# High-precision Audio Recognition

A German speech emotion detection model based on wav2vec2, trained on the emo-DB dataset, capable of recognizing 7 different emotions.

An audio spectrogram transformer fine-tuned on the AudioSet dataset, which converts audio into spectrograms and processes them using a vision transformer architecture, achieving excellent performance in audio classification tasks.

An Audio Spectrogram Transformer (AST) fine-tuned on the AudioSet dataset, using ViT architecture to process audio spectrograms, achieving excellent performance on multiple audio classification benchmarks.

An Audio Spectrogram Transformer (AST) fine-tuned on the AudioSet dataset, utilizing a vision transformer architecture to process audio spectrograms, achieving excellent performance in audio classification tasks.

The Audio Spectrogram Transformer (AST) is a model fine-tuned on AudioSet, which converts audio into spectrograms and applies a vision transformer for audio classification.

A distilled audio classification model based on XLS-R architecture for distinguishing between adult and child voices