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
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Kong Aik Lee, Ville Vestman, Tomi Kinnunen: ASVtorch toolkit: Speaker verification with deep neural networks (2021) not zbMATH
- Metzger, Richard A.; Doherty, John F.; Jenkins, David M.; Hall, Donald L.: Approximate entropy and empirical mode decomposition for improved speaker recognition (2020)
- 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