踩点 音乐识别 搞笑视频收集
now we have audioFlux, alternative to librosa, but faster
audioowl for tempo, beat and notes identification:
https://github.com/dodiku/AudioOwl
cnn based audio segmentation toolkit allow to detect speech, music and speaker gender:
https://github.com/ina-foss/inaSpeechSegmenter
speech music detection using keras:
https://github.com/qlemaire22/speech-music-detection
awesome deep learning music:
https://github.com/ybayle/awesome-deep-learning-music
music genre classification/ Music Classification/ Music Recommendation/ Music search
https://github.com/mlachmish/MusicGenreClassification
https://github.com/kristijanbartol/Deep-Music-Tagger
https://github.com/tae-jun/resemul
https://github.com/Insiyaa/Music-Genre-Classification
music recognization service:
audioid soundhound
maybe you should consider some chinese tools? none there.
music radar recognize music:
https://github.com/keshavbhatt/music-radar
mousai using free audd api to recognize music:
https://github.com/SeaDve/Mousai
music emotion recognization:
https://github.com/SeungHeonDoh/Music_Emotion_Recognition
music tagging and recognization, using acoustic ids and community based music database:
https://github.com/metabrainz/picard
https://musicbrainz.org/doc/AcoustID
mixingbear(alike neuralmix):
https://github.com/dodiku/MixingBear
madmom
https://github.com/CPJKU/madmom
音乐分类 综合音频分析包
pyaudioanalysis
mathematica audio slience removal segmentation:
https://zhuanlan.zhihu.com/p/43165678
music21 for music recognition:
https://zhuanlan.zhihu.com/p/35140033
music21 for midi analysis:
https://pypi.org/project/music21/
https://music21.readthedocs.io/en/latest
https://zhuanlan.zhihu.com/p/73564852
sound recognition and localization:
https://reality.ai/automotive-sound-recognition-localization/
urbansound8k dataset ( 6gb ):
https://www.kaggle.com/datasets/chrisfilo/urbansound8k
fourier transform cat meow detection:
https://github.com/EricDavidWells/MeowDetector
building sound event classifier:
https://ignitarium.com/building-an-ai-based-sound-event-classifier/
real time continuous sound event classification(usually via silence detection):
https://medium.com/@chathuranga.15/real-time-sound-event-classification-83e892cf187e
https://medium.com/@chathuranga.15/real-time-sound-event-classification-83e892cf187e
https://medium.com/@chathuranga.15/sound-event-classification-using-machine-learning-8768092beafc
cry detection:
https://www.amberou.com/cry-detection
https://github.com/umangkk5/Infant-Cry-Detection-System/blob/master/site-packages/soundfile.py
urbansound classifier:
https://github.com/awln/urban8k-audio-classifier
laugh detection:
https://github.com/ideo/LaughDetection
gun shot detection:
https://github.com/hasnainnaeem/Gunshot-Detection-in-Audio
dog bark detector:
https://github.com/t04glovern/dog-bark-detection
https://devopstar.com/2020/04/13/dog-bark-detector-machine-learning-model
https://dsp.stackexchange.com/questions/23466/detect-dog-barks
获得音乐识别api 最好是qq音乐识别 国内识别引擎
不能识别就分析简介 有没有BGM
踩点 bpm以前的autoup项目里有 看看其他的分析软件有没有 premiere一键踩点插件可能有开源库支持
已有的踩点视频 可以切出无文字的片段 根据音乐结构区分高潮 开始 中间等部分 根据音乐类型标签归类视频
搞笑视频的话 有纯笑声比较好 动作幅度大的 不要有对话 反向截图 收集类似视频