The performance of speech recognition systems is consistently poor on non-native speech.
The challenge for non-native speech recognition is to maximize the recognition performance …

A system and method for automatic recognition of foreign speakers by performing analysis of
a speech sample to produce a signal representative thereof and attempting to match the …

With more and more non-native speakers speaking in English, the fast and efficient
adaptation to non-native English speech becomes a practical concern. The performance of …

This paper proposes an English speech recognition system which can recognize both non-
native (ie Japanese) and native English speakers' pronunciation of English speech. The …

Abstract Automatic Speech Recognition (ASR) in reverberant rooms can be improved by
choosing training data from the same acoustical environment as the test data. In a real-world …

In this paper, we review the design of a common phone alphabet for up to fifteen languages
and describe its application in two important components of a seamless multilingual …

Despite various advances in automatic speech recognition (ASR) technology, recognition of
speech uttered by non-native speakers is still a challenging problem. In this paper, we …

In this paper we report on recent progress in the use of multilingual Hidden Markov Models
for the recognition of non-native speech. While we have previously discussed the use of …

La Reconnaissance Automatique de la Parole (RAP) est affectée par les nombreuses
variabilités présentes dans le signal de parole. En dépit de l'utilisation de techniques …

It has been well-recognized that the accent has a great impact on the ASR of Chinese
Mandarin, therefore, how to improve the performance on the accented speech has become …