Talking to Machines - The Future of Speech to Text (29 November 2024)

This edition of the CuttingEdgeAI seminar series explored the fascinating technology that turns spoken language into written text, known as speech-to-text or Automatic Speech Recognition (ASR).

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The session provided insights into the current advancements and challenges of speech-to-text technology, and industry leaders and researchers in the field shared their experiences and discussed future directions for this technology. A special focus was on the Norwegian Whisper model, trained by the National Library of Norway. We would like to thank all of our speakers and guests, and hope those who couldn't join us at the event will find the recordings useful.


NB Whisper: "Veien hit og veien videre" - Per Egil Kummervold


Open challenges in automatic speech recognition - Torbjørn Karl Svendsen


Speech technology research - Giampiero Salvi


Norwegian dialect classification by humans and machine - Phoebe Parsons

 


Semantically Meaningful Metrics for Norwegian ASR Systems - Janine Lizbeth Cabrera Rugayan


Whisper@uio - Dagfinn Bergsager


Transcription and diarization at the NRK - Henrik Lied


Speech to text as backbone for ambient AI - Mikkel Dahl Slettebø, Øystein Nygaard


Tutorial - Finetune ASR models - Sushant Gautam


LLMs for WER Reduction - Sachin Gaur



This event is partly funded by the European Union's DIGITAL EUROPE Programme, under Grant Agreement No. 101083966, and the Norwegian AI Cloud project, funded by Forskningsrådet with Grant Agreement No. 322336.

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Published Dec. 9, 2024 3:45 PM - Last modified June 4, 2025 8:51 AM