The SpeechTek Lab at Fondazione Bruno Kessler investigates AI-based solutions for speech technologies, addressing a variety of speech related tasks: automatic speech recognition (ASR), speech enhancement and separation, spoken language understanding, speaker identification, automatic language learning and other speech and audio applications. The group is particularly interested in the application of AI topical research directions to the speech context, such as: continual learning, large-scale models, self-supervised adaptation, edge processing. These are key features towards an effective and efficient deployment of speech technologies in real-life conditions and are being investigated also in multi-modal (audio-visual) scenarios. Finally, the group has also a long-lasting experience in customization of ASR services.
The group is part of the Digital Society center.
Maximum score for the master thesis of Eleonora
by Alessio Brutti | Oct 6, 2022
On September 4th 2022, Eleonora Rodegher graduated with 110 cum Laude in Computational Linguistics at the University of Bolzano with a dissertation on transfer learning for ASR on low-resourced languages. Very well...
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Elena Romelli Bachelor Thesis
by Alessio Brutti | Sep 16, 2022
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GitHub Repository
by Alessio Brutti | Aug 11, 2022
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2 papers accepted at Interspeech 2022
by Alessio Brutti | Jun 20, 2022
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3 papers Accepted at iCASSP22
by Alessio Brutti | Jan 22, 2022
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