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;