Devang Naik

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 36

Top Topics

Printed Documents

Keyword Spotting

Speech Enhancement

Highly Efficient

Top Venues

IEEE Trans. Signal Process.

Publications

Minsik Cho, Mohammad Rastegari, Devang Naik
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. CoRR (2024)
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) (2024)
Arnav Kundu, Prateeth Nayak, Hywel Richards, Priyanka Padmanabhan, Devang Naik
RepCNN: Micro-sized, Mighty Models for Wakeword Detection. CoRR (2024)
Kumari Nishu, Minsik Cho, Paul Dixon, Devang Naik
Flexible Keyword Spotting Based on Homogeneous Audio-Text Embedding. ICASSP (2024)
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)
Alexandre Bittar, Paul Dixon, Mohammad Samragh, Kumari Nishu, Devang Naik
Improving vision-inspired keyword spotting using dynamic module skipping in streaming conformer encoder. CoRR (2023)
Kumari Nishu, Minsik Cho, Devang Naik
Matching Latent Encoding for Audio-Text based Keyword Spotting. CoRR (2023)
Minsik Cho, Saurabh Adya, Devang Naik
PDP: Parameter-free Differentiable Pruning is All You Need. CoRR (2023)
Minsik Cho, Saurabh Adya, Devang Naik
PDP: Parameter-free Differentiable Pruning is All You Need. NeurIPS (2023)
Kumari Nishu, Minsik Cho, Devang Naik
Matching Latent Encoding for Audio-Text based Keyword Spotting. INTERSPEECH (2023)
Arnav Kundu, Mohammad Samragh, Minsik Cho, Priyanka Padmanabhan, Devang Naik
HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words. ICASSP (2023)
Kumari Nishu, Minsik Cho, Paul Dixon, Devang Naik
Flexible Keyword Spotting based on Homogeneous Audio-Text Embedding. CoRR (2023)
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)
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 (2023)
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 (2023)
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 (2022)
Arnav Kundu, Mohammad Samragh Razlighi, Minsik Cho, Priyanka Padmanabhan, Devang Naik
HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words. CoRR (2022)
Pranay Dighe, Erik Marchi, Srikanth Vishnubhotla, Sachin Kajarekar, Devang Naik
Knowledge Transfer for Efficient on-Device False Trigger Mitigation. ICASSP (2021)
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)
Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel
Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric. ICASSP (2021)
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)
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)
Pranay Dighe, Erik Marchi, Srikanth Vishnubhotla, Sachin Kajarekar, Devang Naik
Knowledge Transfer for Efficient On-device False Trigger Mitigation. CoRR (2020)
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 (2020)
Siddharth Sigtia, Erik Marchi, Sachin Kajarekar, Devang Naik, John Bridle
Multi-Task Learning for Speaker Verification and Voice Trigger Detection. ICASSP (2020)
Rishika Agarwal, Xiaochuan Niu, Pranay Dighe, Srikanth Vishnubhotla, Sameer Badaskar, Devang Naik
Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation. CoRR (2020)
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 (2020)
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)
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 (2020)
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 (2020)
Siddharth Sigtia, Erik Marchi, Sachin Kajarekar, Devang Naik, John Bridle
Multi-task Learning for Speaker Verification and Voice Trigger Detection. CoRR (2020)
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 (2020)
Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel
Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric. CoRR (2020)
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 (2019)
Qiong Hu, Erik Marchi, David Winarsky, Yannis Stylianou, Devang Naik, Sachin Kajarekar
Neural Text-to-Speech Adaptation from Low Quality Public Recordings. SSW (2019)
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)
Jerome R. Bellegarda, Devang Naik, Matthias Neeracher, Kim E. A. Silverman
Language-independent, short-enrollment voice verification over a far-field microphone. ICASSP (2001)
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)
Devang Naik
Using talker location to detect spurious utterances in desktop command and control. ICASSP (1997)
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)
Devang Naik
Pole-filtered cepstral mean subtraction. ICASSP (1995)