Title :
Classified highband excitation for bandwidth extension of telephony signals
Author :
Yasheng Qian ; Kabal, Peter
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
Abstract :
Current telephone networks compromise bandwidth for efficiency. The impairment of the audio quality in telephony has become a problem for the rapidly emerging sophisticated wideband telecommunications systems. We present a classified bandwidth extension algorithm which recovers the missing highband portion of telephony signals. We describe a new highband excitation generator, a Pitch-Synchronized-BandPass-Shifted-Sum excitation for strongly harmonic signals such as some voiced phonemes or some music audio signals. For other signals, a BandPass Envelope Modulated Gaussian Noise is used as the highband excitation. The highband spectrum envelope and the excitation gain are estimated using classified Gaussian Mixture Models. Objective measurements of spectrum sections and informal subjective tests of both reconstructed telephony speech and audio signals show more highband harmonic textures for strongly harmonics signals than previous bandwidth extension methods.
Keywords :
Gaussian noise; audio signals; mixture models; speech synthesis; telephony; Gaussian mixture models; audio quality; bandpass envelope modulated Gaussian noise; bandwidth extension algorithm; harmonic signals; harmonic textures; highband excitation generator; music audio signals; pitch-synchronized-bandpass-shifted-sum excitation; reconstructed telephony speech; spectrum envelope; telephony signals; voiced phonemes; wideband telecommunications systems; Gain; Harmonic analysis; Narrowband; Speech; Vectors; Wideband;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1