Visual speech information from the speaker's mouth region has been successfully shown to
improve noise robustness of automatic speech recognizers, thus promising to extend their …

This paper presents the main paradigms for speaker identification, and recent work on
missing data methods to increase robustness. The feature extraction, speaker modeling and …

In this paper we establish rigorous benchmarks for image classifier robustness. Our first
benchmark, ImageNet-C, standardizes and expands the corruption robustness topic, while …

In this paper we establish rigorous benchmarks for image classifier robustness. Our first
benchmark, ImageNet-C, standardizes and expands the corruption robustness topic, while …

We have made significant progress in automatic speech recognition (ASR) for well-defined
applications like dictation and medium vocabulary transaction processing tasks in relatively …

Speech emotion recognition has received an increasing interest in recent years, which is
often conducted on the assumption that speech utterances in training and testing datasets …

Modern neural network architectures use structured linear transformations, such as low-rank
matrices, sparse matrices, permutations, and the Fourier transform, to improve inference …

We have made significant progress in automatic speech recognition ASR for well-defined
applications like dictation and medium vocabulary transaction processing tasks in relatively …

This paper reports results obtained in benchmark tests conducted within the ARPA Spoken
Language program in November and December of 1993. In addition to ARPA contractors …

Cardiac auscultation is an essential point-of-care method used for the early diagnosis of
heart diseases. Automatic analysis of heart sounds for abnormality detection is faced with …