prikaz prve stranice dokumenta Neuralne mreže u izdvajanju govornog signala iz zvučnog zapisa
No public access
master's thesis
Neuralne mreže u izdvajanju govornog signala iz zvučnog zapisa
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:206585
Henc, Stjepan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Henc, S. (2015). Neuralne mreže u izdvajanju govornog signala iz zvučnog zapisa (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:206585

Henc, Stjepan. "Neuralne mreže u izdvajanju govornog signala iz zvučnog zapisa." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:206585

Henc, Stjepan. "Neuralne mreže u izdvajanju govornog signala iz zvučnog zapisa." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:206585

Henc, S. (2015). 'Neuralne mreže u izdvajanju govornog signala iz zvučnog zapisa', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:206585

Henc S. Neuralne mreže u izdvajanju govornog signala iz zvučnog zapisa [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:206585

S. Henc, "Neuralne mreže u izdvajanju govornog signala iz zvučnog zapisa", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:206585

Metadata
TitleNeuralne mreže u izdvajanju govornog signala iz zvučnog zapisa
Title (english)Neural networks in separation of voice signal from audio record
AuthorStjepan Henc
MentorŠandor Dembitz (mentor)
Committee memberŠandor Dembitz (predsjednik povjerenstva)
Committee memberGordan Gledec (član povjerenstva)
Committee memberMarko Banek (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu dan je pregled trenutnog stanja područja izdvajanja govora i pregled najuspješnijih strategija za izdvajanje govora. Poseban naglasak stavljen je na duboke neuronske mreže. Odabrana je BLSTM-RNN arhitektura neuronske mreže i CURRENNT kao programski paket za rad s tom mrežom. Uspješnost izdvajanja govora je ispitana na skupu podataka prvog zadatka drugog CHiME natjecanja (engl. CHiME 2nd challenge Task 1) i postignuto je apsolutno poboljšanje točnosti od 25% za prepoznavanje govora sa smetnjama koristeći sustav za prepoznavanje čistog govora s malim opsegom rječnika.
Abstract (english)
An overview of recent developments in the field of speech extraction is given, including a survey of most successful strategies. A special emphasis is put on approaches based on deep neural networks. The BLSTM-RNN neural network architecture is chosen along with the CURRENNT software package for working with the network. Success of speech extraction is evaluated on Task 1 of the CHiME 2nd challenge, and an absolute improvement in word accuracy of 25% is achieved on a noisy speech recognition task using a small-dictionary ASR system specialised for clean speech.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:206585
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2018-02-06 09:08:36