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doc/source/tutorials/data_management.rst

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.. This file is part of TimeSide
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@author: Thomas Fillon
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Data management examples
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===============
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Data management
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===============
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TimeSide offers various ways to access to audio data or metadata. `AnalyzerResult` is the python data structure where TimeSide embeds all the data resulting from a given analyzer processors after a run. It is thus the base object to access the analysis results and all the corresponding metadata. Bellow are some examples of use of the AnalyzerResult object and some of its methods.
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Usage : AnalyzerResult(data_mode=None, time_mode=None)
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Four different *time_mode* can be specified :
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- 'framewise' : Data are returned on a frame basis (i.e. with specified blocksize, stepsize and framerate)
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- 'global' : A global data value is return for the entire audio item
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- 'segment' : Data are returned on a segmnet basis (i.e. with specified start time and duration)
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- 'event' : Data are returned on a segment basis (i.e. with specified start time)
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- 'framewise' : data are returned on a frame basis (i.e. with specified blocksize, stepsize and framerate)
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- 'global' : a global data value is return for the entire audio item
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- 'segment' : data are returned on a segmnet basis (i.e. with specified start time and duration)
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- 'event' : data are returned on a segment basis (i.e. with specified start time)
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Two different *data_mode* can be specified :
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- 'value' : Data are returned as numpy Array of arbitrary type
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- 'label' : Data are returned as label indexes (specified by the label_metadata key)
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- 'value' : data are returned as numpy Array of arbitrary type
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- 'label' : data are returned as label indexes (specified by the label_metadata key)
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Default values are *time_mode = 'framewise'* and *data_mode = 'value'*
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==========================
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Four different time_mode can be specified :
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- 'framewise' : Data are returned on a frame basis (i.e. with specified blocksize, stepsize and framerate)
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- 'global' : A global data value is return for the entire audio item
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- 'segment' : Data are returned on a segmnet basis (i.e. with specified start time and duration)
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- 'event' : Data are returned on a segment basis (i.e. with specified start time)
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- 'framewise' : data are returned on a frame basis (i.e. with specified blocksize, stepsize and framerate)
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- 'global' : a global data value is return for the entire audio item
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- 'segment' : data are returned on a segmnet basis (i.e. with specified start time and duration)
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- 'event' : data are returned on a segment basis (i.e. with specified start time)
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Framewise
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==========================
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Two different data_mode can be specified :
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- 'value' : Data are returned as numpy Array of arbitrary type
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- 'label' : Data are returned as label indexes (specified by the label_metadata key)
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- 'value' : data are returned as numpy Array of arbitrary type
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- 'label' : data are returned as label indexes (specified by the label_metadata key)
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Value
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