ALIZE

ALIZE 3.0 - open source toolkit for state-of-the-art speaker recognition. ALIZÉ is an opensource platform for speaker recognition. The purpose of this project is to provide a set of low-level and high-level frameworks that will allow anybody to develop applications handling the various tasks in the field of speaker recognition: verification/identification, segmenting, etc.

Keywords for this software

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References in zbMATH (referenced in 3 articles )

Showing results 1 to 3 of 3.
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  1. Kong Aik Lee, Ville Vestman, Tomi Kinnunen: ASVtorch toolkit: Speaker verification with deep neural networks (2021) not zbMATH
  2. Metzger, Richard A.; Doherty, John F.; Jenkins, David M.; Hall, Donald L.: Approximate entropy and empirical mode decomposition for improved speaker recognition (2020)
  3. Sirinoot Boonsuk; Atiwong Suchato; Proadpran Punyabukkana; Chai Wutiwiwatchai; Nattanun Thatphithakkul: Language Recognition Using Latent Dynamic Conditional Random Field Model with Phonological Features (2014) not zbMATH