https://schererstefan.net/assets/files/papers/1-s2.0-S0167639315000369-main.pdf

A review of depression and suicide risk assessment using speech analysis

Design, analysis and experimental evaluation of block based transformation in MFCC computation for speaker recognition

Data mining is concerned with analysing large volumes of (often unstructured) data to automatically discover interesting regularities or relationships which in turn lead to better understanding of the underlying processes. The field of temporal data mining is concerned with such analysis in the case of ordered data streams with temporal interdependencies. Over the last decade many interesting techniques of temporal data mining were proposed and shown to be useful in many applications. Since temporal data mining brings together techniques from different fields such as statistics, machine learning and databases, the literature is scattered among many different sources. In this article, we present an overview of techniques of temporal data mining. We mainly concentrate on algorithms for pattern discovery in sequential data streams. We also describe some recent results regarding statistical analysis of pattern discovery methods.

/pdf/a-survey-of-temporal-data-mining-y2j0a80g8j.pdf

A survey of temporal data mining

http://ccc.inaoep.mx/~villasen/bib/Ensemble%20methods%20for%20spoken%20emotion%20recognition%20in%20call-centres.pdf

Ensemble methods for spoken emotion recognition in call-centres

Analytical background and techniques: discrete-time signals, systems and transforms analysis of discrete-time speech signals probability and random processes linear model and dynamic system model optimization methods and estimation theory statistical pattern recognition Fundamentals of speech science: phonetic process phonological process Computational phonology and phonetics: computational phonology computational models for speech production computational models for auditory speechprocessing Speech technology in selected areas: speech recognition speech enhancement speech synthesis

/pdf/speech-processing-a-dynamic-and-optimization-oriented-2ml845xvfe.pdf

Speech processing : a dynamic and optimization-oriented approach

Preface. Acknowledgments. Acronyms in Speech Communications. Important Developments in Speech Communications. Introduction. Review of Mathematics for Speech Processing. Speech Production and Acoustic Phonetics. Hearing. Speech Perception. Speech Analysis. Coding of Speech Signals. Speech Enhancement. Speech Synthesis. Automatic Speech Recognition. Speaker Recognition. Appendix: Computer Sites for Help on Speech Communication. References. Index. About the Author.

Douglas O'Shaughnessy

Papers

Speech Communications: Human and Machine