Distributed and collaborative sound environment information extraction in binaural hearing aids
| Autor: | Inma Mohino-Herranz, Manuel Utrilla-Manso, Roberto Gil-Pita, Héctor A. Sánchez-Hevia, Manuel Rosa-Zurera, Cosme Llerena-Aguilar |
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| Rok vydání: | 2016 |
| Předmět: |
Hearing aid
Computer science business.industry Speech recognition medicine.medical_treatment Real-time computing Feature extraction 020206 networking & telecommunications 02 engineering and technology computer.software_genre Field (computer science) 030507 speech-language pathology & audiology 03 medical and health sciences Noise Information extraction Transmission (telecommunications) 0202 electrical engineering electronic engineering information engineering medicine Wireless 0305 other medical science business computer Data transmission |
| Zdroj: | SAM |
| DOI: | 10.1109/sam.2016.7569708 |
| Popis: | Current research in the field of Wireless Acoustic Sensor Networks (WASN) is gradually introducing the use of sound spatial techniques in the field of binaural hearing aids, in which sound environment information must be extracted in order to tune up the main hearing aid algorithms. In binaural hearing aids, computational capability, memory and data transmission are strictly constrained, which makes the use of distributed and collaborative approaches suitable. This paper proposes solutions for the collaborative and distributed sound environment information extraction through the estimation of the different noise levels, analyzing both the performance and the computational and transmission requirements. Results demonstrate that the proposed distributed solutions highly reduce the transmission rate and the computational cost, while maintaining the accuracy in the estimations. |
| Databáze: | OpenAIRE |
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