rudger1234
/

Emotion-recognition-model

Audio Classification

Model card Files Files and versions

Model Description

This model is used for BMSTU course work: Web-application for emotion recognition in speech.

Direct Use

This model can recognize emotions (perfectly on russian language speech) without extracting context of speech. Classes of emotions:

positive;
sad;
angry;
neutral;
other (mostly used for noises)

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Safetensors

Model size

94.6M params

Tensor type

F32

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facebook/wav2vec2-base

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Dataset used to train rudger1234/Emotion-recognition-model