Open-Source Practices for Music Signal Processing Research: Recommendations for Transparent, Sustainable, and Reproducible Audio Research.
Brian McFeeJong Wook KimMark CartwrightJustin SalamonRachel M. BittnerJuan Pablo BelloPublished in: IEEE Signal Process. Mag. (2019)
Keyphrases
- signal processing
- open source
- audio signals
- case study
- music score
- music information retrieval
- audio features
- recommender systems
- music scores
- open source software
- music genre classification
- music recommendation
- image processing
- speech processing
- audio signal
- source code
- speech music discrimination
- music collections
- audio recordings
- automatic music genre classification
- pattern recognition
- fourier transform
- current practices
- audio visual
- computer music
- digital audio
- user preferences
- audio content
- audio files
- content based music retrieval
- multimedia processing
- machine learning
- music retrieval
- multimedia
- genre classification
- polyphonic music
- computer vision
- hidden markov models
- management system
- filter bank
- cost effective
- gaussian mixture model
- software development
- digital video
- low level
- personalized recommendation
- user ratings
- open standards
- neural network