Title :
Improving AMDF for pitch period detection
Author :
Guangyu, Kang ; Shize, Guo
Author_Institution :
Dept. of Autom. Test & Control, Harbin Inst. of Technol., Harbin, China
Abstract :
Pitch period is the important parameters of speech recognition and speech synthesis. Pitch period detection has been focus in the field of audio processing research. Traditional AMDF-based algorithm and its improved version, LV-AMDF-based algorithm easily leads to the double error or half error, and so on in the pitch detection. To solve these problems, AMDF, LV-AMDF function characteristics and shortcomings in pitch detection are analyzed, the parameters compensation AMDF pitch detection algorithm is proposed in this article to reduce semi-frequency, double-frequency errors often appear in the pitch detection and improve the detection accuracy. Experimental results show that its pitch detection accuracy is better than AMDF and LV-AMDF.
Keywords :
audio signal processing; speech recognition; speech synthesis; AMDF pitch period detection algorithm; LV-AMDF function characteristics; audio processing; double-frequency error reduction; parameters compensation; semifrequency error reduction; speech recognition; speech synthesis; Attenuation; Autocorrelation; Automatic control; Automatic testing; Detection algorithms; Electronic equipment testing; Error correction; Instruments; Signal processing algorithms; Speech synthesis; AMDF; Length-Varied AMDF; Pitch detection algorithm; amplitude compensation;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274087