4 papers · 1 filter
From Text Metrics to Model Internals: A Study of Whisper ASR Hallucination Detection
Jan Jasiński, Mateusz Barański, Julitta Bartolewska +2
Hallucinations of ASR models - fluent transcriptions with no basis in audio - degrade system performance and pose risks in downstream applications. Robust detection of such errors…
HALAS: A Human-Annotated Dataset of Hallucinations of Modern ASR Systems
Mateusz Barański, Jan Jasiński, Julitta Bartolewska +2
End-to-end Automatic Speech Recognition (ASR) systems hallucinate on natural speech, yet existing mitigation methods are typically evaluated on non-speech or artificially corrupted…
Investigation of Whisper ASR Hallucinations Induced by Non-Speech Audio
Mateusz Barański, Jan Jasiński, Julitta Bartolewska +3
Hallucinations of deep neural models are amongst key challenges in automatic speech recognition (ASR). In this paper, we investigate hallucinations of the Whisper ASR model induced…
BUT CHiME-7 system description
Martin Karafiát, Karel Veselý, Igor Szöke +5
This paper describes the joint effort of Brno University of Technology (BUT), AGH University of Krakow and University of Buenos Aires on the development of Automatic Speech Recogni…