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Improving digitized radio recordings while keeping them authentic!

Created by Miguel Ferreira on Feb 27, 2013 · last edited by Jette Junge · on Apr 03, 2013 (view history) · 13 versions

Removing overlaps on Audio recordings

Context
- SB has a large collection of digitized radio broadcast data, approx. 350.000 hours
- These recordings are split on chunks of 2 hours (the length of the original tapes) with small overlaps between files.
Preservation Issues
- The digitization process creates files that overlap slightly at the ends.
- To enhance user experience, SB wanted to eliminate the overlap so that the broadcast is a continuous show.
SCAPE solution (unique selling point)
- The xCorrSound toolset allows us to detect overlaps and easily cut the recording to make it a single file/show.
- The tool can be applied in large scale (e.g. on hadoop).
Success Story Champion
- Bolette Jurik (SB)
Positive words:

Used in production workflows

Precision in the overlap analysis

Automated process

Leads to Improved and optimized end user experience

Solves an otherwise unsolvable problem

Innovative thinking based on well-known cross correlation

(Independent of operating system)

Resource efficient

Open source - freely available

Command line tool - easy to install and integrate into a workflow

(see description http://wiki.opf-labs.org/display/TR/xcorrSound)

Changed names for tools in xcorrSound (check xcorrSound):

waveform-compare - the former 'migrationQA', is used to compare 2 files to see if they are 'enough alike'

overlap-analysis - Is used to find the overlap between 2 files - an overlap means that the exact same section is found at the end of the first file and the start of the next.

sound-match - is used to find a short sound section every time it appears in a longer sound section. For instance, a special news jingle before and after the newscast. Sound-match can find all the newscast in a radio recording by marking the jingles.