Unsupervised Accent Adaptation Through Masked Language Model Correction Of Discrete Self-Supervised Speech Units

no code implementations • 25 Sep 2023 • Jakob Poncelet, Hugo Van hamme

Self-supervised pre-trained speech models have strongly improved speech recognition, yet they are still sensitive to domain shifts and accented or atypical speech.

Accented Speech Recognition Language Modelling +1

Learning to Jointly Transcribe and Subtitle for End-to-End Spontaneous Speech Recognition

no code implementations • 14 Oct 2022 • Jakob Poncelet, Hugo Van hamme

However, subtitles are not verbatim (i. e. exact) transcriptions of speech, so they cannot be used directly to improve an Automatic Speech Recognition (ASR) model.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch

no code implementations • 29 Sep 2021 • Jakob Poncelet, Hugo Van hamme

Recent research in speech processing exhibits a growing interest in unsupervised and self-supervised representation learning from unlabelled data to alleviate the need for large amounts of annotated data.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2