An efficient state detection of a person by fusion of acoustic and alcoholic features using various classification algorithms
- 30 June 2020
- journal article
- research article
- Published by Springer Nature in International Journal of Speech Technology
- Vol. 23 (3) , 625-632
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- Detection and Analysis of Emotion from Speech SignalsProcedia Computer Science, 2015
- A comparative analysis of classifiers in emotion recognition through acoustic featuresInternational Journal of Speech Technology, 2014
- Zero crossing rate and Energy of the Speech Signal of Devanagari ScriptIOSR Journal of VLSI and Signal Processing, 2014
- Synthesized speech for model training in cross-corpus recognition of human emotionInternational Journal of Speech Technology, 2012
- Survey on speech emotion recognition: Features, classification schemes, and databasesPattern Recognition, 2011
- Alcohol language corpus: the first public corpus of alcoholized German speechLanguage Resources and Evaluation, 2011
- Analysis of emotion recognition using facial expressions, speech and multimodal information2004
- Emotion Detection from Speech to Enrich Multimedia Content2001
- Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotionThe Journal of the Acoustical Society of America, 1993
- Emotions and Speech: Some Acoustical CorrelatesThe Journal of the Acoustical Society of America, 1972