Title :
Frequency recovery of narrow-band speech using adaptive spline neural networks
Author :
Uncini, Aurelio ; Gobbi, Francesco ; Piazza, Francesco
Author_Institution :
Dipt. di Elettronica e Autom., Ancona Univ., Italy
Abstract :
A new system for speech quality enhancement (SQE) is presented. A SQE system attempts to recover the high and low frequencies from a narrow-band speech signal, usually working as a post-processor at the receiver side of a transmission system. The new system operates directly in the frequency domain using complex-valued neural networks. In order to reduce the computational burden and improve the generalization capabilities, a new architecture based on a previously introduced neural network, called the adaptive spline neural network (ASNN), is employed. Experimental results demonstrate the effectiveness of the proposed method
Keywords :
adaptive signal processing; frequency-domain analysis; neural net architecture; speech enhancement; speech intelligibility; splines (mathematics); adaptive spline neural networks; complex-valued neural networks; experimental results; frequency domain; frequency recovery; high frequencies; low frequencies; narrow-band speech; narrow-band speech signal; neural network architecture; post-processor; receiver; speech quality enhancement; transmission system; Adaptive systems; Finite impulse response filter; Frequency; Narrowband; Neural networks; Signal processing; Speech enhancement; Speech processing; Spline; Wideband;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.759868