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Multimedia Systems: Compression Techniques

    https://eclass.uoa.gr/modules/document/file.php/D246/Lectures/compression.pdf
    Multimedia 3-compre.frm 3 CONTENT 1. Motivation 2. Requirements 3. Fundamentals 4. Basic Encoding Steps 5. Basic Audio Coding Schemes 6. JPEG 7. H.261 (px64) 8. Further ITU Video Schemes (H.263, H.3xx) 9. MPEG-1 10. MPEG-2 11. MPEG-4 12. Wavelets 13. Fractal Image Compression 14. Conclusion Multimedia 3-compre.frm 4 1. Motivation

Audio Compression - an overview | ScienceDirect Topics

    https://www.sciencedirect.com/topics/computer-science/audio-compression
    Here are the main steps in the audio compression process. 1. Sampling and preprocessing 2. Sub-band coding 3. Transform coding (optional) 4. Quantization according to psychoacoustic masking threshold 5. Multichannel bit allocation (optional) 6. Huffman coding

Audio Compression Basics | Universal Audio

    https://www.uaudio.com/blog/audio-compression-basics/
    The “knee” refers to how the compressor transitions between the non-compressed and compressed states of an audio signal running through it. Typically, compressors will offer one, or in some instances a switchable choice between both, a "soft knee" and a "hard knee” setting.

Audio Fundamentals, Compression Techniques & Standards

    http://ce.sharif.edu/courses/91-92/2/ce873-1/resources/root/Class%20Notes/MMN-lec3-Audio-911121.pdf
    Some techniques for sound compression: PCM - send every sample DPCM - send differences between samples ADPCM - send differences, but adapt how we code them LPC - linear model of speech formation CELP - use LPC as base, but also use some bits to code corrections for the things LPC gets wrong.

Basic Audio Compression Techniques | SpringerLink

    https://link.springer.com/chapter/10.1007%2F978-3-319-05290-8_13
    In this chapter, compression of audio information is reviewed, with special consideration paid to speech compression. To begin with, we recall some of the issues covered in Chap. 6 on digital audio in multimedia. Here, this is combined with techniques that exploit the temporal redundancy present in audio signals.

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