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Uncovering bias in ASR systems

Fuckner, Marcio (Lectoraat Responsible It); Horsman, Sophie (Faculteit Digitale Media En Creatieve Industrie (Fdmci)); Janssen, Iskaj; Wiggers, Pascal (Lectoraat Responsible It)

The study evaluated two speech recognition systems, Wav2vec2 and Whisper, for potential biases for Dutch speakers.Results obtained by evaluating on the JASMIN corpus revealed biases against non-native speakers, children, and the elderly,with (slightly) better performance for women. The study emphasizes …

2024-02-19AlgemeenConferentiebijdrage

Moralis machina

Veerman, Martijn; Horsman, Sophie (Faculteit Digitale Media En Creatieve Industrie (Fdmci)); Silvis, Jeroen; Westplat, Yuri (Lectoraat Responsible It); Jones, Pippa

2023-12-19AlgemeenAndersoortig materiaal

DRAMA – Op weg naar inclusieve spraakherkenning

Horsman, Sophie (Faculteit Digitale Media En Creatieve Industrie (Fdmci)); Fuckner, Mario (Lectoraat Responsible It); Wiggers, Pascal (Lectoraat Responsible It)

Blogpost over de casus "inclusieve spraakherkenning" binnen het DRAMA project

2023-10-17AlgemeenAndersoortig materiaal

Uncovering Bias in ASR Systems

Fuckner, Marcio (Lectoraat Responsible It); Horsman, Sophie (Faculteit Digitale Media En Creatieve Industrie (Fdmci)); Wiggers, Pascal (Lectoraat Responsible It); Janssen, Iskaj

It is crucial that ASR systems can handle the wide range of variations in speech of speakers from different demographic groups, with different speaking styles, and of speakers with (dis)abilities. A potential quality-of-service harm arises when ASR systems do not perform equally well for everyone. ASR …

2023AlgemeenConferentiebijdrage

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Uncovering bias in ASR systems

Moralis machina

DRAMA – Op weg naar inclusieve spraakherkenning

Uncovering Bias in ASR Systems

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