Automatic Pronunciation Assessment--A Review
Pronunciation assessment and its application in computer-aided pronunciation training
(CAPT) have seen impressive progress in recent years. With the rapid growth in language …
(CAPT) have seen impressive progress in recent years. With the rapid growth in language …
Improving mispronunciation detection using speech reconstruction
A Das, R Gutierrez-Osuna - IEEE/ACM Transactions on Audio …, 2024 - ieeexplore.ieee.org
Training related machine learning tasks simultaneously can lead to improved performance
on both tasks. Text-to-speech (TTS) and mispronunciation detection and diagnosis (MDD) …
on both tasks. Text-to-speech (TTS) and mispronunciation detection and diagnosis (MDD) …
Audio features from the Wav2Vec 2.0 embeddings for the ACM multimedia 2022 stuttering challenge
C Montacié, MJ Caraty, N Lackovic - Proceedings of the 30th ACM …, 2022 - dl.acm.org
The ACM Multimedia 2022 Stuttering Challenge is to determine the stuttering-related class
of a speech segment. There are seven stuttering-related classes and an eighth garbage …
of a speech segment. There are seven stuttering-related classes and an eighth garbage …
What can an accent identifier learn? Probing phonetic and prosodic information in a wav2vec2-based accent identification model
This study is focused on understanding and quantifying the change in phoneme and
prosody information encoded in the Self-Supervised Learning (SSL) model, brought by an …
prosody information encoded in the Self-Supervised Learning (SSL) model, brought by an …
Automatic speech recognition (ASR) for the diagnosis of pronunciation of speech sound disorders in Korean children
T Ahn, Y Hong, Y Im, DH Kim, D Kang… - Clinical Linguistics & …, 2024 - Taylor & Francis
This study presents a model of automatic speech recognition (ASR) that is designed to
diagnose pronunciation issues in children with speech sound disorders (SSDs) to replace …
diagnose pronunciation issues in children with speech sound disorders (SSDs) to replace …
An ensemble-based framework for mispronunciation detection of Arabic phonemes
SS Calık, A Kucukmanisa, ZH Kilimci - Applied Acoustics, 2023 - Elsevier
Determination of mispronunciations and ensuring feedback to users are maintained by
computer-assisted language learning (CALL) systems. In this work, we introduce an …
computer-assisted language learning (CALL) systems. In this work, we introduce an …
[PDF][PDF] A Joint Model for Pronunciation Assessment and Mispronunciation Detection and Diagnosis with Multi-task Learning
H Ryu, S Kim, M Chung - INTERSPEECH, 2023 - isca-archive.org
Empirical studies report a strong correlation between pronunciation proficiency scores and
phonetic errors in non-native speech assessments of human evaluators. However, the …
phonetic errors in non-native speech assessments of human evaluators. However, the …
Machine Learning (ML) tools for measuring second language (L2) intelligibility
Recent advances in Machine Learning, including Deep Neural Networks (DNNs), have
resulted in Automated Speech Recognition (ASR) systems with highly accurate transcription …
resulted in Automated Speech Recognition (ASR) systems with highly accurate transcription …
Multi-view multi-task representation learning for mispronunciation detection
The disparity in phonology between learner's native (L1) and target (L2) language poses a
significant challenge for mispronunciation detection and diagnosis (MDD) systems. This …
significant challenge for mispronunciation detection and diagnosis (MDD) systems. This …
Assessment of non-native speech intelligibility using wav2vec2-based mispronunciation detection and multi-level goodness of pronunciation transformer
Automatic pronunciation assessment (APA) plays an important role in providing feedback for
self-directed language learners in computer-assisted pronunciation training (CAPT). Several …
self-directed language learners in computer-assisted pronunciation training (CAPT). Several …