Abstract
In speaker recognition, the maximum likelihood (ML) rule is used as a criterion to assign a given sequence of acoustic vectors to the maximum likelihood speaker model. However, this rule is not flexible in some cases. An alternative decision rule, the maximum average normalised likelihood (MANL), is proposed in this paper. The theoretical analysis and the experimental results show that the MANL rule can be used in speaker identification and it is more effective than the ML rule in the approaches based on Gaussian mixture model (GMM) and vector quantisation (VQ).
Original language | English (US) |
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Pages | 85-88 |
Number of pages | 4 |
State | Published - 2020 |
Externally published | Yes |
Event | Workshop on Speaker Recognition and its Commercial and Forensic Applications, RLA2C 1998 - Avignon, France Duration: Apr 20 1998 → Apr 23 1998 |
Conference
Conference | Workshop on Speaker Recognition and its Commercial and Forensic Applications, RLA2C 1998 |
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Country/Territory | France |
City | Avignon |
Period | 4/20/98 → 4/23/98 |
ASJC Scopus subject areas
- Human-Computer Interaction
- Signal Processing
- Software