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Spec Soul Ast Aug

Developed by abletobetable
A Russian emotion analysis model fine-tuned based on the AST architecture, supporting audio spectrogram input with data augmentation capabilities
Downloads 14
Release Time : 4/22/2023

Model Overview

This model is an audio classification model for Russian emotion analysis, based on the Audio Spectrogram Transformer (AST) architecture, fine-tuned from MIT's pre-trained model. It supports identifying emotion categories from audio spectrograms, suitable for Russian speech emotion analysis scenarios.

Model Features

Russian Emotion Recognition
Emotion analysis capability specifically designed for Russian speech
Spectrogram Transformer Architecture
Uses AST architecture to process audio spectrogram features, effectively capturing speech emotion characteristics
Data Augmentation Support
Includes audio data augmentation during training to improve model robustness
Telegram Integration
Provides a ready-to-deploy Telegram bot implementation

Model Capabilities

Russian Speech Emotion Classification
Audio Spectrogram Analysis
Real-time Emotion Recognition

Use Cases

Emotion Analysis
Customer Service Call Analysis
Analyze customer emotions in Russian customer service calls
Can identify emotional states such as anger, satisfaction, etc.
Mental Health Monitoring
Monitor psychological states like depression through voice changes
Voice Interaction
Smart Voice Assistant
Add emotion response capability to Russian voice assistants
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