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In this paper real time system identification is implemented on TMS320C6713 for speech signal using standard IEEE sentence (SP23) of NOIZEUS database with different types of real world noises at different level SNR taken from AURORA data base. The performance is measured in terms of signal to noise ratio (SNR) improvement. The implementation is done with “C’ program for least mean square (LMS) and recursive least square (RLS) algorithms and processed using DSP processor with Code composer studio.

Real Time System Identification of Speech Signal Using Tms320c6713