Adaptive noise energy estimation in pathological speech signals

Author

Manfredi, Claudia

Author_Institution

Dept. of Electron. & Telecommun., Florence Univ., Italy

Volume

47

Issue

11

fYear

2000

Firstpage

1538

Lastpage

1543

Abstract

For pathological voices, spectral noise is closely related to the degree of perceived hoarseness. In this paper, noise variations are tracked during an utterance by means of an adaptive version of the normalized noise energy method (H. Kasuya et al., J. Acoust. Soc. Amer., vol. 80, no. 5, p. 1329-34, 1986). A first step is devoted to pitch estimation, which allows defining the varying optimal time window length for noise retrieval, avoiding empty "dip" regions. The approach Is tested on synthetic data and applied to real data coming from cordectomised adult male patients.

Keywords

adaptive signal processing; medical signal processing; speech processing; adaptive noise energy estimation; cordectomised adult male patients; pathological speech signals; perceived hoarseness degree; pitch estimation; synthetic data; Continuous wavelet transforms; Frequency estimation; Jitter; Noise robustness; Pathology; Signal analysis; Signal to noise ratio; Speech analysis; Speech enhancement; Wavelet transforms; Adult; Biomedical Engineering; Humans; Male; Speech Acoustics; Speech Disorders; Speech-Language Pathology; Vocal Cords;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.880107

Filename

880107