In this paper, we propose a single multi-task learning framework to perform End-to-End
(E2E) speech recognition (ASR) and accent recognition (AR) simultaneously. The proposed …

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 …

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 …

This paper describes the AISpeech-SJTU system for the accent identification track of the
Interspeech-2020 Accented English Speech Recognition Challenge. In this challenge track …

Accent variability is an important factor in speech that can significantly degrade automatic
speech recognition performance. We investigate the effect of multiple accents on an English …

In this paper, we develop methods to identify accents of native speakers. Accent
identification differs from other speaker classification tasks because accents may differ in a …

An automatic voice-based classification system of speaker characteristics including age,
gender and accent is presented in this paper. Speakers are grouped according to their …

This chapter describes the types of information that can be used to characterize spoken
languages. Automatic spoken language identification (LID) systems, which are tasked with …

In forensic investigations, it would be helpful to be able to identify a speaker's native
language based on the sound of their speech. Previous research on foreign accent …

Text classification is an important task in the field of natural language processing. The
dimension of the text data is huge for the text documents are usually represented with the …