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Found 7 papers, 0 papers with code
Automatic Pronunciation Assessment -- A Review
Pronunciation assessment and its application in computer-aided pronunciation training (CAPT) have seen impressive progress in recent years.
The complementary roles of non-verbal cues for Robust Pronunciation Assessment
Research on pronunciation assessment systems focuses on utilizing phonetic and phonological aspects of non-native (L2) speech, often neglecting the rich layer of information hidden within the non-verbal cues.
L1-aware Multilingual Mispronunciation Detection Framework
The phonological discrepancies between a speaker's native (L1) and the non-native language (L2) serves as a major factor for mispronunciation.
MyVoice: Arabic Speech Resource Collaboration Platform
Furthermore, the platform offers flexibility to admin roles to add new data or tasks beyond dialectal speech and word collection, which are displayed to contributors.
LAraBench: Benchmarking Arabic AI with Large Language Models
Our findings provide valuable insights into the applicability of LLMs for Arabic NLP and speech processing tasks.
QVoice: Arabic Speech Pronunciation Learning Application
This paper introduces a novel Arabic pronunciation learning application QVoice, powered with end-to-end mispronunciation detection and feedback generator module.
SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation
Our proposed technique achieves state-of-the-art results, with Speechocean762, on ASR dependent mispronunciation detection models at phoneme level, with a 2. 0% gain in Pearson Correlation Coefficient (PCC) compared to the previous state-of-the-art [1].
Ranked #4 on
Phone-level pronunciation scoring
on speechocean762
