Title :
Algorithm for detection of voice signal periodicity
Author :
Buza, Ovidiu ; Toderean, Gavril ; Balogh, A. ; Domokos, Jozsef
Author_Institution :
Dept. of Commun., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
Abstract :
This article presents an original algorithm for detecting the periodicity of voice signal. Main characteristics of current algorithm are: precise determination of each period from a voiced segment of speech, accurate detection of pitch interval boundaries, marking the glottal peak of each period. The algorithm uses time domain analysis of the signal, from this resulting its rapidity and efficiency.
Keywords :
signal detection; speech processing; time-domain analysis; accurate pitch interval boundary detection; period glottal peak marking; precise period determination; time domain analysis; voice signal periodicity detection algorithm; voiced speech segment; Algorithm design and analysis; Classification algorithms; Estimation; Signal processing algorithms; Speech; Speech processing; Time-domain analysis; automate pitch detection; time domain analysis; voice signal periodicity;
Conference_Titel :
Speech Technology and Human - Computer Dialogue (SpeD), 2013 7th Conference on
Conference_Location :
Cluj-Napoca
DOI :
10.1109/SpeD.2013.6682647
