Abstract

Silence compression algorithm for voice message compresses sound files. In This paper software shows greater efficiency for the sound files having number of silence runs. It can be used in telecommunication for sending voice messages in compressed form the advantage of context adaptive voice message Silence compression is that it frequently smooths out the data, which makes it even more suitable (4). In This paper we get an extra unexpected benefit from lossy compression, above and beyond the compression itself. Silence compression software has successfully been tested for 25 wav files sampled at 8000hz ,16 bits .

Highlights

  • Manipulation of sound by computers is possible since the birth of digital computers, but only in the last five years or so has inexpensive hardware brought this to the average user’s desktop

  • We frequently use lossy compression in a two-phase process: a lossy stage followed by a lossless stage [4]

  • Context adaptive algorithm of Silence compression on sound files is the equivalent of run-length encoding on normal data files

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Summary

Voice Compression

Manipulation of sound by computers is possible since the birth of digital computers, but only in the last five years or so has inexpensive hardware brought this to the average user’s desktop. The ability to play digitized sound is expected to be an integral part of the “multimedia revolution.”. The use of multimedia focuses the issue of data compression for users. Computer graphics in particular quickly take up all available disk space. Digitized audio is far less voracious in its storage requirements, but even so it can quickly swallow up all free space on the average user’s hard disk. For computer users, the world of telephony has used digitized audio since the 1960s, and extensive research has been done on effective methods of encoding and compressing audio data. The world’s telecommunications companies were intensely aware of the cost of transmission bandwidth and made efforts to reduce expenses in this area [1]

Lossless Compression of Sound
In Lossy Compression
Context Adaptive Voice Message Silence Compression
Digital Audio Concepts
Sampling Variables
Voice Message Silence Compression
Flow Chart of Context Adaptive Algorithm of Silence Compression
Conclusions
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