Computer music

Individuals throughout time have had a desire to reach beyond their surrounding intellectual and physical environment and explore new territories. Throughout their lives they have continually acquired knowledge. Technology is the application of this knowledge to solve problems. As the knowledge base of humankind has grown at an exponential rate, the presence of technology has also grown. Today technology has surpassed controls and is moving at a rampant rate of speed permitting the introduction of new levels of knowledge in all different layers of society. This, however, permits the creation and expression of new thoughts without the acquisition of previously required knowledge. Creativity is progressing rapidly without controls and the objects being created are somewhat questionable.

In this paper we propose using parametric modeling by employing a Multi-Pulse Excited Linear Predictive Coded (MPE-LPC) filter to synthesize the guitar. First we introduce different methods for sound synthesis. A detailed discussion including the derivation of LPC and MPE presented. Then we study the impulse and steady state response of the guitar signal. An implementation of the MPE-LPC method to model the guitar is covered in detail and opportunities to improve the compression ratio are discussed. We then present simulation results with a set of fixed parameters, which are used as a benchmark to observe performance trade-offs by varying the model parameters to improve the compression ratio. Finally, we discuss limitations of the modeling algorithm for use with wide-band transient musical sounds and possible applications of the MPE-LPC model as a method to dynamically calculate samples for use with wavetable synthesis of steady state sounds.