Tolerance of FO adaptive time-frequency analysis for spectrographic representations

Author

Kawahara, Hideki ; Morise, Masanori

Author_Institution

Fac. of Syst. Eng., Wakayama Univ., Wakayama, Japan

fYear

2010

fDate

24-28 Oct. 2010

Firstpage

601

Lastpage

604

Abstract

Spectrogram is a substrate for wide range of speech technologies. However, overlaid excitation information and response information make it difficult to extract and manipulate perceptually or physiologically relevant attributes directly. An F0 adaptive procedure to remove locally periodic time-frequency structures from STFT (short term Fourier transform) based spectrographic representations enabled flexible manipulation of such attributes. The procedure is called TANDEM-STRAIGHT and is currently used in various applications. This article introduces tolerance of such representation to F0 estimation errors and outlines an alternative design of TANDEM-STRAIGHT.

Keywords

adaptive signal processing; speech processing; time-frequency analysis; Fo adaptive time-frequency analysis; STFT; attributes; spectrogram; spectrograph representation; speech technology; Estimation error; Frequency domain analysis; Smoothing methods; Spectral analysis; Speech; Speech processing; periodicity; source filter model; spectrogram; speech modifications;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing (ICSP), 2010 IEEE 10th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-5897-4

Type

conf

DOI

10.1109/ICOSP.2010.5655859

Filename

5655859