Project repository for open source AudioAI project to build a ML model to to detect quality control defects in Vinyl records. The goal of the project is detect the following audio QC metrics:
- Skips
- Jumps
- Sticks
- Intrusive background noise
Reference Links
- Podcast talk with Librosa creater Brian McFee
- audio-analysis
- tensorflow-sound-classification
- Audio-content-representations
- Music Feature Extraction in Python
- Spectrogram, Cepstrum and Mel-Frequency
- Audio Voice Processing Deep Learning
- Music Classification
Possible DataSets
Audio Software Libraries
Tools