踩点 音乐识别 搞笑视频收集

now we have audioFlux, alternative to librosa, but faster

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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

http://madmom.readthedocs.org

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