Research and Realization of a SVS Algorithm Based on STFT and NDFT

Author

Chen, Rongxi ; Luo, Zhixing ; Zhong, Yubin ; Luo, Xueliang ; Gao, Yiming ; Zheng, Guoli

Author_Institution

Sch. of Math. & Inf. Sci., Guangzhou Univ., Guangzhou, China

Volume

2

fYear

2011

fDate

14-15 May 2011

Firstpage

396

Lastpage

400

Abstract

In this paper, a singing voice splitting (SVS) system is researched and implemented by short-time Fourier transform (STFT) and Nonuniform Discrete Fourier Transform (NDFT). Specifically, there are four processes: T-F decomposition, main pitch detection, T-F information extraction and singing synthesis. Firstly, choose STFT as T-F analysis tool. Then, use NDFT realizing main pitch detection. Next, extract various order harmonics of each frame of music signals, getting the short-time spectrum. Finally, gain singing signals from the short-time spectrum by overlap-add (OLA) algorithm. The experiment result shows that the SVS system based on STFT and NDFT can effectively split singing signals.

Keywords

discrete Fourier transforms; music; signal synthesis; speech processing; NDFT; STFT; SVS algorithm; T-F analysis tool; T-F decomposition; T-F information extraction; music signals; nonuniform discrete Fourier transform; overlap-add algorithm; pitch detection; short-time Fourier transform; short-time spectrum; singing synthesis; singing voice splitting system; Discrete Fourier transforms; Harmonic analysis; Multiple signal classification; Time frequency analysis; T-F analysis; main pitch detection; singing synthesis; singing voice splitting;

fLanguage

English

Publisher

ieee

Conference_Titel

Network Computing and Information Security (NCIS), 2011 International Conference on

Conference_Location

Guilin

Print_ISBN

978-1-61284-347-6

Type

conf

DOI

10.1109/NCIS.2011.178

Filename

5948861