Arun Narayanan

DeepAI AI Chat

Featured Co-authors

Bo Li
461 publications
Yu Zhang
406 publications
Wei Li
286 publications
Ding Zhao
90 publications
Yonghui Wu
72 publications
Wei Han
71 publications
Quan Wang
68 publications
Tara N. Sainath
66 publications
Rohit Prabhavalkar
49 publications
Zhifeng Chen
47 publications
Ruoming Pang
44 publications

research

∙ 09/14/2022

A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation

Recent work has shown that it is possible to train a single model to per...

0 Tom O'Malley, et al. ∙

research

∙ 05/17/2022

Streaming Noise Context Aware Enhancement For Automatic Speech Recognition in Multi-Talker Environments

One of the most challenging scenarios for smart speakers is multi-talker...

0 Joe Caroselli, et al. ∙

research

∙ 05/06/2022

A Conformer-based Waveform-domain Neural Acoustic Echo Canceller Optimized for ASR Accuracy

Acoustic Echo Cancellation (AEC) is essential for accurate recognition o...

0 Sankaran Panchapagesan, et al. ∙

research

∙ 04/26/2022

Mask scalar prediction for improving robust automatic speech recognition

Using neural network based acoustic frontends for improving robustness o...

0 Arun Narayanan, et al. ∙

research

∙ 04/25/2022

Cleanformer: A microphone array configuration-invariant, streaming, multichannel neural enhancement frontend for ASR

This work introduces the Cleanformer, a streaming multichannel neural ba...

0 Joseph Caroselli, et al. ∙

research

∙ 04/18/2022

Extracting Targeted Training Data from ASR Models, and How to Mitigate It

Recent work has designed methods to demonstrate that model updates in AS...

0 Ehsan Amid, et al. ∙

research

∙ 04/08/2022

Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition

Personalization of on-device speech recognition (ASR) has seen explosive...

0 Shaojin Ding, et al. ∙

research

∙ 11/18/2021

A Conformer-based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation

We present a frontend for improving robustness of automatic speech recog...

0 Tom O'Malley, et al. ∙

research

∙ 11/01/2021

SNRi Target Training for Joint Speech Enhancement and Recognition

This study aims to improve the performance of automatic speech recogniti...

0 Yuma Koizumi, et al. ∙

research

∙ 10/30/2021

Cross-attention conformer for context modeling in speech enhancement for ASR

This work introduces cross-attention conformer, an attention-based archi...

0 Arun Narayanan, et al. ∙

research

∙ 09/21/2021

Home Energy Management Systems: Operation and Resilience of Heuristics against Cyberattacks

Internet of Things (IoT) and advanced communication technologies have de...

0 Hafiz Majid Hussain, et al. ∙

research

∙ 04/28/2021

Personalized Keyphrase Detection using Speaker and Environment Information

In this paper, we introduce a streaming keyphrase detection system that ...

0 Rajeev Rikhye, et al. ∙

research

∙ 02/01/2021

Virtual Microgrid Management via Software-defined Energy Network for Electricity Sharing

Digitalization has led to radical changes in the distribution of goods a...

0 Pedro H. J. Nardelli, et al. ∙

research

∙ 12/12/2020

Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging

End-to-end models that condition the output label sequence on all previo...

5 Rohit Prabhavalkar, et al. ∙

research

∙ 11/21/2020

A Better and Faster End-to-End Model for Streaming ASR

End-to-end (E2E) models have shown to outperform state-of-the-art conven...

0 Bo Li, et al. ∙

research

∙ 10/27/2020

Cascaded encoders for unifying streaming and non-streaming ASR

End-to-end (E2E) automatic speech recognition (ASR) models, by now, have...

0 Arun Narayanan, et al. ∙

research

∙ 10/22/2020

Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data

Streaming end-to-end automatic speech recognition (ASR) models are widel...

0 Thibault Doutre, et al. ∙

research

∙ 10/21/2020

FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization

Streaming automatic speech recognition (ASR) aims to emit each hypothesi...

5 Jiahui Yu, et al. ∙

research

∙ 08/10/2020

From private to public governance: The case for reconfiguring energy systems as a commons

The discussions around the unsustainability of the dominant socio-econom...

0 Chris Giotitsas, et al. ∙

research

∙ 05/07/2020

RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions

In recent years, all-neural end-to-end approaches have obtained state-of...

0 Chung-Cheng Chiu, et al. ∙

research

∙ 03/28/2020

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency

Thus far, end-to-end (E2E) models have not been shown to outperform stat...

0 Tara N. Sainath, et al. ∙

research

∙ 11/06/2019

A comparison of end-to-end models for long-form speech recognition

End-to-end automatic speech recognition (ASR) models, including both att...

0 Chung-Cheng Chiu, et al. ∙

research

∙ 10/24/2019

Recognizing long-form speech using streaming end-to-end models

All-neural end-to-end (E2E) automatic speech recognition (ASR) systems t...

0 Arun Narayanan, et al. ∙

research

∙ 09/24/2018

From Audio to Semantics: Approaches to end-to-end spoken language understanding

Conventional spoken language understanding systems consist of two main c...

0 Parisa Haghani, et al. ∙

research

∙ 08/16/2018

Toward domain-invariant speech recognition via large scale training

Current state-of-the-art automatic speech recognition systems are traine...

0 Arun Narayanan, et al. ∙

research

∙ 12/09/2017

Efficient Implementation of the Room Simulator for Training Deep Neural Network Acoustic Models

In this paper, we describe how to efficiently implement an acoustic room...

0 Chanwoo Kim, et al. ∙

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