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

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

Sound Event Detection with YAMNet+tw on Raspberry Pi

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

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

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

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 on Jetson Nano

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

An Android app that helps individuals with hearing impairments by converting environmental sounds into real-time vibration alerts.

YAMNet with latest TensorFlowLiteSwift

This project builds a Music Genre Classification System using SVM, CNN, LSTM, and Transformer models, with YAMNet-based feature extraction. It processes audio files, extracts embeddings, and trains multiple models for comparison. The system predicts genres with high accuracy and provides evaluation metrics like classification reports and confusion.

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

A Flask web app that fuses classic audio fingerprinting with YAMNet embeddings for lightning-fast, high-accuracy song recognition. Modular code handles spectrogram peak hashing, deep-learning feature extraction, and secure file uploads, all wrapped in a clean UI and built for easy extension or cloud deployment.

This project is a real-time audio monitoring tool that listens to ambient sounds through a microphone, classifies them using Google's YAMNet deep learning model, and publishes detected events to an MQTT broker.

Offline mic listener that detects shouting/arguments via YAMNet and auto-plays calming music. Windows + Python MVP. No recordings, no cloud. 離線偵測爭吵/尖叫並自動播放舒緩音樂的 Windows+Python MVP。不錄音、不上傳。

Raspberry Pi 5 security system combining real-time YOLOv8 object detection and YAMNet audio classification, with alerts via LED, alarm and email notifications.

SoundGuard is a GenAI agent that detects emergency sounds, explains what it hears, and responds like a smart assistant — built with YAMNet, Gradio, Google Cloud, and deployed on Hugging Face Spaces.

audio classification flask app using yamnet model.part of safe-journey app