Blind Speech Enhancement Using Adaptive Algorithms

Speech enhancement is used in all wireless telecommunication systems. Some of the interferences like white noise, periodic noises like human noise, and room reverberations may affect the speech quality. The delinquent of speech enhancement is communicated in this chapter. Least mean square (LMS), normalized least mean square (NLMS), and dual fast normalized least mean square (DFNLMS) are discussed in this chapter. The objective criteria are calculated for segmental signal-to-noise ratio, segmental mean square error, signal-to-noise ratio, and comparison results of the adaptive algorithms are discussed.