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Research Article Open Access
Compared to most digital data types, with the exception of digital audio, the data rates associated with uncompressed digital audio are substantial. Digital audio compression enables more efficient storage and transmission of audio data. The many forms of audio compression techniques offer a range of encoder and decoder complexity, compressed audio quality, and differing amounts of data compression. In this paper a new algorithm for speech signals compression using wavelet transform technique with Discrete Cosine Transform (DCT) technique. The performance of the implemented algorithm is evaluated based on Signal to Noise Ratio (SNR), Root Mean Square Error (MSE) and compression ratio tested on speech signals. In this paper a Wavelet & cosine hybrid model, based speech coder is implemented in software using Matlab.
DWT, DCT, Speech compression & decompression, MSE, SNR. , Speech pathology,Speech Therapy,Speech Therapy for Children,Speech Therapy for Adults,Speech Therapy Materials,Speech Therapy Exercise,Autism Speech Therapy,Speech and Language pathology,Communicate Speech pathology,Bilingual Speech pathology,Medical Speech pathology,Speech Impediment / speech disorder,Interventional Speech Therapy,Speech and Language Disorders