7

Audio Alignment and Temporal Modeling

Abstract

This chapter focuses on audio analysis methods that take into account the temporal evolution of the audio phenomena. This is done by preserving the short-term nature of the feature sequences, in order to either create methods that align two feature sequences or build temporal audio representations using Hidden Markov Models.

Keywords

Sequence alignment

Template matching

Dynamic time warping

DTW

Cost grid

Sakoe-Chiba

Itakura

Smith-Waterman

Hidden Markov Model

HMM

Baum-Welch

Viterbi algorithm

Trellis diagramn

Mixture of Gaussians

This chapter presents several methods that take into account the temporal evolution of the audio phenomena. In other words, we are no longer interested in computing ...

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