A novel approach for voice quality enhancement for VoIP applications using DSP processor

Voice quality enhancement is the major concern in telecommunications. In this paper a novel approach is proposed for Background Noise reduction (BGNR) and Acoustic Echo cancellation (AEC) for real time speech for VoIP applications. This paper aims to improve speech intelligibility and reduce listening effort. Voice quality enhancement is achieved by removing unwanted echo and noise of the signal. BGNR can be achieved by using Adaptive noise cancellation method with the help of LMS algorithm. Acoustic echo is of poor coupling between the microphone and speaker in handset/hands free devices, its revocation is achieved by AAEC(Adaptive AEC) with the help of Normalized LMS(NLMS) algorithm on a dedicated ADSP BF533-EZ KIT processor after satisfactory results in MATLAB simulation. We achieved 21.52db and 10.57db voice quality improvement within the permissible speech delay of 200ms defined by ITU-T standards. This approach is very inexpensive to small entrepreneurs.