srjecsSRJECSSRJECS2788-9408https://doi.org/10.47310/srjecs.2023.v03i02.001The Effect of ZCR on Enhanced Speech Compression MethodZinahS.AbduljabbarThe objective of the speech compression process is to reduce the storage space required and eliminate the time required to send data while maintaining the quality of the recovered speech with agreeable human hearing perception. In this work, the enhanced speech compression scheme is effectively introduced. Enhancement filter of type Normalized Least Mean Square (NLMS) is used to enhance the noisy input speech signal, Zero Cross Rate (ZCR) is used to detect the silent sections in speech file while Discrete Wavelet Transform (DWT) is used to map speech signal to other representation (frequency domain) through the lossless encoding process, Huffman is adopted as lossless encoding operation in this scheme to obtain the compressed form of speech signal. To assess the implementation of the work Compression Factor (C.F) and Peak Signal to Noise Ratio (PSNR) are used.