prikaz prve stranice dokumenta Noise cancellation in automatic lip sync by speech signal analysis
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scientific master's theses
Noise cancellation in automatic lip sync by speech signal analysis
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2011. urn:nbn:hr:168:877156
Košutić, Tomislav
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Telecommunications

Institutional repository: FER Repository

Cite this document

Košutić, T. (2011). Noise cancellation in automatic lip sync by speech signal analysis (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:877156

Košutić, Tomislav. "Noise cancellation in automatic lip sync by speech signal analysis." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2011. https://urn.nsk.hr/urn:nbn:hr:168:877156

Košutić, Tomislav. "Noise cancellation in automatic lip sync by speech signal analysis." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2011. https://urn.nsk.hr/urn:nbn:hr:168:877156

Košutić, T. (2011). 'Noise cancellation in automatic lip sync by speech signal analysis', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:877156

Košutić T. Noise cancellation in automatic lip sync by speech signal analysis [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2011 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:877156

T. Košutić, "Noise cancellation in automatic lip sync by speech signal analysis", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2011. Available at: https://urn.nsk.hr/urn:nbn:hr:168:877156

Metadata
TitleNoise cancellation in automatic lip sync by speech signal analysis
Title (croatian)Poništavanje šuma pri automatskoj sinkronizaciji usana pomoću analize govornog signala
AuthorTomislav Košutić
MentorIgor Sunday Pandžić (mentor)
Committee memberMaja Matijašević (predsjednik povjerenstva)
Committee memberIgor Sunday Pandžić (član povjerenstva)
Committee memberKrešimir Matković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Telecommunications)
Zagreb
Defense date and country2011-11-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Universal decimal classification
(UDC)		004 - Computer science and technology. Computing. Data processing
Abstract
This master thesis investigates noise cancellation techniques in order to enhance the performance of existing automatic lip synchronization system in noisy environments. Automatic lip synchronization is a method for generating virtual character face animation where animation is driven by the speech signal. The method consists of speech signal analysis, audio to visual mapping and face animation synthesis. Speech signal is mapped to visual representations of speech, visemes, by speech feature recognition. The presence of background noise in the speech signal degrades the speech feature recognition and results in poor lip sync animation quality. The thesis investigates different speech signal enhancement methods, proposes and implements algorithms for noise cancellation as part of the enhanced automatic lip synchronization system. Proposed method based on spectral subtraction effectively tracks and cancels the stationary and nonstationary noise in real time. Additional filters applied on speech features improve the recognition accuracy of the speech signal. Existing speech recognition system performance is improved with the use of dynamic neural networks, resulting in overall better lip sync animation quality. Implemented system is validated with several evaluation methods, showing robustness to different noise environments. Potential applications of the system are discussed in details. Enhanced lip synchronization system is speaker independent and suitable for real-time and offline applications.
Abstract (croatian)
Ovaj rad istražuje tehnike poništavanja šuma s ciljem poboljšanja performansi postojećeg sustava za automatsku sinkronizaciju usana u bučnom okruženju. Automatska sinkronizacija usana je metoda generiranja animacije govora virtualnog lika na temelju zvučnog signala govora. Postupak se sastoji od analize signala govora, mapiranja govora u vizualni skup parametara i sinteze animacije virtualnog lika. Mapiranje signala govora u skup vizualnih parametara ostvaruje se podsustavom za prepoznavanje kodiranog govornog signala. Pozadinska buka u zučnom signalu degradira postupak prepoznavanja kodiranog govornog signala, što rezultira lošijom kvalitetom animacije govora virtualnog lika. U radu su istraženi različiti postupci za poboljšanje zašumljenog zvučnog signala govora. Na temelju istraživanja predložen je odgovarajući algoritam za poništavanje šuma u zvučnom signalu, zasnovan na spektralnoj subtrakciji. Algoritam je implementiran kao nadogradnja postojećeg sustava za automatsku sinkronizaciju usana. Algoritam spektralne subtrakcije efikasno prepoznaje i uspješno poništava šum u stvarnom vremenu. Uz poništavanje šuma dodatnim filtriranjem kodiranog govornog signala pospješuje se prepoznavanje govora u zvučnom signalu. Postojeći podsustav za prepoznavanje kodiranog govornog signala unaprijeđen je korištenjem dinamičkih neuronskih mreža. Rezultat jest kvalitetnija animacija govora virtualnog lika. Implementirani sustav validiran je pomoću različitih metoda za testiranje koje pokazuju otpornost sustava prema različitim razinama buke u zvučnom signalu. Potencijalne primjene sustava za automatsku sinkronizaciju usana izložene su do detalja. Poboljšani sustav za automatsku sinkronizaciju usana neovisan je o govorniku i prikladan za primjenu u stvarnom vremenu.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:168:877156
ProjectNumber: 036-0362027-2028
Title: Utjelovljeni razgovorni agenti za usluge u umreženim i pokretljivim sustavima
Leader: Igor Sunday Pandžić
Jurisdiction: Croatia
Funder: MZOS
Funding stream: ZP
Study programmeTitle: Postgraduate master programe in computing
Study programme type: university
Study level: postgraduate
Academic / professional title: magistar inženjer računarstva (magistar inženjer računarstva)
Catalog URLhttp://lib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=36911
Type of resourceText
Extent83 str ; 30 cm
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Created on2020-08-25 08:42:48