Intelligent Sound

Audio compression achieves reduction in the transmission bandwidth requirement of digital audio streams and also the storage size of audio files. Information redundancy is reduced in both lossy and lossless compressions with the help of methods like coding, pattern recognition and linear prediction. There are different technologies that are used for the purpose that include MP2 Systems, MP3 Systems, PAC, VQF and others.

Audio compression is the reduction of transmission bandwidth requirement of digital audio streams and the storage size of audio files. Lossy and lossless compression algorithms are used to achieve audio compression. They reduce the information redundancy with the use of methods like coding, pattern recognition and linear prediction.

There are different types of audio compression technologies that include MP2 systems, MP3 systems, PAC, VQF, Windows WMA systems, TAC systems and sound cards.

Audio compression technologies reduce the data size using a variety of digital signal processing technologies without any loss of sound quality. They also consider human auditory characteristics for the purpose. Audio compression technologies reduce the data size either by not recording the sounds that are difficult for humans to hear, by transforming them into other sounds or by completely eliminating them.

Audio compression reduces the bandwidth requirement of digital audio streams and the data size of audio files. The data compression technologies include the likes of MP2 Systems, MP3 Systems, PAC, VQF, Windows WMA Systems, TAC Systems and sound cards. Lossy and lossless algorithms have been specifically optimized that provide greater compression rates and find application in mainstream consumer audio devices.