Integrating pitch and LPC-residual information with LPC-cepstrum for text-independent speaker recognition.

Clipped LPC Cepstrum and Its Application to Text-Independent Speaker Identification

A new modification of the LPC cepstrum of speech signal called clipped LPC (CLPC) cepstrum is proposed. In the CLPC cepstrum is reduced the influence of the low level LPC spectrum’s regions. Three LPC cepstrums as features in a textindependent speaker identification task were evaluated using reading text in Bulgarian language collected over noisy telephone lines. These cepstrums are: standard L...

Usefulness of the LPC-residue in text-independent speaker verification

This paper is a contribution to automatic speaker recognition. It considers speech analysis by linear prediction and investigates the recognition contribution of its two main resulting components, namely the synthesis filter on one hand and the residue on the other hand. This investigation is motivated by the orthogonality property and the physiological significance of these two components, whi...

LPC residual phase investigation

Selective modelling of LPC residual

Pitch-dependent GMMs for text-independent speaker recognition systems

Gaussian mixture models (GMMs) and ergodic hidden Markov models (HMMs) have been successfully applied to model short-term acoustic vectors for speaker recognition systems. Prosodic features are known to carry information concerning the speaker’s identity and they can be combined with the short-term acoustic vectors in order to increase the performance of the speaker recognition system. In this ...