Study on Joint Speech Encoding Technology based on Compressed Sensing

Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Enterprise Software
Format: PDF
In this paper, a new joint speech encoding scheme based on compressed sensing was proposed. In this encoding algorithms, the compressed sensing reconstruction and PCM (Pulse Coding Modulation) were used for the speech signal encode. For the speech signal, the high frequency and low frequency coefficients can be acquired by using the wavelet transform based on the lifting scheme. For the details coefficients, using a hard threshold to remove the smaller coefficients, the high frequency coefficients are sparse, so the high frequency can be reconstructed with the compressed sensing method.

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