The research community has long studied computer-assisted pronunciation training (CAPT)
methods in non-native speech. Researchers focused on studying various model …

We propose a weakly-supervised model for word-level mispronunciation detection in non-
native (L2) English speech. To train this model, phonetically transcribed L2 speech is not …

Sequence-to-Sequence (seq2seq) tasks transcribe the input sequence to a target sequence.
The Connectionist Temporal Classification (CTC) criterion is widely used in multiple …

Disfluency detection and classification on children's speech has a great potential for
teaching reading skills. Word-level assessment of children's speech can help teachers to …

Single-channel speech enhancement approaches do not always improve automatic
recognition rates in the presence of noise, because they can introduce distortions unhelpful …

Over the last few years, YouTube Kids has emerged as one of the highly competitive
alternatives to television for children's entertainment. Consequently, YouTube Kids' content …

In this work, we explore how a real time reading tracker can be built efficiently for children's
voices. While previously proposed reading trackers focused on ASR-based cascaded …

We establish the viability of a streamlined architecture for pedagogically appropriate
computer assisted pronunciation training (CAPT), to give second language learners …

Language variation and change are ubiquitous, and one aim of linguistic research is to
understand synchronic variation and how it contributes to change over time. This …

Download Copy BibTeX@ Article {Korzekwa2022, author={Daniel Korzekwa and Bozena
Kostek and Roberto Barra-Chicote}, title={Automated detection of pronunciation errors in …