Dobbin's repositories
ai-audio-datasets-list
This is a list of datasets consisting of speech, music, and sound effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications. It is mainly used for speech recognition, speech synthesis, singing voice synthesis, music information retrieval, music generation, etc.
AirMobiSim
AirMobiSim The open-source unmanned aerial vehicle simulation framework
APP-CAN_Music_Emotion_Recognition_Application
undergraduate senior project(大四畢業專題). Building an application cooperating the topics of music and emotion. (Feb. 2022 – Nov. 2022)
Awesome-Music-Recommendation-Datasets
Awesome Datasets for Music Recommendation
e17-4yp-Music-Emotion-Recognition
Music plays a major role in our day-to-day life, as it can ease our tense life. In modern society, people can have access to music via networks and electronic products. Emotion is one of the most crucial components of music and it has an enormous significance in real-world applications that include massive music data management, personalized music
generating-music-with-data
Source code for the paper Generating music with data: Application of Deep Learning models for symbolic music composition
mean_field_flocking
Code for Online Flocking Control of UAVs with Mean-Field Approximation [ICRA 2021]
multi_uav_simulator
A drone swarm simulator based on ROS (Robot Operating System).
music_genre_classification
music genre classification : LSTM vs Transformer
Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
Real-Time-Emotion-Recognition-Based-Music-Player
Uses a CNN Model of 63.2% Accuracy to recognize emotion of a human from a live feed of a webcam and then using the result from that playing music in a music player, the music playlist gets updated based on the emotion change in the human.
TelloSwarm
Python scripts for swarming, formation control, and observer-based intrusion detection for multi-UAVs (Tello Drones)
UAV-AIOT_COLLAB
IoT and AI applications in UAVs enable real-time data collection through sensors for weather forecasting, precision agriculture, infrastructure inspection, and surveillance. AI algorithms empower drones with autonomous navigation, object detection, swarm intelligence, and predictive maintenance.
UAV-routing-optimisation
Collaborated on a project with Prof. D T Pham proposes to design an anti-collision and a path planning system of swarm UAVs by using Artificial Bee Colony (ABC) algorithm. Employed bee search equation is modified by adding weight coefficients for the purpose of increasing the convergence speed and superior performance of our algorithm in solving UA
daily_arxiv
Using GitHub Action to collect paper list with publicly available source code in the daily arxiv
LWNS
LWNS为沁恒微电子推出的轻量高效的无线组网协议栈，支持Mesh组网。可应用于智能家居、智能工厂等场合。相比于蓝牙Mesh和ZigBee，LWNS资源占用更小、效率更高、组网模式灵活多变、开发更简单更快捷。
PP4DUAV
Path Plan for Delivery Unmanned Aerial Vehicle
radio_proxy
基于数传电台的无人机编队通信软件