Audio personalization using head related transfer function in 3DTV
In 3DTV, head related transfer function (HRTFs) can promote immersive feeling of listeners because it contains spatial information on sound source. Audio can be customized through using personalized HRTF. So, listening distortions are caused if HRTFs do not match anthropometric parameters concerning different listeners. In this paper, personalized method is proposed to customize individual HRTF based on non-negative matrix factorization (NMF) and support vector regression (SVR). The anthropometric parameters are selected and high dimensional HRTFs are decomposed into low dimensional matrix using NMF. Nonlinear regression model is derived between the selected anthropometric parameters and low dimensional matrix by SVR. Experimental results demonstrated that personalized HRTF has better performance than using the same HRTF for different listeners in 3DTV audio.