Olli Ali-Yrkko

Methods and apparatus for coding a speech signal using variable order filtering

The method concerns digital coding of a speech signal. The method is based on the use of a model of speech production comprising an excitation and shaping of the excitation in a filtering operation in such a manner that the order of the filtering which models the shaping of the excitation signal occurring in the vocal tract is adapted according to the speech signal to be coded. By means of the method it is possible to achieve a total modelling for the speech signal--and thus efficient speech coding--which is better than methods using fixed-order, model-based filtering of the speech tract. From the standpoint of the efficiency of the coding, by decreasing a needlessly large order of the filtering method, the bit rate to be used for coding the excitation signal can be increased or the bit rate resources thus freed up can be allocated for use in the error correction coding. On the other hand, the order of the filtering operation modelling the vocal tract can if necessary be increased if this is of essential benefit in the coding, and correspondingly, the bit rate to be used in coding the excitation signal can be lowered.

Component-based development of DSP software for mobile communication terminals

Abstract DSP software development has been tied down by extreme computational requirements. Furthermore, the DSP development tools available today are less advanced than in other embedded software design. This has lead to DSP software architectures that have not taken into account future expansion needs. Therefore, DSP software architectures have been inherently closed. Now, as system complexity increases, this design methodology becomes more of a burden, since it does not support component-based DSP software development that requires open interfaces. In this paper, mobile-communications DSP software architectures are studied as cases, and key areas for improvements towards more open DSP software development are identified. Proposed solutions are judged against the limited resources of mobile communication terminals and the characteristics of communication DSPs.