TMS' "fingerprint" question

• chromaprint

  4 891 0.0 C++

  C library for generating audio fingerprints used by AcoustID

  

I'm currently doing the same. I'm using the chromaprint library via the pyacoustid library, using the technique described here, which should give a certain amount of leeway in terms of pitch and other variables. See also the notes in the chromaprint documentation about truncating the samples to reduce noise.

• youtube-dl

  20 137 0.0 Python

  Unofficial daily builds for youtube-dl. DO NOT OPEN PULL REQUESTS HERE (by ytdl-patched)

  

I'm using fingerprints built from different versions of the song, including the original and remastered versions you can find on the Discord and the "pitch corrected" version you can grab from YouTube. I'm chopping each fingerprint into 100 sample chunks and searching each YouTube video (audio only, using youtube-dl) for them. Checking for the fingerprint is the fastest part of the process, so trying many against each download isn't a problem. I've confirmed it's possible to detect TMS in videos about TMS (eg. Whang, CW Schultz) where less than the full song is played.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• pyacoustid

  2 312 6.1 Python

  Python bindings for Chromaprint acoustic fingerprinting and the Acoustid Web service

  

I'm currently doing the same. I'm using the chromaprint library via the pyacoustid library, using the technique described here, which should give a certain amount of leeway in terms of pitch and other variables. See also the notes in the chromaprint documentation about truncating the samples to reduce noise.

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