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MPEG/Audio Compression Tutorial Mike Blackstock CPSC 538a January 11, 2004.

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Presentation on theme: "MPEG/Audio Compression Tutorial Mike Blackstock CPSC 538a January 11, 2004."— Presentation transcript:

1 MPEG/Audio Compression Tutorial Mike Blackstock CPSC 538a January 11, 2004

2 CPSC 538a MPEG Audio Tutorial January 12, of 17 Overview Digital Sound Psychoacoustics Time to Frequency Domain Transformation MPEG/Audio Basic Algorithm Related Work Web references

3 CPSC 538a MPEG Audio Tutorial January 12, of 17 Digital Sound Basics Sound is a continuous wave through the air Made up of pressure differences, detected by measuring pressure levels at a location. Microphone changes analog sound pressure to analog voltage levels. To digitize sound, the signal must be sampled in time and encoded into numbers Quantization divides signal strength into levels, linearly or logarithmically. 8 bits –> 256 levels; 16 –> levels

4 CPSC 538a MPEG Audio Tutorial January 12, of 17 Digital Audio Questions How often should sound be sampled? –Need to sample at a rate at least twice as high as highest frequency, otherwise frequency is lost. Nyquist Theorum What quality is required? –Telephone, radio, CD, different quality requirements. –Signal to Noise Ratio (SNR) is a measure of the quality of a signal –noise may be introduced during conversion from sound to voltage and due to sampling/quantization. Format to use? –.au, aiff,.wav, and of course.mp3

5 CPSC 538a MPEG Audio Tutorial January 12, of 17 Psychoacoustics Principles of the human perception of sound MPEG compression algorithm uses model of human hearing to remove data (perceptual coding algorithm) Frequency range is about 20 Hz to 20 kHz, most sensitive at 2 to 4 KHz. Dynamic range (quietest to loudest) is about 96 dB Normal voice range is about 500 Hz to 2 kHz Low frequencies -> vowels, bass; High -> consonants

6 CPSC 538a MPEG Audio Tutorial January 12, of 17 Human Hearing Sensitivity Experiment: Put a person in a quiet room. Raise level of 1 kHz tone until just barely audible. Vary the frequency, plot:

7 CPSC 538a MPEG Audio Tutorial January 12, of 17 Human Frequency Masking Experiment: Play 1 kHz tone (masking tone) at fixed level (60 dB). Play test tone at a different level (e.g., 1.1 kHz), and raise level until just distinguishable. Vary the frequency of the test tone and plot the threshold when it becomes audible

8 CPSC 538a MPEG Audio Tutorial January 12, of 17 Frequency Masking

9 CPSC 538a MPEG Audio Tutorial January 12, of 17 Temporal Masking If we hear a loud sound, then it stops, it takes a little while until we can hear a soft tone nearby. Experiment: Play 1 kHz masking tone at 60 dB, plus a test tone at 1.1 kHz at 40 dB. Test tone can't be heard (it's masked). Stop masking tone, then stop test tone after a short delay. Adjust delay time to the shortest time when test tone can be heard (e.g., 5 ms). Repeat with different level of the test tone and plot:

10 CPSC 538a MPEG Audio Tutorial January 12, of 17 Combination

11 CPSC 538a MPEG Audio Tutorial January 12, of 17 Time to Frequency Transform Transforming time/level input signals to frequency/power FFT (here) most popular – fast and easy, and in most numerical methods texts. Used by psychoacoustic model. DCT often used for spatial frequency since represents linear signals better. Something similar used by filter bank. Wavelets use non-sine/cosine functions for better performance on data with sharp discontinuities. Demo

12 CPSC 538a MPEG Audio Tutorial January 12, of 17 MPEG Basics

13 CPSC 538a MPEG Audio Tutorial January 12, of 17 Algorithm overview 1.Use convolution filters to divide the audio signal (e.g., 48 kHz sound) into 32 frequency subbands --> subband filtering. 512 sample FIFO buffer used. 2.Determine amount of masking for each band caused by nearby band using the psychoacoustic model shown above. 3.If the power in a band is below the masking threshold, don't encode it. 4.Otherwise, determine number of bits needed to represent the coefficient such that noise introduced by quantization is below the masking effect (Recall that one fewer bit of quantization introduces about 6 dB of noise). 5.Format bitstream

14 CPSC 538a MPEG Audio Tutorial January 12, of 17 Example After analysis, the first levels of 16 of the 32 bands are: Band Level(db) If the level of the 8th band is 60dB, it gives a masking of 12 dB in the 7th band, 15dB in the 9th. Level in 7th band is 10 dB ( < 12 dB ), so ignore it. Level in 9th band is 35 dB ( > 15 dB ), so send it. Only the amount above the masking level needs to be sent, so instead of using 6 bits to encode it, we can use 4 bits saving 2 bits (= 12 dB).

15 CPSC 538a MPEG Audio Tutorial January 12, of 17 MPEG layers Layer 1 –DCT-type filter with one frame –equal frequency spread per band –Psychoacoustic model only uses frequency masking. Layer 2 –Use three frames in filter –before, current, next, a total of 1152 samples –models a bit of temporal masking Layer 3 (mp3) –Better critical band filter is used (non-equal frequencies) –psychoacoustic model includes temporal masking effects –takes into account stereo redundancy –uses Huffman coder

16 CPSC 538a MPEG Audio Tutorial January 12, of 17 Related Work MPEG phase 2 –Multichannel (5.1) audio support –Significant in driving DVD sales MPEG-4 Structured Audio –Efficient, flexible description of synthetic music Copy protection and copyright Speech Processing –Uses many similar techniques

17 CPSC 538a MPEG Audio Tutorial January 12, of 17 References SFU CMPT 365 Course Contents Spring 2003 Basics of Digital Audio, retrieved January 7, Audio Compression, retrieved January 7, Audio and Multimedia Layer 3, January 8, MP3 Backgrounder January 8, 2004http://www.audioactive.com/intro/papers/backbone.html Scheirer, E. D., The MPEG-4 Structured Audio, Proceedings of ICASSP98 Scheirer, E.D., SAOL / MPEG-4 Structured Audio homepage, PERKOWSKI, M. A., Speech Signals in Time and Frequency Domain frequency-domain.pdf, January 11, frequency-domain.pdf Graps, A. “An Introduction to Wavelets" IEEE Computational Sciences and Engineering, Volume 2, Number 2, Summer 1995, pp Also available at Signals Demonstrations


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