Anmol Gulati

According to our database1, Anmol Gulati authored at least 15 papers between 2017 and 2023.

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Bibliography

2023
Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR.
CoRR, 2023

2022
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition.
IEEE J. Sel. Top. Signal Process., 2022


2021
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training.
CoRR, 2021

Scaling End-to-End Models for Large-Scale Multilingual ASR.
CoRR, 2021

An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling.
Proceedings of the 9th International Conference on Learning Representations, 2021

FastEmit: Low-Latency Streaming ASR with Sequence-Level Emission Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dynamic Sparsity Neural Networks for Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Better and Faster end-to-end Model for Streaming ASR.
Proceedings of the IEEE International Conference on Acoustics, 2021

Scaling End-to-End Models for Large-Scale Multilingual ASR.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling.
CoRR, 2020

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Conformer: Convolution-augmented Transformer for Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2017
Playing with Embeddings : Evaluating embeddings for Robot Language Learning through MUD Games.
Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, 2017


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