Research on Pronunciation Error Recognition Method for English Conversation Practice Based on Artificial Intelligence Corpus

INFORMATION AND WEB TECHNOLOGIES

Fine-Tuning Whisper for Automatic Speech Recognition in Baniwa: A Preliminary Study

A preliminary study on the adaptation of Whisper for Automatic Speech Recognition in Baniwa, an indigenous Arawakan language spoken in Brazil, Colombia, and Venezuela, demonstrating that multilingual foundation models can be successfully adapted to extremely low-resource indigenous languages.

Precise Guidance for English Prosody Perception Pronunciation Based on Deep Learning

In English pronunciation teaching, prosody has long received less attention than segmental phoneme training, although stress, rhythm, and intonation strongly affect speech intelligibility and naturalness. Existing technological aids mainly focus on phoneme-level correction and still lack fine-grained diagnosis and adap...

Automatic Speech Recognition for Low-Resource Sinhala: A Critical Review of Methods, Challenges, and Future Directions

Automatic speech recognition (ASR) for low-resource languages remains a major challenge. Sinhala, the primary language of Sri Lanka with about 16 million speakers, illustrates the difficulty: agglutinative morphology, a 54-phoneme inventory, subject-object-verb (SOV) syntax and scarce annotated speech data limit both c...

Phoneme-Aware Pronunciation Representations for L2-English L1-Background Accent Identification

We study speaker-disjoint accent identification for L2 English, where the goal is to predict a speaker's first-language (L1) background from English pronunciation. Most existing systems classify accents using a single utterance-level representation, but such global representations can obscure pronunciation cues that de...

Effectiveness of Phoneme-Based Speaker Recognition Using Ultra-Short Speech Segments: The Case Study of the Kazakh Language

This paper presents an extended study of a phoneme-based approach to speaker identification in the Kazakh language using ultra-short utterances. Unlike the previous study conducted on a corpus of 20 speakers, the present experiment was conducted on 145 speakers, which made it possible to verify the reproducibility of t...