In this paper, we propose a novel approach to automatic recognition of code-switching
speech. The proposed method consists of two phases: automatic speech recognition, and …

Accent is a major cause of variability in automatic speaker-independent speech recognition
systems. Under certain circumstances, this event introduces unsatisfactory performance of …

Accurate phonetic transcriptions are crucial for building robust acoustic models for speech
recognition as well as speech synthesis applications. Phonetic transcriptions are not usually …

Management of program data to reduce false sharing and improve locality is critical for
scaling performance on NUMA multiprocessors. We use HPF-like directives to partition and …

Accent problem is a current issue that degrades the intelligibility and performance of speech
recognition (ASR) systems. Despite English accents have been extensively researched in …

This thesis examines the processing of accented speech in both infants and adults. Accents
provide a natural and reasonably consistent form of inter-speaker variation in the speech …