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pro vyhledávání: '"Kunešová, Marie"'
Autor:
Kunešová, Marie, Zajíc, Zbyněk
Self-supervised learning approaches have lately achieved great success on a broad spectrum of machine learning problems. In the field of speech processing, one of the most successful recent self-supervised models is wav2vec 2.0. In this paper, we exp
Externí odkaz:
http://arxiv.org/abs/2210.14755
Autor:
Kunešová, Marie, Řezáčková, Markéta
Publikováno v:
International Conference on Text, Speech, and Dialogue (TSD 2022), LNAI volume 13502
Prosodic boundaries in speech are of great relevance to both speech synthesis and audio annotation. In this paper, we apply the wav2vec 2.0 framework to the task of detecting these boundaries in speech signal, using only acoustic information. We test
Externí odkaz:
http://arxiv.org/abs/2209.15032
Publikováno v:
INTERSPEECH 2019
In this paper, we present our system developed by the team from the New Technologies for the Information Society (NTIS) research center of the University of West Bohemia in Pilsen, for the Second DIHARD Speech Diarization Challenge. The base of our s
Externí odkaz:
http://arxiv.org/abs/1905.11276