Implementation of strategy based on auditory model based wavelet transform speech processing on DSP dedicated to cochlear prosthesis

The use of auditory models in cochlear implant sound processing strategies aims to improve cochlear implant user perception of speech. This paper presents the implementation of a cochlear implant signal processing strategy on DSP. As for concretization, TMS320C6416 DSP board was chosen. The aim of the new strategy is to obtain more natural sound in CIs by better mimicking the human auditory system. Knowing that, wavelet transform, is characterized by its time-frequency resolution that is similar to the hearing perception procedure, we concern our work to develop a strategy based on auditory model based continuous wavelet transform processing DSP implementation. To gain software flexibility and interactivity, the Assembly programming environment is used. The paper chooses the processing algorithm which is taken to achieve a real-time throughput. This experimentation provides directives guidelines on our work to treat the speech signal sample per sample. Code energies of input samples can be obtained and send one per one in weft to the cochlear implant internal part in duration less than the arrival of the second sample for real time operations.