whisper-tiny-de-emodb-emotion-classification Open-source Model - Accurately Perform German Emotional Classification with Over 90% Accuracy

Whisper Tiny De Emodb Emotion Classification

Developed by Flocksserver

A German emotion classification model fine-tuned on openai/whisper-tiny, achieving 91.59% accuracy on the Emo-DB dataset

Audio Classification

Transformers

GermanOpen Source License:Apache-2.0 #German Emotion Recognition #High-Precision Audio Classification #Whisper Fine-Tuning

Downloads 27

Release Time : 9/11/2024

Model Overview

This model is a German speech emotion classifier based on the Whisper-tiny architecture, specifically fine-tuned for the Emo-DB dataset to recognize emotional states in speech.

Model Features

High-Accuracy Emotion Recognition

Achieves 91.59% classification accuracy on the German Emo-DB test set

Lightweight Architecture

Based on the small Whisper-tiny architecture, suitable for deployment in resource-limited scenarios

Domain-Specific Optimization

Specifically fine-tuned for German emotion recognition tasks

Model Capabilities

German Speech Emotion Classification

Real-Time Audio Analysis

Multi-Emotion State Recognition

Use Cases

Affective Computing

Customer Service Call Analysis

Automatically identifies emotional states in customer calls

91.59% test accuracy

Psychological State Assessment

Assists psychologists in analyzing emotional features in patient speech

Human-Computer Interaction

Emotion-Aware Voice Assistants

Enables voice assistants to adjust responses based on user emotions

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3193	1.0	214	1.4616	0.3925
0.1342	2.0	428	1.0384	0.6449
0.0582	3.0	642	1.5578	0.6542
0.6567	4.0	856	1.2043	0.7850
0.0202	5.0	1070	0.5967	0.8598
0.0008	6.0	1284	0.6261	0.8692
0.0006	7.0	1498	0.5857	0.8785
0.0004	8.0	1712	0.4992	0.9065
0.0004	9.0	1926	0.4943	0.9159
0.0003	10.0	2140	0.4912	0.9159

Property	Details
Library Name	transformers
Model Type	whisper-tiny-de-emodb-emotion-classification
Base Model	openai/whisper-tiny
Tags	generated_from_trainer
Datasets	emodb
Metrics	accuracy
Language	de

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Whisper Tiny De Emodb Emotion Classification

Model Overview

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