Audio Classification

A model fine-tuned for audio classification tasks.

Focusing on the extraction and interpretation of bel canto musical themes.

Model trained for analyzing and generating piano compositions.

Model focusing on the Erhu musical instrument and its nuances.

Analyzes and generates song structures across various genres.

Classifies and analyzes music genres and styles using AI techniques.

An adult and child classifier model based on Wav2Vec2.

Speech model aimed at recognizing emotions from audio data.

Recognizes emotions in spoken language through audio analysis.

Identifies languages from audio samples across different dialects.

Designed for speaker recognition tasks using X-vector embeddings.

A baseline model for achieving excellence in SUPERB tasks.

A larger model variant suited for enhanced performance on SUPERB benchmarks.

Wav2Vec2 model fine-tuned for emotion recognition in audio.

Audio emotion recognition model tailored for Urdu language.

Model fine-tuned for audio classification tasks from the AudioSet dataset.