Search Results for author: Ashish Mittal

Found 7 papers, 3 papers with code

Soft Random Sampling: A Theoretical and Empirical Analysis

no code implementations21 Nov 2023 Xiaodong Cui, Ashish Mittal, Songtao Lu, Wei zhang, George Saon, Brian Kingsbury

Soft random sampling (SRS) is a simple yet effective approach for efficient training of large-scale deep neural networks when dealing with massive data.

Automatic Speech Recognition speech-recognition +1

Improving RNN-Transducers with Acoustic LookAhead

no code implementations11 Jul 2023 Vinit S. Unni, Ashish Mittal, Preethi Jyothi, Sunita Sarawagi

RNN-Transducers (RNN-Ts) have gained widespread acceptance as an end-to-end model for speech to text conversion because of their high accuracy and streaming capabilities.

Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training

no code implementations30 Oct 2022 Ashish Mittal, Durga Sivasubramanian, Rishabh Iyer, Preethi Jyothi, Ganesh Ramakrishnan

Training state-of-the-art ASR systems such as RNN-T often has a high associated financial and environmental cost.

Unified Semantic Parsing with Weak Supervision

1 code implementation ACL 2019 Priyanka Agrawal, Parag Jain, Ayushi Dalmia, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan

Semantic parsing over multiple knowledge bases enables a parser to exploit structural similarities of programs across the multiple domains.

Semantic Parsing

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