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Table of contents
Declaration of Authorship
Abstract
Acknowledgements
List of Figures
List of Tables
Abbreviations
Symbols
Overview
1 Introduction
1.1 What are Environmental Sounds and Sound Textures
1.2 Research Motivation
1.3 Difficulties of Sound Texture Transformation
1.4 Perception and Statistics
1.5 Signal Representation
1.6 Perceptually Important Statistics of Sound Textures
1.6.1 Moments
1.6.2 Temporal Correlation
1.6.3 Spectral Correlation
1.6.4 Spectro-Temporal Correlation
1.7 Discussion
2 State of the Art
2.1 Early Attempts
2.2 Model-Based Synthesis
2.3 Granular-Based Synthesis
2.4 Discussion
3 Statistical Description of Sound Textures over TFR
3.1 Selection of Time-Frequency Representation
3.1.1 Invertibility
3.1.2 Data Grid Regularity
3.1.3 STFT v.s. invertible ERBlet CQT
3.2 Overview of the Statistical Description
3.3 Evaluate Statistics from TFR
3.4 Discussion
4 Imposing Statistics
4.1 Full Imposition of Correlation Functions
4.2 Imposition of Statistical Moments
4.2.1 Temporal Domain Imposition
4.2.2 Spectral Domain Imposition
4.3 Partial Imposition of Correlation Functions
4.4 Discussion
5 Proposed Method, Summary
5.1 Analysis
5.2 Synthesis
5.2.1 Initialization, Preprocessing
5.2.2 Correlation Function Imposition
5.2.3 Moment Imposition
5.2.4 Phase Reconstruction
5.3 Discussion
6 Evaluation
6.1 Objective Evaluation
6.1.1 Profiling
6.1.2 Measurement of Statistics of Resynthesized Sounds
6.2 Subjective Evaluation
6.2.1 Experiment 1: The effect of different cross-correlation function length
6.2.2 Experiment 2a: Compare with Bruna’s work
6.2.3 Experiment 2b: Compare with McDermott’s work
6.3 Discussion
7 Conclusion & Perspectives
7.1 Conclusion
7.2 Perspectives
A Raw Moments in Terms of Spectral Correlation Functions
B The Complex Differentiability of the partial correlation imposition
C The SNR(Signal-toNoise Ratio) of Correlation Functions for the Sound Texture Samples
Bibliography
