Parametric time frequency domain spatial audio 1st Edition by Ville Pulkki, Symeon Delikaris Manias, Archontis Politis – Ebook PDF Instant Download/Delivery: 9781119252610 ,111925261X
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ISBN 10: 111925261X
ISBN 13: 9781119252610
Author: Ville Pulkki, Symeon Delikaris Manias, Archontis Politis
This book provides readers with the principles and best practices in spatial audio signal processing. It describes how sound fields and their perceptual attributes are captured and analyzed within the time-frequency domain, how essential representation parameters are coded, and how such signals are efficiently reproduced for practical applications. The book is split into four parts starting with an overview of the fundamentals. It then goes on to explain the reproduction of spatial sound before offering an examination of signal-dependent spatial filtering. The book finishes with coverage of both current and future applications and the direction that spatial audio research is heading in.
Parametric Time-frequency Domain Spatial Audio focuses on applications in entertainment audio, including music, home cinema, and gaming–covering the capturing and reproduction of spatial sound as well as its generation, transduction, representation, transmission, and perception. This book will teach readers the tools needed for such processing, and provides an overview to existing research. It also shows recent up-to-date projects and commercial applications built on top of the systems.
- Provides an in-depth presentation of the principles, past developments, state-of-the-art methods, and future research directions of spatial audio technologies
- Includes contributions from leading researchers in the field
- Offers MATLAB codes with selected chapters
An advanced book aimed at readers who are capable of digesting mathematical expressions about digital signal processing and sound field analysis, Parametric Time-frequency Domain Spatial Audio is best suited for researchers in academia and in the audio industry.
Parametric time frequency domain spatial audio 1st Edition Table of contents:
Part I Analysis and Synthesis of Spatial Sound
1 Time–Frequency Processing: Methods and Tools
1.1 Introduction
1.2 Time–Frequency Processing
1.3 Processing of Spatial Audio
Note
References
2 Spatial Decomposition by Spherical Array Processing
2.1 Introduction
2.2 Sound Field Measurement by a Spherical Array
2.3 Array Processing and Plane-Wave Decomposition
2.4 Sensitivity to Noise and Standard Regularization Methods
2.5 Optimal Noise-Robust Design
2.6 Spatial Aliasing and High Frequency Performance Limit
2.7 High Frequency Bandwidth Extension by Aliasing Cancellation
2.8 High Performance Broadband PWD Example
2.9 Summary
2.10 Acknowledgment
References
3 Sound Field Analysis Using Sparse Recovery
3.1 Introduction
3.2 The Plane-Wave Decomposition Problem
3.3 Bayesian Approach to Plane-Wave Decomposition
3.4 Calculating the IRLS Noise-Power Regularization Parameter
3.5 Numerical Simulations
3.6 Experiment: Echoic Sound Scene Analysis
3.7 Conclusions
Appendix
References
Part II Reproduction of Spatial Sound
4 Overview of Time–Frequency Domain Parametric Spatial Audio Techniques
4.1 Introduction
4.2 Parametric Processing Overview
References
5 First-Order Directional Audio Coding (DirAC)
5.1 Representing Spatial Sound with First-Order B-Format Signals
5.2 Some Notes on the Evolution of the Technique
5.3 DirAC with Ideal B-Format Signals
5.4 Analysis of Directional Parameters with Real Microphone Setups
5.5 First-Order DirAC with Monophonic Audio Transmission
5.6 First-Order DirAC with Multichannel Audio Transmission
5.7 DirAC Synthesis for Headphones and for Hearing Aids
5.8 Optimizing the Time–Frequency Resolution of DirAC for Critical Signals
5.9 Example Implementation
5.10 Summary
References
6 Higher-Order Directional Audio Coding
6.1 Introduction
6.2 Sound Field Model
6.3 Energetic Analysis and Estimation of Parameters
6.4 Synthesis of Target Setup Signals
6.5 Subjective Evaluation
6.6 Conclusions
Note
References
7 Multi-Channel Sound Acquisition Using a Multi-Wave Sound Field Model
7.1 Introduction
7.2 Parametric Sound Acquisition and Processing
7.3 Multi-Wave Sound Field and Signal Model
7.4 Direct and Diffuse Signal Estimation
7.5 Parameter Estimation
7.6 Application to Spatial Sound Reproduction
7.7 Summary
Notes
References
8 Adaptive Mixing of Excessively Directive and Robust Beamformers for Reproduction of Spatial Sound
8.1 Introduction
8.2 Notation and Signal Model
8.3 Overview of the Method
8.4 Loudspeaker-Based Spatial Sound Reproduction
8.5 Binaural-Based Spatial Sound Reproduction
8.6 Conclusions
References
9 Source Separation and Reconstruction of Spatial Audio Using Spectrogram Factorization
9.1 Introduction
9.2 Spectrogram Factorization
9.3 Array Signal Processing and Spectrogram Factorization
9.4 Applications of Spectrogram Factorization in Spatial Audio
9.5 Discussion
9.6 Matlab Example
Note
References
Part III Signal-Dependent Spatial Filtering
10 Time–Frequency Domain Spatial Audio Enhancement
10.1 Introduction
10.2 Signal-Independent Enhancement
10.3 Signal-Dependent Enhancement
References
11 Cross-Spectrum-Based Post-Filter Utilizing Noisy and Robust Beamformers
11.1 Introduction
11.2 Notation and Signal Model
11.3 Estimation of the Cross-Spectrum-Based Post-Filter
11.4 Implementation Examples
11.5 Conclusions and Further Remarks
11.6 Source Code
Note
References
12 Microphone-Array-Based Speech Enhancement Using Neural Networks
12.1 Introduction
12.2 Time–Frequency Masks for Speech Enhancement Using Supervised Learning
12.3 Artificial Neural Networks
12.4 Mask Learning: A Simulated Example
12.5 Mask Learning: A Real-World Example
12.6 Conclusions
12.7 Source Code
Notes
References
Part IV Applications
13 Upmixing and Beamforming in Professional Audio
13.1 Introduction
13.2 Stereo-to-Multichannel Upmix Processor
13.3 Digitally Enhanced Shotgun Microphone
13.4 Surround Microphone System Based on Two Microphone Elements
13.5 Summary
References
14 Spatial Sound Scene Synthesis and Manipulation for Virtual Reality and Audio Effects
14.1 Introduction
14.2 Parametric Sound Scene Synthesis for Virtual Reality
14.3 Spatial Manipulation of Sound Scenes
14.4 Summary
References
15 Parametric Spatial Audio Techniques in Teleconferencing and Remote Presence
15.1 Introduction and Motivation
15.2 Background
15.3 Immersive Audio Communication System (ImmACS)
15.4 Capture and Reproduction of Crowded Acoustic Environments
15.5 Conclusions
Notes
References
Index
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Ville Pulkki,Symeon Delikaris Manias,Archontis PolitisParametric,time frequency,domain spatial audio