Estudo e implementação do algoritmo SSP para detecção de fala e redução de ruído em aparelhos auditivos

Abstract

This work is based on the study of current challenges found in the recognition of audio signals and noise reduction for hearing aid users, in order to study the application of a digital signal processing algorithm, model SSP (Speech Sensitive Processing), to enable the process of detecting and restoring external audio signals, minimizing voice distortions and reducing noise resulting from the process, so that the final delivery causes greater comfort and external understanding to the user. This work contains current technical and experimental data made available by authors, until the year 2021, which identified needs for improvements in the noise reduction process and adaptation to advanced technologies in signal processing and validated the use of effective algorithms to aid the process. Which were responsible for the idealization of the defense theme, with the purpose of carrying out the implementation studies in order to find a technical possibility of an alternative method of applying such implementations and to facilitate the understanding of the development of the chosen study algorithm. Therefore, using the Matlab software to validate the algorithm development processes.