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Анализа обележја у говорном сигналу за потребе препознавања мултимодалног говора

Analysis of the speech signals features for multimodal speech recognition.

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2018
Disertacija.pdf (4.382Mb)
IzvestajKomisije17566.pdf (1.334Mb)
Author
Marković, Branko R.
Mentor
Mijić, Miomir
Committee members
Šumarac-Pavlović, Dragana
Subotić, Miško
Metadata
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Abstract
У системима аутоматског препознавња говора све значајнију улогу игра и мултимодални говор...
In automatic speech recognition systems, multimodal speech is playing an increasingly important role. Different modes of speech involve different acoustic features. Particular importance is given to normal (natural) speech, whisper and their combinations (when the system is trained by normal speech and then used to recognize whisper, and vice versa). The match scenarios: „normal/normal“ and „whisper/whisper“, and mismatch scenarios: „normal/whisper“ and „whisper/normal“ are considered here...
Faculty:
Универзитет у Београду, Електротехнички факултет
Date:
19-06-2018
Keywords:
Мултимодални говор / Multimodal speech / Acoustical features / Cepstral coefficients / Teager Energy operator / Normalization / DTW / акустичка обележја / кепстрални коефицијенти / Teager Energy пператпр / нормализација / DTW.
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Handle
https://hdl.handle.net/21.15107/rcub_nardus_9889
URI
https://nardus.mpn.gov.rs/handle/123456789/9889
http://eteze.bg.ac.rs/application/showtheses?thesesId=5989
https://fedorabg.bg.ac.rs/fedora/get/o:18230/bdef:Content/download
http://vbs.rs/scripts/cobiss?command=DISPLAY&base=70036&RID=50426639

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