With large amounts of training data, it is possible to train ASR models that generalize well
across speakers and domains. But how do you train robust models when there is a limited …

With the advent of weakly supervised ASR systems like Whisper, it is possible to train ASR
systems on non-verbatim transcriptions. This paper describes an effort to create a large …

Transformers have evolved with great success in various artificial intelligence tasks. Thanks
to our recent prevalence of self-attention mechanisms, which capture long-term …

This article introduces NB-Whisper, an adaptation of OpenAI's Whisper, specifically fine-
tuned for Norwegian language Automatic Speech Recognition (ASR). We highlight its key …

Automatic speech recognition (ASR) plays a vital role in various domains, improving search
engines, aiding healthcare with medical reporting and diagnosis, enhancing service …

Law enforcement agencies manually transcribe thousands of investigative interviews per
year in relation to different crimes. In order to automate and improve efficiency in the …

Automatic speech recognition (ASR) systems play a pivotal role in modern communication
technology by enabling computers to convert human speech into written form. The Whisper …

Denne masteroppgaven utforsker uttalevansker blant barn med og uten Norsk som
morsmål, og vurderer i denne sammenhengen ytelsen til systemer for automatisk …

Denne oppgaven utforsker forbedringen av ytelsen til norske automatiske
talegjenkjenningssystemer (ASR) gjennom" fine-tuning" ved bruk av spontane taledatasett …

This master's thesis investigates the practical application of Automatic Speech Recognition
(ASR) technology, namely the Whisper model, for transcribing Norwegian police interviews …