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master's thesis
Metode razlikovanja govora i glazbe u digitalnim zvučnim zapisima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:931134
Križanić, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Križanić, I. (2015). Metode razlikovanja govora i glazbe u digitalnim zvučnim zapisima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:931134

Križanić, Ivan. "Metode razlikovanja govora i glazbe u digitalnim zvučnim zapisima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:931134

Križanić, Ivan. "Metode razlikovanja govora i glazbe u digitalnim zvučnim zapisima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:931134

Križanić, I. (2015). 'Metode razlikovanja govora i glazbe u digitalnim zvučnim zapisima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:931134

Križanić I. Metode razlikovanja govora i glazbe u digitalnim zvučnim zapisima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 July 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:931134

I. Križanić, "Metode razlikovanja govora i glazbe u digitalnim zvučnim zapisima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:931134

Metadata
TitleMetode razlikovanja govora i glazbe u digitalnim zvučnim zapisima
Title (english)Methods for speech and music discrimination in digital soundtracks
AuthorIvan Križanić
MentorDavor Petrinović (mentor)
Committee memberDavor Petrinović (predsjednik povjerenstva)
Committee memberDamir Seršić (član povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U sklopu ovog diplomskog rada obrađen je povijesni pregled na metode razlikovanja govora i glazba te je napravljen pregled različitih čimbenika koji utječu na uspješnost klasifikacije. To su prije svega parametri zvuka, u vremenskoj domeni postotak okvira niske energije i broj prolaza kroz ništicu, u frekvencijskoj domeni spektralni centroid, spektralni tok, frekvencija većinske spektralne snage te u kepstralnoj domeni modulacijska energija na 4 Hz i modul razlike spektra i rekonstruiranog spektra iz kepstra. Rad se zatim fokusira na različite klasifikatore koje je moguće koristiti u sklopu razlikovanja govora i glazbe te obrađuje četiri različita klasifikatora. Na kraju se diskutiraju dvije različite gotove metode koje se mogu koristiti za klasificiranje govora i glazbe.
Abstract (english)
In the first part of this Masters' Thesis there is a historical overview of the methods for Speech/Music Discrimination and a survey of various factors that affect the classification performance. These factors consist primarily of parameters of sound. In the time domain, they include percentage of low-energy frames and zero crossing rate, in the frequency domain there are spectral centroid, spectral flux, spectral rolloff point and in the cepstral domain there are 4 Hz modulation energy. The Thesis then focuses on different classifiers that can be used for speech/music discrimination, pinpointing four different classifiers. Finally, two different methods that can be used to classify speech and music are discussed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:931134
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2018-02-06 09:56:35