yamnet
There are 16 repositories under yamnet topic.
gkonovalov/android-vad
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
SangwonSUH/realtime_YAMNET
Simple real-time Sound Event Detector based on YAMNet and pyaudio.
c99koder/AudioClassifier-MQTT
Use the yamnet TensorFlow model to classify live audio from a microphone and publish the predicted results to Home Assistant via MQTT
trinhtuanvubk/tflite-yamnet-audio-classification
Yamnet model using tflite_model_maker with esc-50 dataset
baochuquan/ios-vad
iOS Voice Activity Detection (VAD). Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
Vio-Chung/Rap-Speech-Classification
My music tech thesis prototype as well as recent class project
x1001000/sed-yamnet-jetson-nano
Sound Event Detection with YAMNet on Jetson Nano
x1001000/sed-yamnet-raspberrypi
Sound Event Detection with YAMNet+tw on Raspberry Pi
kassiansun/yamnet-ios
YAMNet with latest TensorFlowLiteSwift
aabeing/Event_Detection_Tensorflow_Serving
Acoustic event detection using yamnet model. Model is deployed using tensorflow serving in docker container and Flask API
JUHYUNG1132/HappyNewEar
Software for Hard of Hearing
vsnupoudel/Audio-Classification--transfer-learning-and-fine-tuning--Android-application
Developing a application and/or website for snore detection using DeepLearning
AvinashSubhash/Accent-Recognition-System
This git repository is an implementation of three different models for accent recognition and evaluation for the language of English
ledsouza/deep-learning-audio-recognition
This project aims to build two Machine Learning models for audio recognition, focusing on security and accessibility.
Aftermoon-dev/SafeNoiseCanceling
Detects dangerous sounds around you and Alerts you when using sound devices such as headphones
nasim-raj-laskar/DataVis-InsightHub
Comprehensive analysis projects featuring image classification using VGG19, LDA-based topic modeling, climate change data visualization with Plotly, and Capuchinbird sound analysis using convolutional neural networks (CNNs) with YAMNet.