Improvement of Shimmer Parameter of Oesophageal Voices Using Wavelet Transform
نویسندگان
چکیده
This chapter presents an oesophageal speech enhancement algorithm. Such an exceptionally special type of voice is due to the laryngectomy undergone by those persons with larynx cancer. An oesophageal voice has extremely low intelligibility. The parameter values characterising the voice go beyond normal levels. This chapter proposes a method to improve its quality, which consists in improving Shimmer parameter using Wavelet transform and stabilizing the transfer function poles of the vocal tract model so as to improve a signal’s formants. With this aim, the joint use of two techniques has been applied: on the one hand, Digital Wavelet Transform technique to normalise Shimmer and, on the other hand, an algorithm that transforms the modulus and phase of vocal tract’s poles technique. The final speech improvement has been measured with the help of Multidemensional Voice Program (MDVP) (Deliyski, 1993) tools and the Shimmer and Harmonic to Noise Ratio (HNR) parameters.
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