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 …
Do explicit instruction and high variability phonetic training improve nonnative speakers' Mandarin tone productions?
This study examines the putative benefits of explicit phonetic instruction, high variability
phonetic training, and their effects on adult nonnative speakers' Mandarin tone productions …
phonetic training, and their effects on adult nonnative speakers' Mandarin tone productions …
Automatic speech recognition system for tonal languages: State-of-the-art survey
Natural language and human–machine interaction is a very much traversed as well as
challenging research domain. However, the main objective is of getting the system that can …
challenging research domain. However, the main objective is of getting the system that can …
[PDF][PDF] Automatic Scoring at Multi-Granularity for L2 Pronunciation.
B Lin, L Wang, X Feng, J Zhang - Interspeech, 2020 - isca-archive.org
Automatic pronunciation assessment and error detection play an important part of Computer-
Assisted Pronunciation Training (CAPT). Traditional approaches normally focus on scoring …
Assisted Pronunciation Training (CAPT). Traditional approaches normally focus on scoring …
[HTML][HTML] Neural representations for modeling variation in speech
Variation in speech is often quantified by comparing phonetic transcriptions of the same
utterance. However, manually transcribing speech is time-consuming and error prone. As an …
utterance. However, manually transcribing speech is time-consuming and error prone. As an …
Automatic speech recognition systems: A survey of discriminative techniques
In the subject of pattern recognition, speech recognition is an important study topic. The
authors give a detailed assessment of voice recognition strategies for several majority …
authors give a detailed assessment of voice recognition strategies for several majority …
Cross-lingual transfer learning of non-native acoustic modeling for pronunciation error detection and diagnosis
R Duan, T Kawahara, M Dantsuji… - IEEE/ACM Transactions …, 2019 - ieeexplore.ieee.org
In computer-assisted pronunciation training (CAPT), the scarcity of large-scale non-native
corpora and human expert annotations are two fundamental challenges to non-native …
corpora and human expert annotations are two fundamental challenges to non-native …
[PDF][PDF] Improving Mispronunciation Detection for Non-Native Learners with Multisource Information and LSTM-Based Deep Models.
In this paper, we utilize manner and place of articulation features and deep neural network
models (DNNs) with long short-term memory (LSTM) to improve the detection performance …
models (DNNs) with long short-term memory (LSTM) to improve the detection performance …
Transfer learning for children's speech recognition
Children's speech processing is more challenging than that of adults due to lacking of large
scale children's speech corpora. With the developing of the physical speech organ, high …
scale children's speech corpora. With the developing of the physical speech organ, high …
Computer-assisted assessment of phonetic fluency in a second language: a longitudinal study of Japanese learners of French
S Detey, L Fontan, M Le Coz, S Jmel - Speech Communication, 2020 - Elsevier
Automatic second language (L2) speech fluency assessment has been one of the ultimate
goals of several projects aiming at designing Computer-Assisted Pronunciation Training …
goals of several projects aiming at designing Computer-Assisted Pronunciation Training …