A spectral LF model based approach to voice source parameterisation

This paper presents a new method of extracting LF model based parameters using a spectral model matching approach. Strategies are described for overcoming some of the known difficulties of this type of approach, in particular high frequency noise. The new method performed well compared to a typical time based method particularly in terms of robustness against distortions introduced by the recording system and in terms of the ability of parameters extracted in this manner to differentiate three discrete voice qualities. Results from this study are very promising for the new method and offer a way of extracting a set of non-redundant spectral parameters that may be very useful in both recognition and synthesis systems.

• Type: Journal
• Year: 2010
• Where: INTERSPEECH
• Authors: John Kane, Mark Kane, Christer Gobl
• Keywords: Discrete Voice Qualities, INTERSPEECH 2010, Model Based Parameters, Non-redundant Spectral Parameters, Signal Processing