Title: On the amount of speech data necessary for successful speaker identification
Other Titles: Porovnání několika procedur verifikace řečníka založených na GMM
Authors: Padrta, Aleš
Radová, Vlasta
Citation: PADRTA, Aleš; RADOVÁ, Vlasta. On the amount of speech data necessary for successful speaker identification. In: Eurospeech 2003 - Interspeech: proceedings of the 8th European Conference on Speech Communication and Technology, 1-4 September 2003, Geneva, Switzerland. [Baixas]: ISCA, 2003, p. 301-304. ISSN 1018-4074.
Issue Date: 2003
Publisher: ISCA
Document type: článek
URI: http://www.kky.zcu.cz/cs/publications/PadrtaA_2003_Ontheamountof_1
ISSN: 1018-4074
Keywords: identifikace řečníka;uzavřená množina;redukce množství testovacích dat;přístup založený na HMM
Keywords in different language: speaker identification;closed set;reduction of amount of test data;HMM based approach
Abstract: Článek pojednává o závislosti mezi identifikací řečníka a množstvím dat pro testování. V článku jsou prezentovány tři identifikační procedury.
Abstract in different language: The paper deals with the dependence between the speaker identification performance and the amount of test data. Three speaker identification procedures based on hidden Markov models (HMMs) of phonemes are presented here. One, which is quite commonly used in the speaker recognition systems based on HMMs, uses the likelihood of the whole utterance for speaker identification. The other two that are proposed in this paper are based on the majority voting rule. The experiments were performed for two different situations: either both training and test data were obtained from the same channel, or they were obtained from different channels. All experiments show that the proposed speaker identification procedure based on the majority voting rule for sequences of phonemes allows us to reduce the amount of test data necessary for successful speaker identification.
Rights: © Aleš Padrta - Vlasta Radová
Appears in Collections:Články / Articles (KKY)

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