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 …

We investigate the effectiveness of soft-target tone labels and sequential context information
for mispronunciation detection of Mandarin lexical tones pronounced by second language …

We present iCALL, a speech corpus designed to evaluate Mandarin Chinese pronunciation
patterns of non-native speakers of European descent, developed at the Institute for …

Lexical tone is one of the most challenging pronunciation problems in tonal language
acquisition. Accurate lexical tone production is especially challenging for people whose …

Speech technology for children is more challenging than for adults, because there is a lack
of children's speech corpora. Moreover, there is higher heterogeneity in children's speech …

We propose three techniques to improve mispronunciation detection of Mandarin tones of
second language (L2) learners using tone-based extended recognition network (ERN). First …

Mispronunciation detection is an important component in a computer-assisted language
learning (CALL) system. Many CALL systems only provide pronunciation correctness as the …

This study investigates the tonal variant description of the official dialect in China
(Putonghua) as a factor in the coevolution of dialects. Three sociophonetic factors, target …

We present low-resource spoken keyword search (KWS) strategies guided by distinctive
feature theory in linguistics to conduct data selection, feature selection, and transcription …