This paper reviews the research approaches used in computer-assisted pronunciation
training (CAPT), addresses the existing challenges, and discusses emerging trends and …

In this work, we analyze phonetic and prosodic pronunciation patterns from iCALL, a speech
corpus designed to evaluate Mandarin mispronunciations by non-native speakers of …

The para-linguistic information in a speech signal includes clues to the geographical and
social background of the speaker. This paper is concerned with recognition of the 14 …

This paper introduces a novel method for identifying Assamese dialects by analyzing the
acoustic and prosodic aspects of vowel sounds in speech signals. The distinctive …

In this paper, investigation of the significance of spectral and prosodic behaviors of speech
signal has been carried out for dialect identification. Spectral features such as cepstral …

The Algerian linguistic situation is very intricate due to the ethnic, geographical and colonial
occupation influences which have lead to a complex sociolinguistic environment. As a result …

In this paper, an automatic dialect identification (ADI) system is proposed by extracting
spectral and prosodic features for Kannada language. A new dialect dataset is collected …

This paper proposes an automated system to identify speaker's regional nativity by
analysing their English speech utterances. A database of English speech of native speakers …

This paper presents a two-pass framework with discriminative acoustic modeling for
mispronunciation detection and diagnoses (MD&D). The first pass of mispronunciation …

This work presents a resource-efficient solution for the spoken dialect recognition task under
semi-open set evaluation scenarios, where a closed set model is exposed to unknown class …