Speech Compression and Enhancement using Wavelet Coders

Satish Kumar; O. P. Singh; G. R. Mishra; Saurabh Kumar Mishra; Akanksha Trivedi

In the field of communication system there is always a trade-off between compression ratio (CR) and quality of signal when it comes to the lossy compression technique. In digital telephony system speech compression and high-quality of speech is crucial, because with a very limited bandwidth, service is provided with a huge number of users, so to improve the efficiency of bandwidth and for higher SNR an effective speech coder is required. In recent years discrete wavelet transform (DWT) emerged as a very effective technique for image and speech signal analysis. This paper presents wavelet compression technique by which the ratio of compression and signal to noise of a speech signal can be balanced. The results have been simulated on Mat Lab toolbox 7.10, clearly displays the values of SNR and CR for male and female speech signals using Haar and db6 wavelet.

Select Volume / Issues:

• Volume 3 Issue 6, Nov. 2012

Year:

2012

Type of Publication:

Article

Keywords:

Signal to Noise Ratio; Discrete Wavelet Transform; Wavelet coefficient and Compression Ratio

Journal:

IJECCE

Volume:

3

Number:

6

Pages:

1368-1372

Month:

November