yamnet

Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.

iOS Voice Activity Detection (VAD). Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.

Use the yamnet TensorFlow model to classify live audio from a microphone and publish the predicted results to Home Assistant via MQTT

Raspberry Pi application that detects music with ML, identifies it using Shazam, and shows the song information on an e-ink display

Simple real-time Sound Event Detector based on YAMNet and pyaudio.

Transfer learning and fine-tuning with YAMNet

Self-hosted baby monitor that tells real crying from just-loud (YAMNet) — WebRTC viewer + push alerts, one `docker compose up`.

🔉 A Sound Detection System for the Deaf and Hard of Hearing using On-Device Machine Learning

Yamnet model using tflite_model_maker with esc-50 dataset

An AI-powered proctoring tool for secure online exams. Uses YOLOv5 for object detection, MTCNN for face detection, YAMNet for audio detection, and PyQt5 for the UI. Enforces fullscreen mode, disables shortcuts, and provides real-time monitoring with violation tracking. Scalable and resource-efficient.

Sound Event Detection with YAMNet+tw on Raspberry Pi

YAMNet with latest TensorFlowLiteSwift

PyTorch implementation of YAMNet model for audio classification

My music tech thesis prototype as well as recent class project

Yamnet for speech classification using CPP and ONNX-runtime-2025高通边缘智能创新应用大赛入围决赛方案

An ensemble model combining YAMNet and Wav2Vec2 to classify infant cries, screams, and normal utterances with high accuracy. Integrated with Temporal Workflow for real-time inference. 🚀

Sound Event Detection with YAMNet on Jetson Nano

This repository contains a machine learning-based system to detect deepfake (synthetic) voices. It leverages audio feature extraction techniques such a Yamnet , and deep learning models (ANN,CNN, RNN) to distinguish real and fake audio. The project includes data preprocessing, model training, evaluation, and a simple API for inference.

Official camera.ui plugins

Acoustic event detection using yamnet model. Model is deployed using tensorflow serving in docker container and Flask API