Audio-analytics for music-producers! Automate tedious tasks such as musical scale detection, BPM rate classification and audio file conversion.

Related tags

Miscellaneous audio analytics audio-analysis wav sample-rate-conversion music-theory wave bpm music-programming music-analysis music-production audio-processing streamlit music-producer music-information-restrieval music-scale
Overview

bannerbeatinspectgithub

Click here to be re-directed to the Beat Inspect Streamlit Web-App
You are a music producer? Let's get in touch via LinkedIn

Fundamental Analytics for any uploaded Beat! This streamlit-based web application is aimed at music producers and artists who are frequently working with prebuilt audio files or beats. The inherent pain-point of having to do fundamental audio analytics such as identifying bpm rates, musical scales and audio file conversions are automated by using "beat_inspector". This application has been optimized specifically for popular and electronic music, as well as a HipHop beats.

To insure that the implemented functionality provides real value to aspiring artists, "beatinspect" has been implemented in close cooperation with the Linz-Austria-based Utility Studio™
(music production studio with a focus on recording and vocal editing services)

Functionality Overview

  • Musical Attributes Analytics (BPM rate classification, Musical key & scale detection)
  • Technical Overview (Audio file format, quality, resolution, audio channels dimension)
  • Waveform and RMS Spectrogram Insights (view Amplitude/RMS spectrum over time)

  • TO BE IMPLEMENTED SOON: upcoming features
    • Recording Audio to be analyzed from your Browser
      (currently work in progress, not functional yet)
    • Conversion to .wav file with predefined settings
      (provided by using convertio.co's API features)
    • Meta data information encoded in the output file
    • Bringing beatinspect to mobile browsers/devices

ux_screenshot

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Releases(v1.1.0)
Owner
Stefan Rummer
TUM B.Sc. Electrical- and Computer Engineering | Deloitte aiStudio | TUM.ai
Stefan Rummer
GitHub https://www.beatinspect.com
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