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Automatic call measuring. Database for recordings. Quick report of results.

bcAdmin is the indispensable helper for eco consultants and scientists who have to manage and measure huge numbers of sound recordings. Designed for the batcorder it constitues its perfect companion.

NEW: bcAdmin 2.0 is available! An overview of changes is available!

Laborious, manual analyses are of yesterday

Are you annoyed by the time-consuming management of your sound files? How often have you transfered lists of recordings from one note application to a spreadsheet application manually? How often did you make mistakes trying to keep these lists current to your manual sound analysis results? bcAdmin is the first application that offers the management and storage of calls and their meta information according to sample date and location (sessions).

Information like location, weather, recording times etc. are collected and stored in connection to each recording. In interaction with batIdent recordings are identified on genus and/or species level. After importing these results reports or graphs can be created displaying the available data.

Mode of operation

bcAdmin is designed to import the recording information per session. Recordings can be analysed in batch mode resulting in measurements of each call of a sequence. These are stored in a file per call sequence (csv and bcCalls) and species can be extracted with batIdent automatically. Different options for summarization and filtering of data exist and help creating meaningful reports.

Data flow

Prerequisites for good measurements

While bcAdmin in general can deal with many different recording devices, there are some prerequisites that improve the automatic measurements. We recommend to use real time recordings of at least 350 kHz sample rate (500 kHz preferred). Amplitude resolution must be 16 bit. System noise should stay below -45 dB (relatively to maximum resolution). The batcorder records with a system noise of -53 dB or less. The SNR (signal to noise ratio) has a strong influence on the process of automatic measuring of calls. The worse the SNR, the less reliable the identification process will work.