Devang Naik

According to our database, Devang Naik authored at least 25 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models.

Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. Del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal

IEEE Comput. Archit. Lett., 2024

2023

Weight subcloning: direct initialization of transformers using larger pretrained ones.

Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Fartash Faghri, Devang Naik, Oncel Tuzel, Mohammad Rastegari

CoRR, 2023

Improving vision-inspired keyword spotting using dynamic module skipping in streaming conformer encoder.

Alexandre Bittar, Paul Dixon, Mohammad Samragh, Kumari Nishu, Devang Naik

CoRR, 2023

Flexible Keyword Spotting based on Homogeneous Audio-Text Embedding.

Kumari Nishu, Minsik Cho, Paul Dixon, Devang Naik

CoRR, 2023

Matching Latent Encoding for Audio-Text based Keyword Spotting.

Kumari Nishu, Minsik Cho, Devang Naik

CoRR, 2023

PDP: Parameter-free Differentiable Pruning is All You Need.

Minsik Cho, Saurabh Adya, Devang Naik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

I See What You Hear: A Vision-Inspired Method to Localize Words.

Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik

Proceedings of the IEEE International Conference on Acoustics, 2023

HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words.

Arnav Kundu, Mohammad Samragh, Minsik Cho, Priyanka Padmanabhan, Devang Naik

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

I see what you hear: a vision-inspired method to localize words.

Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik

CoRR, 2022

2021

Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric.

Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel

Proceedings of the IEEE International Conference on Acoustics, 2021

Knowledge Transfer for Efficient on-Device False Trigger Mitigation.

Pranay Dighe, Erik Marchi, Srikanth Vishnubhotla, Sachin Kajarekar, Devang Naik

Proceedings of the IEEE International Conference on Acoustics, 2021

On The Role of Visual Cues in Audiovisual Speech Enhancement.

Zakaria Aldeneh, Anushree Prasanna Kumar, Barry-John Theobald, Erik Marchi, Sachin Kajarekar, Devang Naik, Ahmed Hussen Abdelaziz

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Robust Multichannel Linear Prediction for Online Speech Dereverberation Using Weighted Householder Least Squares Lattice Adaptive Filter.

Jason Wung, Ante Jukic, Sarmad Malik, Mehrez Souden, Ramin Pichevar, Joshua Atkins, Devang Naik, Alex Acero

IEEE Trans. Signal Process., 2020

Double-Talk Robust Multichannel Acoustic Echo Cancellation Using Least-Squares MIMO Adaptive Filtering: Transversal, Array, and Lattice Forms.

Sarmad Malik, Jason Wung, Joshua Atkins, Devang Naik

IEEE Trans. Signal Process., 2020

Self-supervised Learning of Visual Speech Features with Audiovisual Speech Enhancement.

Zakaria Aldeneh, Anushree Prasanna Kumar, Barry-John Theobald, Erik Marchi, Sachin Kajarekar, Devang Naik, Ahmed Hussen Abdelaziz

CoRR, 2020

Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation.

Rishika Agarwal, Xiaochuan Niu, Pranay Dighe, Srikanth Vishnubhotla, Sameer Badaskar, Devang Naik

Proceedings of the Interspeech 2020, 2020

Multi-Task Learning for Speaker Verification and Voice Trigger Detection.

Siddharth Sigtia, Erik Marchi, Sachin Kajarekar, Devang Naik, John Bridle

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Detecting Emotion Primitives from Speech and Their Use in Discerning Categorical Emotions.

Vasudha Kowtha, Vikramjit Mitra, Chris Bartels, Erik Marchi, Sue Booker, William Caruso, Sachin Kajarekar, Devang Naik

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Lattice-Based Improvements for Voice Triggering Using Graph Neural Networks.

Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason D. Williams

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice.

Vikramjit Mitra, Sue Booker, Erik Marchi, David Scott Farrar, Ute Dorothea Peitz, Bridget Cheng, Ermine Teves, Anuj Mehta, Devang Naik

Proceedings of the Interspeech 2019, 2019

2001

Language-independent, short-enrollment voice verification over a far-field microphone.

Jerome R. Bellegarda, Devang Naik, Matthias Neeracher, Kim E. A. Silverman

Proceedings of the IEEE International Conference on Acoustics, 2001

1999

Design and ccollection of a corpus of polyphones and prosodic contexts for speech synthesis research and development.

Kim E. A. Silverman, Victoria Anderson, Jerome R. Bellegarda, Kevin A. Lenzo, Devang Naik

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

1997

Using talker location to detect spurious utterances in desktop command and control.

Devang Naik

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996

A novel word clustering algorithm based on latent semantic analysis.

Jerome R. Bellegarda, John W. Butzberger, Yen-Lu Chow, Noah B. Coccaro, Devang Naik

Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995

Pole-filtered cepstral mean subtraction.

Devang Naik

Proceedings of the 1995 International Conference on Acoustics, 1995