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| *Title* \\ | IS24 Characterisation of large amounts of wav audio |
| *Detailed description* | SB holds large amounts of WAV audio (200Tb \+) in different resolutions (ranging from 22Khz 16 bit to 96Khz 24 bit). Different resolutions have been choosen over the years for different reasons (equipment, budgets for storage space, quality of original media in digitisation). Before we ingest all these older collections into our new DOMS we need to do simple characterisation on the files to ensure to generate correct technical metadata (in PREMIS format) for the files. We know that cirtain collections that claim to hold only eg. 48Khz 16 bit files have files in other resolutions - most likely as a result of mis-operation of the digitisation equipment. \\ |
| *Scalability Challenge* \\ | _Large amounts of data (200Tbytes \+). For simple characterisation not much CPU is required but a lot of I/O is needed._ \\
Some of the files are rather large (8Gbytes) - could be a problem for some characterisation tools (not problematic for tools that only reads header information and magic bytes) \\ |
| *[Issue champion|SP:Responsibilities of the roles described on these pages]* | _Bjarne Andersen (SB)_ |
| *Other interested parties* \\ | |
| *Possible Solution approaches* | Should be simple. \\
1. Find appropriate characterisation tool that supports wav in a suitable manner\\
    * XC*L framework seems to have good wav support - evaluate and test. \\
2. Ensure this tools runs within the SCAPE platform \\ |
| *Context* | \\ |
| *Lessons Learned* | \\ |
| *Training Needs* | \\ |
| *Datasets* | [WAV with Danish Radio broadcasts, ripped audio CD’s, and SB in-house audio digitization|SP:WAV with Danish Radio broadcasts, ripped audio CD’s, and SB in-house audio digitization]\\ |
| *Solutions* | |