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ai-audio-datasets-list icon 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 icon airmobisim

AirMobiSim The open-source unmanned aerial vehicle simulation framework

airsim-rl icon airsim-rl

Experiments with Deep Reinforcement Learning on autonomous vehicles (car and uav drone) in AirSim Simulator

anti-uav---drone-swarm-detection icon anti-uav---drone-swarm-detection

A repo to help you train a custom image detector using the state-of-the-art YOLOv5. This model will allow real-time drone swarm detection in images and videos.

aoienergyuavtraopt icon aoienergyuavtraopt

UAV trajectory optimization with the average AoI and energy as the bjective functions

bdforuavpath icon bdforuavpath

Apply Benders decomposition for AoI and energy aware UAV path planning problem

ccrma icon ccrma

Supplementary files for the CCRMA Workshop on Music Information Retrieval at Stanford University.

daily_arxiv icon daily_arxiv

Using GitHub Action to collect paper list with publicly available source code in the daily arxiv

datasets_emotion icon datasets_emotion

This repository collects information about different data sets for Music Emotion Recognition.

deepj icon deepj

A deep learning model for style-specific music generation.

deeplearning icon deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeprl-tutorials icon deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

deepsc-s icon deepsc-s

Semantic Communication Systems for Speech Transmission

drones-swarm icon drones-swarm

Adaptive exploration of a UAVs swarm for distributed targets detection and tracking

e17-4yp-music-emotion-recognition icon 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

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