Initial Evaluation of Maximum Likelihood Continuity Mapping for Low Bit Rate Articulatory Coding of VQ Code Sequences

摘要

A new approach to the compression of vector quantized (VQ) speech sequences is evaluated. The technique uses a method called maximum likelihood continuity mapping to learn a mapping between ariticulation and speech acoustics. Smooth articulator paths are then derived from VQ codes sequences. The paths are subsequently sampled, quantized, and transmitted along with additional information that allows perfect recovery of the VQ code sequences. A decoder takes the transmitted articulator paths and recovers the correct VQ code sequence for resynthesis of the speech wave- Form. The algorithm has not achieved compression yet, requiring an average of 6.04 bits/frame to transmit a 6 bit VQ code sequence, and 9.96 bits/frame to transmit a 10 bit VQ code sequence. However, modifcations to the algorithm are currently under investigation, and we expect to implement improvements to help us compress VQ code sequences. Results of the improved algorithm will be presented at the conference.