A. Kydyrbekov

Al-Farabi Kazakh National University · факультет информационных систем

the paper discusses the development of a voice recognition system based on cepstral coefficients on the chalk scale (Mel-frequency Cepstral Coefficients, MFCC) and mixed Gaussian models (Gaussian Mixture Models, GMM). Within the framework of this work, the existing methods for solving the problem of automatic speaker identification by voice were in...

the paper discusses the development of a voice recognition system based on cepstral coefficients on the chalk scale (Mel-frequency Cepstral Coefficients, MFCC) and mixed Gaussian models (Gaussian Mixture Models, GMM). Within the framework of this work, the existing methods for solving the problem of automatic speaker identification by voice were in...

Text-independent voice recognition of the user using short sentences is a very difficult task due to the large spread and inconsistency of the content between short sentences, in order to improve user recognition by voice, it is planned to highlight several sets of distinguishing features that contain more information related to the voice. The resu...

Currently, computerized systems, such as language learning, telephone advertising, criminal cases, computerized health care and education systems are rapidly spreading and creating an urgent need for improved productivity. Speech recordings are a rich source of personal, confidential data that can be used to support a wide variety of applications,...