Spoken Digit Compression: A Comparative Study Between Discrete Wavelet Transforms And Linear Predictive Coding

In modern world communication service providers are continuously met with the challenge of accommodating more users with in a limited allocated bandwidth. Due to this motivation service providers and manufactures are continuously in search of low bit rate speech coders that deliver high quality speech. This paper deals with spoken digit compression. Linear predictive coding and discrete wavelet transforms are used to materialise speech compression. We used Malayalam one of the south Indian language for this experiment. We could successfully compress and reconstruct Malayalam spoken words with perfect audibility using LPC and db4 wavelets. From the result we can see that the performance of wavelet transform is better than LPC.