Acoustic Signals and Hearing

A Time-Envelope and Phase Spectral Approach

Mikio Tohyama

• Publisher: Academic Press
• Year: 2020
• Print ISBN:
  9780128163917
• eBook ISBN:
  9780128166116
• Topic: Technology & Engineering
• Subtopic: Signals & Signal Processing
• Index: Technology & Engineering

Understanding acoustics – the science of sound -- is essential for audio and communications engineers working in media technology. It is also extremely important for engineers to understand what allows a sound to be heard in the way it is, what makes speech intelligible, and how a particular sound is recognized within a multitude of sounds. Acoustic Signals and Hearing: A Time-Envelope and Phase Spectral Approach is unique in presenting the principles of sound and sound fields from the perspective of hearing, particularly through the use of speech and musical sounds. Acoustic Signals and Hearing: A Time-Envelope and Phase Spectral Approach is an ideal resource for researchers and acoustic engineers working in today's environment of media technology, and graduate students studying acoustics, audio engineering, and signal processing. - Presents unique sounds and sound fields from the perspective of hearing - Covers source-signature and sound-path analysis - Gives a reconstruction of the basics of acoustics and audio engineering via timeless topics such as linear system theory in the time and frequency domains - Uses the new envelope and phase analysis approach to signal and waveform analysis - Provides new perspectives via phase properties on ways to solve acoustical problems - Presents straightforward mathematical formulations that give familiarity to discrete expressions of sound waves - Gives a seamless and intuitive understanding — from mathematical expressions to a subjective impression of sound

Chapter 1

Introduction

Abstract

Sinusoidal signals and responses to them of a linear system are the basis of acoustic systems. This introduction gives a brief summary of mathematical expressions for sinusoidal functions that develop the basic notion of a linear system from the audio engineering point of view. A sinusoidal function is periodic and is composed of a single frequency without harmonics. The autocorrelation function exemplifies the periodic nature of a signal even if the fundamental is lost in the signal. The response of a linear system to a sinusoidal input can be formulated by the Fourier transform of the impulse response that constructs the fundamental theorem on linear systems. The representation of a sinusoidal function as a discrete sequence that defines the discrete Fourier transform of a periodic sequence and of a periodic function can be represented by Fourier series expansion. Orthogona...

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• List of figures
• Biography
• Preface
• Acknowledgments
• Chapter 1: Introduction
• Chapter 2: Resonance systems
• Chapter 3: Modulation waveform and masking effect
• Chapter 4: Spectral and temporal effects of signals on speech intelligibility
• Chapter 5: Spectral envelope and source signature analysis
• Chapter 6: Room reverberation theory and transfer function
• Chapter 7: Intelligibility and reverberation
• Chapter 8: Subjective evaluation for coherent region in reverberant space
• Chapter 9: Spatial impression and binaural sound field
• Index