The speech signal segmentation algorithm using pitch synchronous analysis

Autor: Amirgaliyev Yedilkhan, Hahn Minsoo, Mussabayev Timur
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Open Computer Science, Vol 7, Iss 1, Pp 1-8 (2017)
Druh dokumentu: article
ISSN: 2299-1093
DOI: 10.1515/comp-2017-0001
Popis: Parameterization of the speech signal using the algorithms of analysis synchronized with the pitch frequency is discussed. Speech parameterization is performed by the average number of zero transitions function and the signal energy function. Parameterization results are used to segment the speech signal and to isolate the segments with stable spectral characteristics. Segmentation results can be used to generate a digital voice pattern of a person or be applied in the automatic speech recognition. Stages needed for continuous speech segmentation are described.
Databáze: Directory of Open Access Journals