Saurabh Adya

According to our database, Saurabh Adya authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Multimodal Large Language Models with Fusion Low Rank Adaptation for Device Directed Speech Detection.

Shruti Palaskar, Oggi Rudovic, Sameer Dharur, Florian Pesce, Gautam Krishna, Aswin Sivaraman, Jack Berkowitz, Ahmed Hussen Abdelaziz, Saurabh Adya, Ahmed H. Tewfik

CoRR, 2024

Comparative Analysis of Personalized Voice Activity Detection Systems: Assessing Real-World Effectiveness.

Satyam Kumar, Sai Srujana Buddi, Utkarsh Oggy Sarawgi, Vineet Garg, Shivesh Ranjan, Ognjen Rudovic, Ahmed Hussen Abdelaziz, Saurabh Adya

CoRR, 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

Streaming Anchor Loss: Augmenting Supervision with Temporal Significance.

Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg, Arnav Kundu, Minsik Cho, Sai Srujana Buddi, Saurabh Adya, Ahmed H. Tewfik

Proceedings of the IEEE International Conference on Acoustics, 2024

Modality Drop-Out for Multimodal Device Directed Speech Detection Using Verbal and Non-Verbal Features.

Gautam Krishna, Sameer Dharur, Oggi Rudovic, Pranay Dighe, Saurabh Adya, Ahmed Hussen Abdelaziz, Ahmed H. Tewfik

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Modality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features.

Gautam Krishna, Sameer Dharur, Oggi Rudovic, Pranay Dighe, Saurabh Adya, Ahmed Hussen Abdelaziz, Ahmed H. Tewfik

CoRR, 2023

R^2: Range Regularization for Model Compression and Quantization.

Arnav Kundu, Chungkuk Yoo, Srijan Mishra, Minsik Cho, Saurabh Adya

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

Efficient Multimodal Neural Networks for Trigger-less Voice Assistants.

Sai Srujana Buddi, Utkarsh Oggy Sarawgi, Tashweena Heeramun, Karan Sawnhey, Ed Yanosik, Saravana Rathinam, Saurabh Adya

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Less Is More: A Unified Architecture for Device-Directed Speech Detection with Multiple Invocation Types.

Oggi Rudovic, Wonil Chang, Vineet Garg, Pranay Dighe, Pramod Simha, Jack Berkowitz, Ahmed Hussen Abdelaziz, Sachin Kajarekar, Erik Marchi, Saurabh Adya

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Improving Voice Trigger Detection with Metric Learning.

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

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models.

Vineet Garg, Ognjen Rudovic, Pranay Dighe, Ahmed Hussen Abdelaziz, Erik Marchi, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

DKM: Differentiable k-Means Clustering Layer for Neural Network Compression.

Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation.

Vineet Garg, Wonil Chang, Siddharth Sigtia, Saurabh Adya, Pramod Simha, Pranay Dighe, Chandra Dhir

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering.

Saurabh Adya, Vineet Garg, Siddharth Sigtia, Pramod Simha, Chandra Dhir

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 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

2018

Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training.

Saurabh Adya, Vinay Palakkode, Oncel Tuzel

CoRR, 2018

Democratizing Production-Scale Distributed Deep Learning.

Minghuang Ma, Hadi Pouransari, Daniel Chao, Saurabh Adya, Santiago Akle Serrano, Yi Qin, Dan Gimnicher, Dominic Walsh

CoRR, 2018