Datum / čas
Date(s) - 22.02.
17:00 - 18:00
Kategorie ne Kategorie
AICZECHIA seminar:
Petr Schwarz: Voice biometry – current research and industrial efforts
Petr Schwarz is a senior researcher in BUT Speech@FIT at the Faculty of Information Technology (FIT) of Brno University of Technology.
The talk will be accessible to non-specialists so it should be a great opportunity to learn about this area from an expert. The talk is open to the public.
The talk will be held online (Zoom link ) and the planned format is a 30 min talk followed by a 30 min open discussion session.
More information on the planned seminars: https://www.aiczechia.cz/seminare
Abstract:
Voice biometry is a technology that overperforms humans. We will present how modern voice biometry systems are built and how they are deployed. The key issues are how to collect data, what are the input features describing the human vocal tract, what machine learning techniques are used for modeling, how to train the models, and how to deliver the model to its user while keeping the best accuracy. We will also mention the current research challenges, most of which are common to other machine learning areas – new neural architectures and training paradigms, robustness, unsupervised training and probabilistic representations of speaker embeddings.
Bio:
Petr Schwarz [PhD, Brno University of Technology, 2009] is senior researcher in BUT Speech@FIT at the Faculty of Information Technology (FIT) of BUT. He has broad experience in speech technologies ranging from voice biometry, speech transcription, keyword spotting, to language identification. At BUT, Petr worked on many national, EU, and US research projects and many international technology evaluation campaigns like those organized by the U.S. National Institute of Standards and Technology (NIST). In 2006, Petr co-founded Phonexia, and served for several years as its CEO and CTO. Phonexia sells speech technologies to more than 60 countries. Currently, he is working on conversational AI technologies and security/defense applications of voice biometry.