Real-time Signal Processing Algorithms: For Cochlear Implant Applications - Couverture souple

Ramachandran, Rohith

 
9783639140705: Real-time Signal Processing Algorithms: For Cochlear Implant Applications
Couverture souple
ISBN 10 : 3639140702 ISBN 13 : 9783639140705
Editeur : VDM Verlag, 2009

Synopsis

Cochlear implant (CI) patients have difficulty understanding tonal languages which use pitch variations to convey meaning because of poor pitch perception. The ability of CI patients to communicate in noisy environments is severely degraded. Therefore, pitch-detection and (spatial) noise suppression is of importance to current cochlear implant devices. This thesis provides the details of real-time implementations that address these concerns. A pitch-detector was implemented to estimate the pitch and a beamformer was implemented to suppress spatial noise. The pitch-detection and the beamforming algorithms were implemented on an ARM based processor of a Personal Digital Assistant (PDA). The pitch-detection algorithm is based on the autocorrelation function. Its real-time performance was measured and its efficiency in the presence of speech-shaped noise and babble noise was evaluated. The beamforming algorithm implemented was the Griffith?s beamformer. Objective and subjective tests for different signal-to-noise ratio levels of speech-shaped noise were conducted to evaluate its performance. This thesis includes the results of these evaluations.

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Présentation de l'éditeur

Cochlear implant (CI) patients have difficulty understanding tonal languages which use pitch variations to convey meaning because of poor pitch perception. The ability of CI patients to communicate in noisy environments is severely degraded. Therefore, pitch-detection and (spatial) noise suppression is of importance to current cochlear implant devices. This thesis provides the details of real-time implementations that address these concerns. A pitch-detector was implemented to estimate the pitch and a beamformer was implemented to suppress spatial noise. The pitch-detection and the beamforming algorithms were implemented on an ARM based processor of a Personal Digital Assistant (PDA). The pitch-detection algorithm is based on the autocorrelation function. Its real-time performance was measured and its efficiency in the presence of speech-shaped noise and babble noise was evaluated. The beamforming algorithm implemented was the Griffith?s beamformer. Objective and subjective tests for different signal-to-noise ratio levels of speech-shaped noise were conducted to evaluate its performance. This thesis includes the results of these evaluations.

Biographie de l'auteur

Rohith Ramachandran was born in Bangalore,India. He entered M. S Ramaiah Institute of Technology, Bangalore in October 2000,to pursue his Bachelor's degree in Electronics and Communications Engineering. From August 2006, he has been a student in The University of Texas at Dallas to pursue his Master of Science degree in Electrical Engineering.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag
Date d'édition
2009
Langue
anglais
ISBN 10 
3639140702
ISBN 13 
9783639140705
Reliure
Broché
Nombre de pages
96
Coordonnées du fabricant
non disponible
Personne responsable
non disponible