Popular GitHub Repositories for Activity

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

A curated list of action recognition and related area resources

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

? A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).

Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, LicheePi4A etc.

? A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

TEN VAD: low-latency high-performance Voice Activity Detector

Python AI assistant ?

CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

Convolutional Neural Network for Human Activity Recognition in Tensorflow

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

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