Low Delay Scalable Decomposition of Speech Waveforms

Decomposition of speech signals into periodic and noise components is widely used in speech coding to facilitate efficient compression. Existing decomposition schemes are either too inflexible to model transient changes in the speech signal and require large delay or alternatively produce a large set of parameters that is not scalable to low rate applications. This paper proposes a scheme that requires only a single frame of speech and produces a scalable decomposition whose reconstructed accuracy can be varied according to the bit rate available for representation of the parameters.