Major progress is being recorded regularly on both the technology and exploitation of
automatic speech recognition (ASR) and spoken language systems. However, there are still …

This is the first of a two-part series devoted to review the current state of the art of automatic
voice condition analysis systems. The goal of this paper is to provide to the scientific …

The variety and complexity of accents pose a huge challenge to robust Automatic Speech
Recognition (ASR). Some previous work has attempted to address such problems, however …

Research in Arabic automatic speech recognition (ASR) is constrained by datasets of limited
size, and of highly variable content and quality. Arabic-language resources vary in the …

It is well known that speaker variability caused by accent is an important factor io speech
recognition. Some major accents in China are so different as to make this problem very …

Automatic Speech Recognition (ASR) systems generalize poorly on accented speech. The
phonetic and linguistic variability of accents present hard challenges for ASR systems today …

This paper addresses accent 1 issues in large vocabulary continuous speech recognition.
Cross-accent experiments show that the accent problem is very dominant in speech …

In this work, we present a detailed analysis of how accent information is reflected in the
internal representation of speech in an end-to-end automatic speech recognition (ASR) …

A major challenge in Automatic Speech Recognition (ASR) systems is to handle speech
from a diverse set of accents. A model trained using a single accent performs rather poorly …

Abstract Conventional Automatic Speech Recognition (ASR) systems are susceptible to
dialect variations within a language, thereby adversely affecting the ASR. Therefore, the …