Real-time Signal Processing Algorithms: For Cochlear Implant Applications - Tapa blanda

Ramachandran, Rohith

 
9783639140705: Real-time Signal Processing Algorithms: For Cochlear Implant Applications
Tapa blanda
ISBN 10: 3639140702 ISBN 13: 9783639140705
Editorial: VDM Verlag, 2009

Sinopsis

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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Reseña del editor

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.

Biografía del autor

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.

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Editorial
VDM Verlag
Año de publicación
2009
Idioma
Inglés
ISBN 10 
3639140702
ISBN 13 
9783639140705
Encuadernación
Tapa blanda
Número de páginas
96
Contacto del fabricante
no disponible
Persona responsable
no disponible