DocumentCode
3024646
Title
Pitch extraction for musical signals with modified AMDF
Author
Qin, Lu ; Li, Qiang ; Guan, Xin
Author_Institution
Tianjin Univ., Tianjin, China
fYear
2011
fDate
26-28 July 2011
Firstpage
3599
Lastpage
3602
Abstract
Pitch period is an important parameter of speech recognition and speech synthesis. Pitch period detection has been focused on the field of audio processing research. An algorithm is presented for pitch detection of musical signals. It is based on the AMDF method with a number of modifications that combine to prevent errors. The algorithm proposed here has been proved simple and implemented efficiently. There is no upper limit on the frequency search range, so the algorithm is suited for high-pitched music. A comparative study between this algorithm and the AMDF is also given.
Keywords
audio signal processing; music; speech recognition; speech synthesis; AMDF method; audio processing research; average magnitude difference function; high-pitched music; musical signals; pitch extraction; pitch period detection; speech recognition; speech synthesis; Algorithm design and analysis; Correlation; Databases; Error analysis; Frequency estimation; Harmonic analysis; Signal processing algorithms; AMDF; musical signals; pitch detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6001799
Filename
6001799
Link To Document