Titlebook: Real-time Speech and Music Classification by LargeAudio Feature Space Extraction; Florian Eyben Book 2016 Springer International Publishin

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Standard Baseline Feature Sets,NTERSPEECH challenges on Emotion and Paralinguistics form 2009–2013 (ComParE) as well as the Audio-Visual Emotion Challenges (2011–2013). Further, two sets for music processing and two minimalistic speech parameter sets (GeMAPS and eGeMAPS) are proposed.

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Real-Life Robustness, research voice analytics, or health monitoring for stress and depression. This chapter discusses methods for pre-processing speech robustly and for enhancing audio classification algorithms in degraded acoustic conditions.

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2190-5053 er 1 open-source toolkit in speech emotion.analytics and com.This book reports on an outstanding thesis thathas significantly advanced the state-of-the-art in the automated analysis andclassification of speech and music.  Itdefines several standard acoustic parameter sets and describes theirimplemen