Digital Audio (2/2) S.P.Vimal CSIS Group BITS-Pilani

Slides:



Advertisements
Similar presentations
Tamara Berg Advanced Multimedia
Advertisements

T.Sharon-A.Frank 1 Multimedia Compression Basics.
School of Informatics CG087 Time-based Multimedia Assets Compression & StreamingDr Paul Vickers1 Compression & Streaming Serving, shrinking, and otherwise.
Time-Frequency Analysis Analyzing sounds as a sequence of frames
Speech & Audio Coding TSBK01 Image Coding and Data Compression Lecture 11, 2003 Jörgen Ahlberg.
Audio 2 Subject:T0934 / Multimedia Programming Foundation Session:9 Tahun:2009 Versi:1/0.
Speech Compression. Introduction Use of multimedia in personal computers Requirement of more disk space Also telephone system requires compression Topics.
Digital Representation of Audio Information Kevin D. Donohue Electrical Engineering University of Kentucky.
CELLULAR COMMUNICATIONS 5. Speech Coding. Low Bit-rate Voice Coding  Voice is an analogue signal  Needed to be transformed in a digital form (bits)
Lecture 7: Spring 2009 Lossless Compression Algorithms
SWE 423: Multimedia Systems Chapter 7: Data Compression (2)
EE2F1 Speech & Audio Technology Sept. 26, 2002 SLIDE 1 THE UNIVERSITY OF BIRMINGHAM ELECTRONIC, ELECTRICAL & COMPUTER ENGINEERING Digital Systems & Vision.
MPEG Audio Compression by V. Loumos. Introduction Motion Picture Experts Group (MPEG) International Standards Organization (ISO) First High Fidelity Audio.
Losslessy Compression of Multimedia Data Hao Jiang Computer Science Department Sept. 25, 2007.
CSc 461/561 CSc 461/561 Multimedia Systems Part A: 1. Audio.
Pulse Modulation CHAPTER 4 Part 3
Fundamental of Wireless Communications ELCT 332Fall C H A P T E R 6 SAMPLING AND ANALOG-TO-DIGITAL CONVERSION.
Department of Computer Engineering University of California at Santa Cruz Data Compression (2) Hai Tao.
COMP 249 :: Spring 2005 Slide: 1 Audio Coding Ketan Mayer-Patel.
EE2F1 Speech & Audio Technology Sept. 26, 2002 SLIDE 1 THE UNIVERSITY OF BIRMINGHAM ELECTRONIC, ELECTRICAL & COMPUTER ENGINEERING Digital Systems & Vision.
SWE 423: Multimedia Systems Chapter 7: Data Compression (4)
Digital Audio Multimedia Systems (Module 1 Lesson 1)
1 Audio Compression Multimedia Systems (Module 4 Lesson 4) Summary: r Simple Audio Compression: m Lossy: Prediction based r Psychoacoustic Model r MPEG.
CS :: Fall 2003 Audio Coding Ketan Mayer-Patel.
GODIAN MABINDAH RUTHERFORD UNUSI RICHARD MWANGI.  Differential coding operates by making numbers small. This is a major goal in compression technology:
Computer Vision – Compression(2) Hanyang University Jong-Il Park.
LECTURE Copyright  1998, Texas Instruments Incorporated All Rights Reserved Encoding of Waveforms Encoding of Waveforms to Compress Information.
Audio Compression Usha Sree CMSC 691M 10/12/04. Motivation Efficient Storage Streaming Interactive Multimedia Applications.
AUDIO COMPRESSION msccomputerscience.com. The process of digitizing audio signals is called PCM PCM involves sampling audio signal at minimum rate which.
COMMUNICATION SYSTEM EEEB453 Chapter 5 (Part IV) DIGITAL TRANSMISSION.
Images, Sound, and Multimedia. No Surprises Images, Sound, Music, and Movies – It’s all numbers – Binary Numbers Today we’ll discuss how multimedia is.
CE Digital Signal Processing Fall 1992 Waveform Coding Hossein Sameti Department of Computer Engineering Sharif University of Technology.
Final Review by Amy Zhang Digital Media Computing.
CIS679: Multimedia Basics r Multimedia data type r Basic compression techniques.
1 PCM & DPCM & DM. 2 Pulse-Code Modulation (PCM) : In PCM each sample of the signal is quantized to one of the amplitude levels, where B is the number.
1 Audio Compression. 2 Digital Audio  Human auditory system is much more sensitive to quality degradation then is the human visual system  redundancy.
CS Spring 2009 CS 414 – Multimedia Systems Design Lecture 3 – Digital Audio Representation Klara Nahrstedt Spring 2009.
Advances in digital image compression techniques Guojun Lu, Computer Communications, Vol. 16, No. 4, Apr, 1993, pp
Digital Multiplexing 1- Pulse Code Modulation 2- Plesiochronous Digital Hierarchy 3- Synchronous Digital Hierarchy.
CHAPTER 3 DELTA MODULATION
Outline Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization.
PCM & DPCM & DM.
Digital Audio III. Sound compression (I) Compression of sound data requires different techniques from those for graphical data Requirements are less stringent.
1 Audio Coding. 2 Digitization Processing Signal encoder Signal decoder samplingquantization storage Analog signal Digital data.
Delta modulation DM DM is a simple modulation scheme used to transmit one bit per sampling frequency In DM the analog information signal is oversampled.
CS Spring 2014 CS 414 – Multimedia Systems Design Lecture 3 – Digital Audio Representation Klara Nahrstedt Spring 2014.
Digital Audio I. Acknowledgement Some part of this lecture note has been taken from multimedia course made by Asst.Prof.Dr. William Bares and from Paul.
Fundamentals of Multimedia Chapter 6 Basics of Digital Audio Ze-Nian Li and Mark S. Drew 건국대학교 인터넷미디어공학부 임 창 훈.
Lifecycle from Sound to Digital to Sound. Characteristics of Sound Amplitude Wavelength (w) Frequency ( ) Timbre Hearing: [20Hz – 20KHz] Speech: [200Hz.
JPEG Compression What is JPEG? Motivation
CSI-447: Multimedia Systems
COMPUTER NETWORKS and INTERNETS
Figure 3–1 PAM signal with natural sampling.
Analog to digital conversion
Digital Communications Chapter 13. Source Coding
Topics discussed in this section:
INTRODUCTION TO TELEPHONY BY : ITZIK CHOEN
Predictive Coding.
PCM (Pulse Code Modulation)
UNIT II.
Chapter 3 Sampling.
Chapter 3 Pulse Modulation
Subject Name: Digital Communication Subject Code:10EC61
CS 4594 Data Communications

PCM & DPCM & DM.
Speech coding.
Analog to Digital Encoding
Govt. Polytechnic Dhangar(Fatehabad)
Digital Audio Application of Digital Audio - Selected Examples
Presentation transcript:

Digital Audio (2/2) S.P.Vimal CSIS Group BITS-Pilani

01/Feb/2007EA C473 -Multimedia Computing2 Topics today… DPCM & ADPCM DM & ADM Characterizing Sound

01/Feb/2007EA C473 -Multimedia Computing3 Differential Pulse Code Modulation (DPCM) Same as predictive coding, incorporates a quantizer (uniform or non uniform) Predictor is based on the reconstructed / quantized signal & the distortion is denoted by

01/Feb/2007EA C473 -Multimedia Computing4 Differential Pulse Code Modulation (DPCM) [2] The quantization steps can better be in the range of the signal Quantization steps can be modified as the coding progresses by estimating the mean and variance of the signal, keeping the objective function to be

01/Feb/2007EA C473 -Multimedia Computing5 Differential Pulse Code Modulation (DPCM) [3]

01/Feb/2007EA C473 -Multimedia Computing6 Differential Pulse Code Modulation (DPCM) [4] Assume the following predictor –And the difference being –Also assume the quantization scheme to be  –And

01/Feb/2007EA C473 -Multimedia Computing7 Differential Pulse Code Modulation (DPCM) [5] The above table is the result of Consider the sequence f 1 …f 5 =130,150,140,200,230 Initial confiq Input f 2 Input f 3 Input f 4 Input f 3

01/Feb/2007EA C473 -Multimedia Computing8 Differential Pulse Code Modulation (DPCM) [6] Lossy / lossless??? Try exercise 14, chapter 6 of T1

01/Feb/2007EA C473 -Multimedia Computing9 Adaptive DPCM Two components Quantizer & Predictor can be made adaptive In Quantizer –Consider quantization errors & try to minimize over the range of samples In Predictor –The linear predictor would be –Use least square approach to find the best value for a i

01/Feb/2007EA C473 -Multimedia Computing10 Delta modulation (DM) Simplified DPCM 1-bit encoder Not suitable for fast changing signals Adaptive DM???

01/Feb/2007EA C473 -Multimedia Computing11 Delta modulation (DM) [2]

01/Feb/2007EA C473 -Multimedia Computing12 Characterizing sound Sound can be characterized by –Pitch Ear’s response to the frequency is the perceived frequency Place theory provides the models that describe the relative pitch of two tones, not to describe the perfect/absolute pitch. Just noticeable difference in pitch is expressed in terms of cents & the standard figure for human ear is 5 cents

01/Feb/2007EA C473 -Multimedia Computing13 Characterizing sound [2] –Loudness Subjective term describing the strength of ear’s perception to the sound, directly related to the intensity. Perceived sensitivity is logarithmically related to the increase in the sound intensity –Quality / timbre Sound "quality" or "timbre" describes those characteristics of sound which allow the ear to distinguish sounds which have the same pitch and loudness It takes around 60ms to recognize the timbre of the sound –For more on sound physics,

01/Feb/2007EA C473 -Multimedia Computing14 Reference: Chapter 6 of T1