Title	IS21 Migration of mp3 to wav
Detailed description	A large collection of mp3-files (20 Tbytes - 175.000 files) needs to be migrated to wav. Because of the large amount of data we need automatic QA algorithms to ensure that migration went well.
Scalability Challenge	Large amounts of data (20 Tbytes - 175.000 files) - requires both much I/O and CPU for the migration part as well as I/O and CPU for the QA part. Must be carried out on a distributed platform to be realistic.
Issue champion	Bjarne Andersen (SB)
Other interested parties
Possible Solution approaches	SB: develop an audio comparison tool that based on fast-fourier-transformations (FFT) can compare two waveforms
Context
Lessons Learned
Training Needs
Datasets	mp3 (128kbit) with Danish Radio broadcasts
Solutions	SO2 xcorrSound QA audio comparison tool SO4 Audio mp3 to wav Migration and QA Workflow

Evaluation

Objectives	This is about scaleability and robustness. 175.000 files need to be migrated and automatically checked content-wise and format-wise
Success criteria	We will have a workflow that converts from mp3 to wav. Checks the migrated files for wav-conformance and checks the actual content by comparing the content of the mp3s and the corresponding wavs to ensure that nothing went wrong
Automatic measures	1. Process 20 files per hour per node
Manual assessment	1. If any of the migrated files does not pass the QA-test they should actually have failed the migration.
Actual evaluations	links to acutual evaluations of this Issue/Scenario

IS21 Migration of mp3 to wav