Computer-assisted pronunciation training: From pronunciation scoring towards spoken language learning
This paper reviews the research approaches used in computer-assisted pronunciation
training (CAPT), addresses the existing challenges, and discusses emerging trends and …
training (CAPT), addresses the existing challenges, and discusses emerging trends and …
[HTML][HTML] Large-scale characterization of non-native Mandarin Chinese spoken by speakers of European origin: Analysis on iCALL
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 …
corpus designed to evaluate Mandarin mispronunciations by non-native speakers of …
[PDF][PDF] Identification of British English regional accents using fusion of i-vector and multi-accent phonotactic systems.
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 …
social background of the speaker. This paper is concerned with recognition of the 14 …
Dialect identification using spectral and prosodic features on single and ensemble classifiers
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 …
signal has been carried out for dialect identification. Spectral features such as cepstral …
Addressing the semi-open set dialect recognition problem under resource-efficient considerations
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 …
semi-open set evaluation scenarios, where a closed set model is exposed to unknown class …
Algerian Modern Colloquial Arabic Speech Corpus (AMCASC): regional accents recognition within complex socio-linguistic environments
M Djellab, A Amrouche, A Bouridane… - Language Resources …, 2017 - Springer
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 …
occupation influences which have lead to a complex sociolinguistic environment. As a result …
An automated system for regional nativity identification of indian speakers from english speech
GR Krishna, R Krishnan… - 2019 IEEE 16th India …, 2019 - ieeexplore.ieee.org
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 …
analysing their English speech utterances. A database of English speech of native speakers …
Automatic dialect identification system for Kannada language using single and ensemble SVM algorithms
NB Chittaragi, SG Koolagudi - Language Resources and Evaluation, 2020 - Springer
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 …
spectral and prosodic features for Kannada language. A new dialect dataset is collected …
[HTML][HTML] Exploration of temporal dynamics of frequency domain linear prediction cepstral coefficients for dialect classification
Speakers exhibit dialectal traits in speech at sub-segmental, segmental, and supra-
segmental levels. Any feature representation for dialect classification should appropriately …
segmental levels. Any feature representation for dialect classification should appropriately …
The Study of Malay's Prosodic Features Impact on Classical Arabic Accents Recognition
Modeling individual's variation in speech pattern can be challenging in Automatic Speech
Recognition (ASR). In Classical Arabic (CA) language, 20 Quranic accents are permitted for …
Recognition (ASR). In Classical Arabic (CA) language, 20 Quranic accents are permitted for …