most citedAnalyzing Robustness of End-to-End Neural Models for Automatic Speech Recognition

1 citations · 1 across the 3 of their papers we have counts for

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2 papers

cs.CL2022★ 1 cited

Analyzing Robustness of End-to-End Neural Models for Automatic Speech Recognition

Goutham Rajendran, Wei Zou

We investigate robustness properties of pre-trained neural models for automatic speech recognition. Real life data in machine learning is usually very noisy and almost never clean,…

cs.SD2022

Audio-Visual Wake Word Spotting System For MISP Challenge 2021

Yanguang Xu, Jianwei Sun, Yang Han +7

This paper presents the details of our system designed for the Task 1 of Multimodal Information Based Speech Processing (MISP) Challenge 2021. The purpose of Task 1 is to leverage…