Titlebook: Computational Analysis of Sound Scenes and Events; Tuomas Virtanen,Mark D. Plumbley,Dan Ellis Book 2018 Springer International Publishing

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d.Covers all the aspects of the machine learning approach to.This book presents computational methods for extracting the useful information from audio signals, collecting the state of the art in the field of sound event and scene analysis. The authors cover the entire procedure for developing such m

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Acoustics and Psychoacoustics of Sound Scenes and Eventscoustic information reaching the listeners’ ears. Despite the complexity of the signal, human listeners . effortlessly these scenes into different .. This chapter provides an overview of the auditory mechanisms subserving this ability. First, we briefly introduce the major characteristics of sound p

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Statistical Methods for Scene and Event Classificationically the raw waveform or a time-frequency spectrogram, and produce semantically meaningful classification of its contents. We begin with a brief overview of statistical modeling, supervised machine learning, and model validation. This is followed by a survey of discriminative models for binary and

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Datasets and Evaluationvaluation procedure for a classification or recognition system will involve a standard dataset of example input data along with the intended target output, and well-defined metrics to compare the systems’ outputs with this ground truth. This chapter examines the important factors in the design and c

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Multiview Approaches to Event Detection and Scene Analysis, each sensor contributing a particular . of the data (e.g., audio microphones, video cameras, etc.). We briefly introduce some of the techniques that can be exploited to effectively combine the data conveyed by the different views under analysis for a better interpretation. We first provide a high-