DocumentCode :
2085762
Title :
Speaker recognition based on short polish sequences
Author :
Marciniak, Tomasz ; Weychan, Radoslaw ; Drgas, Szymon ; Dabrowski, Adrian ; Krzykowska, Agnieszka
Author_Institution :
Div. of Signal Process. & Electron. Syst., Poznan Univ. of Technol., Poznań, Poland
fYear :
2010
fDate :
23-25 Sept. 2010
Firstpage :
95
Lastpage :
98
Abstract :
This paper presents results of speaker recognition experiments using short Polish sentences. We developed and analyzed various vector quantization representations in order to first maximize identification effectiveness and second to compare VQ (vector quantization) and GMM (Gaussian mixture model) approaches. For the research and experiments we created and exploited database, containing specially prepared short speech sequences.
Keywords :
Gaussian processes; natural language processing; speaker recognition; vector quantisation; Gaussian mixture model; identification effectiveness; short Polish sentences; speaker recognition; vector quantization representations; Image recognition; Quantization; Speech; Speech coding; Speech recognition; Testing; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA), 2010
Conference_Location :
Poznan
Print_ISBN :
978-1-4577-1485-6
Electronic_ISBN :
978-83-62065-07-3
Type :
conf
Filename :
5943721
Link To Document :
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