Abstract

Contents 1 Introduction 4 1.1 What is Speech Analysis? . . . . . . . . . . . . . . . . . . . . 4 1.1.1 So what is an acoustic vector? . . . . . . . . . . . . . . 4 1.2 Why Speech Analysis? . . . . . . . . . . . . . . . . . . . . . . 4 1.3 The problems of speech analysis . . . . . . . . . . . . . . . . . 7 1.4 Standard references for this course . . . . . . . . . . . . . . . 7 2 Background 7 2.1 Sampling theory . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.1.1 Sampling frequency . . . . . . . . . . . . . . . . . . . . 7 2.1.2 Sampling resolution . . . . . . . . . . . . . . . . . . . . 8 2.2 Linear filters . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.2.1 Finite Impulse Response filters . . . . . . . . . . . . . 8 2.2.2 Infinite Impulse Response filters . . . . . . . . . . . . . 11 2.3 The source filter model of speech . . . . . . . . . . . . . . . . 12 3 Filter bank Analysis 12 3.1 Spectrograms . . . . . . . . .

Citations

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300	Suppression of Acoustic Noise in Speech using Spectral Subtraction - Boll - 1979
230	An Introduction to the Psychology of Hearing - Moore - 2003
130	Processing of Speech Signals - Rabiner, Schafer - 1993
93	Enhancement of speech corrupted by acoustic noise - Berouti, Schwartz, et al. - 1979
83	Pitch Determination of Speech Signals - Hess - 1983
34	Digital signal processing: a practical approach - Ifeachor, Jervis - 1993
6	Numerical Recipies in C: The art of Scientific Programming - Press, Flannery, et al. - 1988