Automatic speech recognition (ASR) is increasingly used in computer-assisted pronunciation training, but successful lexical recognition is not a valid substitute for pronunciation assessment. This article synthesizes evidence on ASR effectiveness, CAPT design, recognition- assessment conflict, peer-supported practice,...
In automatic speech recognition (ASR), transcription errors with similar lexical or semantic discrepancies can have markedly different consequences for the situation conveyed by speech. Capturing these differences requires not merely contextual assessment, but an understanding of what the spoken discourse describes, es...
Ming-Zhe Lu, Jin-Hao Liu, Yun-Peng Li et al.· 0 citations
Voice agents built as cascaded automatic speech recognition (ASR)->large language model (LLM)->text-to-speech (TTS) pipelines increasingly rely on conversational TTS: streaming, context conditioned models that adapt delivery to dialogue history. Such models are natural and expressive but offer little explicit control o...
Yashish M. Siriwardena, Dinesh K. Gnanasekaran, Tanmay Laud et al.· 0 citations
Speaking is widely regarded as the most difficult skill to teach, practise, and assess in English as a Second Language (ESL) classrooms, largely because valid assessment of oral proficiency has traditionally depended on scarce resources: trained human raters, controlled testing conditions, and considerable time. The re...
L. Hajiyeva· International Journal of Res...· 0 citations
Speech large language models (speech LLMs) perform well on automatic speech recognition (ASR) when sufficient paired speech-text data is available, but their performance degrades in low-resource settings. A cascaded pipeline that performs speech-to-phoneme (S2P) conversion followed by phoneme-to-grapheme (P2G) conversi...
A training-free ST2P pipeline that integrates both lexical and acoustic information at inference time is proposed that outperforms all baselines, including a trained ST2P model and commercial multimodal LLMs.
Hikaru Asano, Yotaro Kubo, So Kuroki· 0 citations
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