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WorkUsing i-vector space model for emotion recognition

Rui Xia2012

Work2012

Using i-vector space model for emotion recognition

Rui Xia · Yang Liu

63 citations·0/0 files stored·Interspeech (USB)

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Emotion and Mood Recognition Sentiment Analysis and Opinion Mining Face and Expression Recognition

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References

2004Analysis of emotion recognition using facial expressions, speech and multimodal information 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge 2003Hidden Markov model-based speech emotion recognition 2006Emotion recognition in spontaneous speech using GMMs 2011The INTERSPEECH 2011 speaker state challenge 2007Using neutral speech models for emotional speech analysis

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2014Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech 2018Effective Attention Mechanism in Dynamic Models for Speech Emotion Recognition 2013Compensating for speaker or lexical variabilities in speech for emotion recognition

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2014Robust Unsupervised Arousal Rating:A Rule-Based Framework withKnowledge-Inspired Vocal Featuresarticle · 4 shared references 2013Iterative Feature Normalization Scheme for Automatic Emotion Detection from Speecharticle · 4 shared references 2012A multitask approach to continuous five-dimensional affect sensing in natural speecharticle · 4 shared references 2014Survey on audiovisual emotion recognition: databases, features, and data fusion strategiesarticle · 3 shared references 2009Speaker-dependent audio-visual emotion recognitionother · 3 shared references 2008Audio-visual feature selection and reduction for emotion classificationarticle · 3 shared references

Details

Year2012

Typeother

Published2012-09-09

VenueInterspeech (USB)

ISSN-L2308-457X

Languageen

Citations63

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.21437/interspeech.2012-128

openalex_workW2407501792

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