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Markéta Řezáčková

1 paper here

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  • last author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • eess.AS1

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most citedDetection of Prosodic Boundaries in Speech Using Wav2Vec 2.0

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

eess.AS2022★ 6 cited

Detection of Prosodic Boundaries in Speech Using Wav2Vec 2.0

Marie Kunešová, Markéta Řezáčková

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.