Speech Emotion Recognition - Groups

Divide-and-Conquer based Ensemble to Spot Emotions in Speech using MFCC and R...

The proposed method uses a divide-and-conquer strategy for ensemble classification to recognize emotions in speech.

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MSP-IMPROV

The MSP-IMPROV dataset contains 6 sessions of dyadic interactions between pairs of male-female actors. 15 target sentences are used to collect the recordings. For each target...

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Compact Graph Architecture for Speech Emotion Recognition

We propose a deep graph approach to address the task of speech emotion recognition. A compact, efﬁcient and scalable way to repre- sent data is in the form of graphs.

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Connectionist Temporal Classification

The Connectionist Temporal Classification dataset is a speech emotion recognition dataset, consisting of audio recordings of speech.

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RAVDESS

RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song) dataset contains 24 professional actors (12 female, 12 male) to offer the performance with good quality and...

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CREMA-D

The CREMA-D dataset is an audio-visual dataset for emotion recognition task, each video in which consists of both facial and acoustic emotional expressions.

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