Zhiyun Lu | DeepAI

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Bo Li
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Vikas Sindhwani
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∙ 09/18/2023

Instruction-Following Speech Recognition

Conventional end-to-end Automatic Speech Recognition (ASR) models primar...

0 Cheng-I Jeff Lai, et al. ∙

∙ 04/22/2022

E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR

Improving the performance of end-to-end ASR models on long utterances ra...

0 W. Ronny Huang, et al. ∙

∙ 01/25/2022

Improving the fusion of acoustic and text representations in RNN-T

The recurrent neural network transducer (RNN-T) has recently become the ...

1 Chao Zhang, et al. ∙

∙ 10/08/2021

Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition

End-to-end models have achieved state-of-the-art results on several auto...

0 Zhiyun Lu, et al. ∙

∙ 04/06/2021

Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models

Although end-to-end automatic speech recognition (e2e ASR) models are wi...

0 Zhiyun Lu, et al. ∙

∙ 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. ∙

∙ 06/13/2020

Uncertainty Estimation with Infinitesimal Jackknife, Its Distribution and Mean-Field Approximation

Uncertainty quantification is an important research area in machine lear...

31 Zhiyun Lu, et al. ∙

∙ 11/21/2019

Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models

In this paper, we propose to use pre-trained features from end-to-end AS...

0 Zhiyun Lu, et al. ∙

∙ 02/01/2019

Hyper-parameter Tuning under a Budget Constraint

We study a budgeted hyper-parameter tuning problem, where we optimize th...

16 Zhiyun Lu, et al. ∙

∙ 01/13/2017

Kernel Approximation Methods for Speech Recognition

We study large-scale kernel methods for acoustic modeling in speech reco...

0 Avner May, et al. ∙

∙ 04/09/2016

Learning Compact Recurrent Neural Networks

Recurrent neural networks (RNNs), including long short-term memory (LSTM...

0 Zhiyun Lu, et al. ∙

∙ 03/18/2016

A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition

We study large-scale kernel methods for acoustic modeling and compare to...

0 Zhiyun Lu, et al. ∙

∙ 11/14/2014

How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets

The computational complexity of kernel methods has often been a major ba...

0 Zhiyun Lu, et al. ∙

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