Neuralne mreže u izdvajanju govornog signala iz zvučnog zapisa

master's thesis

• Title (english): Neural networks in separation of voice signal from audio record
• Author: Stjepan Henc
• Mentor: Šandor Dembitz (mentor)
• Committee member: Šandor Dembitz (predsjednik povjerenstva)
• Committee member: Gordan Gledec (član povjerenstva)
• Committee member: Marko Banek (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2015-07-09, 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: izdvajanje govora; duboke neuronske mreže; RNN; BLSTM; CUDA; CHiME; CURRENNT
• Keywords (english): speech extraction; deep neural networks; RNN; BLSTM; CUDA; CHiME; CURRENNT
• Language: croatian
• URN:NBN: urn:nbn:hr:168:206585
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 09:08:36