In noisy conditions, knowing speech contents facilitates listeners to more effectively
suppress background noise components and to retrieve pure speech signals. Previous …

Speech enhancement has seen great improvement in recent years using end-to-end neural
networks. However, most models are agnostic to the spoken phonetic content. Recently …

Speaker adaptation has been widely studied to solve the mismatch between training and
test conditions for end-to-end automatic speech recognition (ASR). A key challenge of …

A cochlear implant (CI) is a medical device that aims to restore sound perception and
speech intelligibility to individuals with profound sensorineural hearing loss. CIs mimic the …

Enhancing speech quality and intelligibility for automatic speech recognition (ASR) plays an
important role in modeling speech enhancement (SE) systems. However, improving the ASR …

In real-world applications, a preferred personalized automatic speech recognition (ASR)
model should exhibit robust recognition capabilities that include both personalization and …