Consumer speech recognition systems do not work as well for many people with speech
differences, such as stuttering, relative to the rest of the general population. However, what …

Virtual assistants are becoming increasingly important speech-driven Information Retrieval
platforms that assist users with various tasks. We discuss open problems and challenges …

Dysfluencies and variations in speech pronunciation can severely degrade speech
recognition performance, and for many individuals with moderate-to-severe speech …

Virtual assistants make use of automatic speech recognition (ASR) to help users answer
entity-centric queries. However, spoken entity recognition is a difficult problem, due to the …

Virtual Assistants (VAs) are important Information Retrieval platforms that help users
accomplish various tasks through spoken commands. The speech recognition system …

Automatic speech recognition (ASR) is an essential technique of human–computer
interactions; gain control is a commonly used operation in ASR. However, inappropriate …

We study model pruning methods applied to Transformer-based neural network language
models for automatic speech recognition. We explore three aspects of the pruning frame …

Voice assistants increasingly use on-device Automatic Speech Recognition (ASR) to ensure
speed and privacy. However, due to resource constraints on the device, queries pertaining …

Fast-paced and ever-growing advances in Artificial Intelligence (AI) and Deep Neural
Network (DNN) models have initiated works on autonomous monitoring/screening systems …

Fast-paced and ever-growing advances in Artificial Intelligence (AI) and Deep Neural
Network (DNN) models have initiated works on autonomous monitoring/screening systems …