audio-classification

A mental-model-first field guide to Audio AI — from raw waveforms to production voice systems. Covers ASR, TTS, audio classification, Transformer architectures (CTC/Seq2Seq), fine-tuning, and real-world pipelines like voice assistants and meeting transcription. Bilingual (EN/FA).

Multi-modal AI-generated content detection: image, video, and audio. Benchmarks, training code (DINOv2, DINOv3, ReStraV, BreathNet), and evaluation pipeline for real vs. synthetic classification with calibration-aware metrics.

Unofficial (Golang) Go bindings for the Hugging Face Inference API

Speakerbox: Fine-tune Audio Transformers for speaker identification.

This repository includes all computer vision, audio, document AI, and multimodal projects.

Text Classification in Turkish Texts with Bert

In this project, several approaches for training/finetuning an audio gender recognition is provided. The code can simply be used for any other audio classification task by simply changing the number of classes and the input dataset.

A set of jupyter notebooks

The Hugging Face API wrapper for Delphi leverages cutting-edge models to deliver powerful features, including object detection, music generation, text classification, sentiment analysis, image segmentation, speech-to-text transcription, and text generation.

This repository contains a short introduction on the topic of audio and speech processing -- from basics to applications.