Chapter 5 Sound Analysis.

Slides:



Advertisements
Similar presentations
E E 2415 Lecture 16 2 nd Order High Pass, Low Pass and Band Reject Filters.
Advertisements

Acoustic/Prosodic Features
1 Non-Linearities Linear systems (e.g., filters) can change the intensity and phase of a signal input. Non-linear systems (e.g., amplfiers) not only can.
1 Filters Definition: A filter is a frequency selective system that allows energy at certain frequencies and attenuates the rest.
What makes a musical sound? Pitch n Hz * 2 = n + an octave n Hz * ( …) = n + a semitone The 12-note equal-tempered chromatic scale is customary,
Chapter 6: Masking. Masking Masking: a process in which the threshold of one sound (signal) is raised by the presentation of another sound (masker). Masking.
Sampling and quantization Seminary 2. Problem 2.1 Typical errors in reconstruction: Leaking and aliasing We have a transmission system with f s =8 kHz.
A.Diederich– International University Bremen – USC – MMM Spring Sound waves cont'd –Goldstein, pp. 331 – 339 –Cook, Chapter 7.
Intro to Fourier Analysis Definition Analysis of periodic waves Analysis of aperiodic waves Digitization Time-frequency uncertainty.
Department of Electronic Engineering City University of Hong Kong EE3900 Computer Networks Data Transmission Slide 1 Continuous & Discrete Signals.
Signal processing and Audio storage Equalization Effect processors Recording and playback.
Single-phase half-bridge inverter. Operational Details Consists of 2 choppers, 3-wire DC source Transistors switched on and off alternately Need to isolate.
Single-phase half-bridge inverter
FILTERING GG313 Lecture 27 December 1, A FILTER is a device or function that allows certain material to pass through it while not others. In electronics.
EE Audio Signals and Systems Amplifiers Kevin D. Donohue Electrical and Computer Engineering University of Kentucky.
Measurement of Sound Decibel Notation Types of Sounds
 Distortion – the alteration of the original shape of a waveform.  Function of distortion analyzer: measuring the extent of distortion (the o/p differs.
Low-Pass Filter & High Pass Filter
Lecture 29 Review: Frequency response Frequency response examples Frequency response plots & signal spectra Filters Related educational materials: –Chapter.
Frequency Characteristics of AC Circuits
Chapter 25 Nonsinusoidal Waveforms. 2 Waveforms Used in electronics except for sinusoidal Any periodic waveform may be expressed as –Sum of a series of.
Chapter 4 Bandpass Signaling. In this chapter, we consider the situations where the information from a source is transmitted at its non-natural frequency.
Filters and the Bode Plot
EE513 Audio Signals and Systems Digital Signal Processing (Systems) Kevin D. Donohue Electrical and Computer Engineering University of Kentucky.
Today Course overview and information 09/16/2010 © 2010 NTUST.
Lecture 1 Signals in the Time and Frequency Domains
Kent Bertilsson Muhammad Amir Yousaf. DC and AC Circuit analysis  Circuit analysis is the process of finding the voltages across, and the currents through,
Sensitivity System sensitivity is defined as the available input signal level Si for a given (SNR)O Si is called the minimum detectable signal An expression.
Chapter 2. Signals Husheng Li The University of Tennessee.
Dynamic Range and Dynamic Range Processors
Filtering. What Is Filtering? n Filtering is spectral shaping. n A filter changes the spectrum of a signal by emphasizing or de-emphasizing certain frequency.
ECE 4710: Lecture #6 1 Bandlimited Signals  Bandlimited waveforms have non-zero spectral components only within a finite frequency range  Waveform is.
Non-linear Synthesis: Beyond Modulation. Feedback FM Invented and implemented by Yamaha Solves the problem of the rough changes in the harmonic amplitudes.
Subtractive Sound Synthesis. Subtractive Synthesis Involves subtracting frequency components from a complex tone to produce a desired sound Why is it.
Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin Lecture 4 EE 345S Real-Time.
FE8113 ”High Speed Data Converters”. Course outline Focus on ADCs. Three main topics:  1: Architectures ”CMOS Integrated Analog-to-Digital and Digital-to-
Resonance Enhancement of the intensity of a particular frequency component(s) with respect to the intensity of the other components that occurs when its.
11/22/20151 Digital Filters. 11/22/20152 Time domain to Frequency Domain and vice versa Filter Characteristics.
McGraw-Hill©The McGraw-Hill Companies, Inc., 2004 Physical Layer PART II.
Measurements & Electrical Analog Devices (Part 2).
FILTERS. Filter The purpose of a filter is to pass signals of certain frequencies,
CHAPTER 4 COMPLEX STIMULI. Types of Sounds So far we’ve talked a lot about sine waves =periodic =energy at one frequency But, not all sounds are like.
electronics fundamentals
Digital Audio II. Volume Scaling The volume of a digitized audio source may be increased or decreased by multiplying each sample value by an appropriate.
Feedback Filters n A feedback filter processes past output samples, as well as current input samples: n Feedback filters create peaks (poles or resonances)
ELEC 202 Circuit Analysis II
Filters By combining resistor, capacitor, inductor in special ways we can design circuits that are capable of passing certain frequency while rejecting.
Signal Analyzers. Introduction In the first 14 chapters we discussed measurement techniques in the time domain, that is, measurement of parameters that.
Eeng Chapter4 Bandpass Signalling  Bandpass Filtering and Linear Distortion  Bandpass Sampling Theorem  Bandpass Dimensionality Theorem  Amplifiers.
Measurement and Instrumentation
INTERSYMBOL INTERFERENCE (ISI)
Eeng Chapter4 Bandpass Signalling  Bandpass Filtering and Linear Distortion  Bandpass Sampling Theorem  Bandpass Dimensionality Theorem  Amplifiers.
Test! OpAmp Active Filters
Diode Clipping Circuits
Single-phase half-bridge inverter
Harmonic Distortion Analyzer, Wave Analyzer and Function Generator
Filters and the Bode Plot
EE Audio Signals and Systems
Lecture 1.8. INTERSYMBOL INTERFERENCE
INTERSYMBOL INTERFERENCE (ISI)
Chapter4 Bandpass Signalling Bandpass Filtering and Linear Distortion
Telecommunications Engineering Topic 2: Modulation and FDMA
Chapter 11 Amplifiers: Specifications and External Characteristics
Single-phase half-bridge inverter
Uses of filters To remove unwanted components in a signal
INTERSYMBOL INTERFERENCE (ISI)
Chapter4 Bandpass Signalling Bandpass Filtering and Linear Distortion
C H A P T E R 17 A.C. Filter Networks.
Chapter 5: Active Filters
Presentation transcript:

Chapter 5 Sound Analysis

Filters Shape Spectra Attenuating (reducing) amplitudes in certain frequency ranges Come in different types: High-Pass Low-Pass Band-Pass Band Reject

All Filters have definable: Cutoff Frequency: Where attenuation reaches 3 dB Rolloff: Rate (in dB/Octave) at which attenuation increases

Low and High Pass Filters

Band Pass and Reject Filters

Example of a Filter’s Effect

Gating: Turning Sounds On and Off A tone on continuously theoretically has energy at only one frequency Turning a tone on and off will distort it and produce energy at other frequencies

Gating Terms: Onset--When amplitude begins to grow from zero. Rise Time -- Time taken for amplitude to go from zero to largest value. Offset--When peak amplitude begins to decrease from largest value. Fall Time -- Time taken for peak amplitude to go from largest value to zero.

Gating Effects--Spectral Splatter The Shorter the Rise/Fall Times, the greater the spread of energy to other frequencies. The Longer the Rise/Fall Times, the lesser the spread of energy. Overall (or Effective) Duration also controls spectral splatter

Distortion: Broad definition = any alteration of a sound Specific def. = Addition of energy at frequencies not in the original sound Devices that produce distortion are said to be “nonlinear”

Examples of Distortion: Harmonic Distortion = adding energy at multiples of input--often seen when peak-clipping occurs Intermodulation Distortion = production of energy at frequencies which are sums and/or differences of the input frequencies.

Nonlinearities Input + additional sinusoids = nonlinear output Additional tones are combinations tones Summation tones (f1+f2, 2f1+f2, f1+2f2…) Difference tones (f1-f2, 2f1-f2, 2f2-f1…) Input + change of time-domain waveform = distorted (nonlinear) output