohammad Hossein Sekhavat, Maxwell Horton, Danny Tormoen, Devang Naik:
An Efficient and Streaming Audio Visual Active Speaker Detection System. CoRR abs/2409.09018 (2024) - [i18]Kumari Nishu, Minsik Cho, Devang Naik:
SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting. CoRR abs/2409.09067 (2024) - [i17]Mohammad Samragh, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar:
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. CoRR abs/2409.12903 (2024) - 2023
- [c18]Arnav Kundu, Mohammad Samragh, Minsik Cho, Priyanka Padmanabhan, Devang Naik:
HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words. ICASSP 2023: 1-5 - [c17]Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik:
I See What You Hear: A Vision-Inspired Method to Localize Words. ICASSP 2023: 1-5 - [c16]Kumari Nishu, Minsik Cho, Devang Naik:
Matching Latent Encoding for Audio-Text based Keyword Spotting. INTERSPEECH 2023: 1613-1617 - [c15]Minsik Cho, Saurabh Adya, Devang Naik:
PDP: Parameter-free Differentiable Pruning is All You Need. NeurIPS 2023 - [i16]Minsik Cho, Saurabh Adya, Devang Naik:
PDP: Parameter-free Differentiable Pruning is All You Need. CoRR abs/2305.11203 (2023) - [i15]Kumari Nishu, Minsik Cho, Devang Naik:
Matching Latent Encoding for Audio-Text based Keyword Spotting. CoRR abs/2306.05245 (2023) - [i14]Kumari Nishu, Minsik Cho, Paul Dixon, Devang Naik:
Flexible Keyword Spotting based on Homogeneous Audio-Text Embedding. CoRR abs/2308.06472 (2023) - [i13]Alexandre Bittar, Paul Dixon, Mohammad Samragh, Kumari Nishu, Devang Naik:
Improving vision-inspired keyword spotting using dynamic module skipping in streaming conformer encoder. CoRR abs/2309.00140 (2023) - [i12]Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal:
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models. CoRR abs/2309.00964 (2023) - [i11]Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Fartash Faghri, Devang Naik, Oncel Tuzel, Mohammad Rastegari:
Weight subcloning: direct initialization of transformers using larger pretrained ones. CoRR abs/2312.09299 (2023) - 2022
- [i10]Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik:
I see what you hear: a vision-inspired method to localize words. CoRR abs/2210.13567 (2022) - [i9]Arnav Kundu, Mohammad Samragh Razlighi, Minsik Cho, Priyanka Padmanabhan, Devang Naik:
HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words. CoRR abs/2210.15425 (2022) - 2021
- [c14]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 - [c13]Pranay Dighe, Erik Marchi, Srikanth Vishnubhotla, Sachin Kajarekar, Devang Naik:
Knowledge Transfer for Efficient on-Device False Trigger Mitigation. ICASSP 2021: 6838-6842 - [c12]Zakaria Aldeneh, Anushree Prasanna Kumar, Barry-John Theobald, Erik Marchi, Sachin Kajarekar, Devang Naik, Ahmed Hussen Abdelaziz:
On The Role of Visual Cues in Audiovisual Speech Enhancement. ICASSP 2021: 8423-8427 - 2020
- [j2]Jason Wung, Ante Jukic, Sarmad Malik, Mehrez Souden, Ramin Pichevar, Joshua Atkins, Devang Naik, Alex Acero:
Robust Multichannel Linear Prediction for Online Speech Dereverberation Using Weighted Householder Least Squares Lattice Adaptive Filter. IEEE Trans. Signal Process. 68: 3559-3574 (2020) - [j1]Sarmad Malik, Jason Wung, Joshua Atkins, Devang Naik:
Double-Talk Robust Multichannel Acoustic Echo Cancellation Using Least-Squares MIMO Adaptive Filtering: Transversal, Array, and Lattice Forms. IEEE Trans. Signal Process. 68: 4887-4902 (2020) - [c11]Siddharth Sigtia, Erik Marchi, Sachin Kajarekar, Devang Naik, John Bridle:
Multi-Task Learning for Speaker Verification and Voice Trigger Detection. ICASSP 2020: 6844-6848 - [c10]Vasudha Kowtha, Vikramjit Mitra, Chris Bartels, Erik Marchi, Sue Booker, William Caruso, Sachin Kajarekar, Devang Naik:
Detecting Emotion Primitives from Speech and Their Use in Discerning Categorical Emotions. ICASSP 2020: 7164-7168 - [c9]Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason D. Williams:
Lattice-Based Improvements for Voice Triggering Using Graph Neural Networks. ICASSP 2020: 7459-7463 - [c8]Rishika Agarwal, Xiaochuan Niu, Pranay Dighe, Srikanth Vishnubhotla, Sameer Badaskar, Devang Naik:
Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation. INTERSPEECH 2020: 4288-4292 - [i8]Siddharth Sigtia, Erik Marchi, Sachin Kajarekar, Devang Naik, John Bridle:
Multi-task Learning for Speaker Verification and Voice Trigger Detection. CoRR abs/2001.10816 (2020) - [i7]Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason D. Williams:
Lattice-based Improvements for Voice Triggering Using Graph Neural Networks. CoRR abs/2001.10822 (2020) - [i6]Vasudha Kowtha, Vikramjit Mitra, Chris Bartels, Erik Marchi, Sue Booker, William Caruso, Sachin Kajarekar, Devang Naik:
Detecting Emotion Primitives from Speech and their use in discerning Categorical Emotions. CoRR abs/2002.01323 (2020) - [i5]Zakaria Aldeneh, Anushree Prasanna Kumar, Barry-John Theobald, Erik Marchi, Sachin Kajarekar, Devang Naik, Ahmed Hussen Abdelaziz:
Self-supervised Learning of Visual Speech Features with Audiovisual Speech Enhancement. CoRR abs/2004.12031 (2020) - [i4]Rishika Agarwal, Xiaochuan Niu, Pranay Dighe, Srikanth Vishnubhotla, Sameer Badaskar, Devang Naik:
Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation. CoRR abs/2008.08113 (2020) - [i3]Pranay Dighe, Erik Marchi, Srikanth Vishnubhotla, Sachin Kajarekar, Devang Naik:
Knowledge Transfer for Efficient On-device False Trigger Mitigation. CoRR abs/2010.10591 (2020) - [i2]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)
2010 – 2019
- 2019
- [c7]Vikramjit Mitra, Sue Booker, Erik Marchi, David Scott Farrar, Ute Dorothea Peitz, Bridget Cheng, Ermine Teves, Anuj Mehta, Devang Naik:
Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice. INTERSPEECH 2019: 1651-1655 - [c6]Qiong Hu, Erik Marchi, David Winarsky, Yannis Stylianou, Devang Naik, Sachin Kajarekar:
Neural Text-to-Speech Adaptation from Low Quality Public Recordings. SSW 2019: 24-28 - [i1]Vikramjit Mitra, Sue Booker, Erik Marchi, David Scott Farrar, Ute Dorothea Peitz, Bridget Cheng, Ermine Teves, Anuj Mehta, Devang Naik:
Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice. CoRR abs/1907.00112 (2019)
2000 – 2009
- 2001
- [c5]Jerome R. Bellegarda, Devang Naik, Matthias Neeracher, Kim E. A. Silverman:
Language-independent, short-enrollment voice verification over a far-field microphone. ICASSP 2001: 445-448
1990 – 1999
- 1999
- [c4]Kim E. A. Silverman, Victoria Anderson, Jerome R. Bellegarda, Kevin A. Lenzo, Devang Naik:
Design and ccollection of a corpus of polyphones and prosodic contexts for speech synthesis research and development. EUROSPEECH 1999: 2707-2708 - 1997
- [c3]Devang Naik:
Using talker location to detect spurious utterances in desktop command and control. ICASSP 1997: 3265-3268 - 1996
- [c2]Jerome R. Bellegarda, John W. Butzberger, Yen-Lu Chow, Noah B. Coccaro, Devang Naik:
A novel word clustering algorithm based on latent semantic analysis. ICASSP 1996: 172-175 - 1995
- [c1]Devang Naik:
Pole-filtered cepstral mean subtraction. ICASSP 1995: 157-160
Coauthor Index
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