Title :
Supervised sparse coding strategy in hearing aids
Author :
Sang, Jinqiu ; Hu, Hongmei ; Li, Guoping ; Lutman, Mark E. ; Blee, Stefan
Author_Institution :
Inst. of Sound & Vibration Res., Univ. of Southampton, Southampton, UK
Abstract :
Hearing impaired people are struggling more understanding speech that is corrupted with noise than normal hearing listeners. In this paper we develop a supervised single channel sparse coding (SC) strategy for hearing aid (HA) users in noise environment. In this algorithm, the sparse coding and shrinkage principles are applied to noisy speech. The algorithm is implemented in the temporal domain by arranging one-dimensional speech into a data matrix. The strategy not only reduces background noise but also extracts key information from speech. The performance of the supervised sparse coding strategy is compared with other state-of-art noise reduction strategies (Wiener filtering and spectral subtraction) in both objective and subjective experiments. Results show that sparse coding leads to better sound quality (objective measures) and preserves the level of intelligibility (subjective measures).
Keywords :
Wiener filters; channel coding; hearing aids; matrix algebra; signal denoising; speech coding; Wiener filtering; data matrix; hearing aid users; hearing impaired people; noise reduction strategies; noisy speech; objective measures; one-dimensional speech; shrinkage principles; sound quality; spectral subtraction; subjective measures; supervised single channel sparse coding strategy; temporal domain; Noise measurement; Noise reduction; Signal to noise ratio; Speech; Speech coding;
Conference_Titel :
Communication Technology (ICCT), 2011 IEEE 13th International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-61284-306-3
DOI :
10.1109/ICCT.2011.6157994