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

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

Transfer learning and fine-tuning with YAMNet

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

Yamnet model using tflite_model_maker with esc-50 dataset

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

Sound Event Detection with YAMNet+tw on Raspberry Pi

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.

YAMNet with latest TensorFlowLiteSwift

PyTorch implementation of YAMNet model for audio classification

Sound Event Detection with YAMNet on Jetson Nano

My music tech thesis prototype as well as recent class project

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

Software for Hard of Hearing

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.

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

Python ML for training a custom on-device cry model (knowledge-distilled from YAMNet, INT8, deployed on ESP32-S3)

Developing a application and/or website for snore detection using DeepLearning