diplomsko delo
Gašper Žejn (Avtor), Dušan Kodek (Mentor)

Povzetek

Diarizacija govorcev v zvočnih posnetkih

Ključne besede

analiza govora;diarizacija;indeksiranje govorcev;računalništvo;univerzitetni študij;diplomske naloge;

Podatki

Jezik: Slovenski jezik
Leto izida:
Tipologija: 2.11 - Diplomsko delo
Organizacija: UL FRI - Fakulteta za računalništvo in informatiko
Založnik: [G. Žejn]
UDK: 004(043.2)
COBISS: 9963348 Povezava se bo odprla v novem oknu
Št. ogledov: 56
Št. prenosov: 1
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: Speaker diarization of audio recordings
Sekundarni povzetek: Speech analysis is a broad research area in computer science. Diarization is a process of answering the question "who spoke when" by analyzing speech and extracting speaker specific information from it. This thesis focuses on evaluation of freely available tools for speaker diarization for use on Slovenian speech with emphasis on recordings of meetings. Two tools are evaluated, SHoUT and LIUM SpkDiarization. Both tools use similar theoretical primitives, which are explained in chapter 3. Tools, their use and test recordings are introduced in chapter 4. Results show the SHoUT tool is useful for Slovenian speech too, despite the fact the tool was not evaluated on Slovenian speech during its development. LIUM SpkDiarization is less stable and shows peculiar anomalies, such as merging all the speakers of same gender into one, which indicates additional research and parameter discovery should be done before using LIUM SpkDiarization on Slovenian speech.
Sekundarne ključne besede: speech analysis;diarization;diarisation;speaker indexing;computer science;diploma;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Diplomsko delo
Komentar na gradivo: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Strani: 33 f.
ID: 24168180