de.sciss.strugatzki.CrossSimilarity

ConfigLike

sealed trait ConfigLike extends AnyRef

All durations, spans and spacings are given in sample frames with respect to the sample rate of the audio input file.

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Config, ConfigBuilder
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Abstract Value Members

  1. abstract def audioOutput: File

    The file to which the cross similarity vector is written as an audio file.

  2. abstract def audioOutputType: AudioFileType

    The format type for the output file.

  3. abstract def databaseFolder: File

    The database folder is merely used to retrieve the normalization file, given that normalize is true.

  4. abstract def maxBoost: Float

    Maximum energy boost (as an amplitude factor) allowed for a match to be considered.

    Maximum energy boost (as an amplitude factor) allowed for a match to be considered. The estimation of the boost factor for two matched signals is exp ((ln( loud_in ) - ln( loud_db )) / 0.6 )

  5. abstract def metaInput1: File

    The XML file holding the extractor parameters corresponding to the first audio input file.

    The XML file holding the extractor parameters corresponding to the first audio input file. The audio input file's feature vector output file is determined from this meta file.

  6. abstract def metaInput2: File

    The XML file holding the extractor parameters corresponding to the second audio input file.

    The XML file holding the extractor parameters corresponding to the second audio input file. The audio input file's feature vector output file is determined from this meta file.

  7. abstract def normalize: Boolean

    Whether to apply normalization to the features (recommended).

  8. abstract def span1: NonVoid

    An option which restricts the calculation to a given span within the first input file.

    An option which restricts the calculation to a given span within the first input file. If Span.all, the whole file is considered.

  9. abstract def span2: NonVoid

    An option which restricts the calculation to a given span within the second input file.

    An option which restricts the calculation to a given span within the second input file. If Span.all, the whole file is considered.

  10. abstract def temporalWeight: Float

    The balance between the feature of loudness curve and spectral composition (MFCC).

    The balance between the feature of loudness curve and spectral composition (MFCC). A value of 0.0 means the segmentation is only performed by considering the spectral features, and a value of 1.0 means the segmentation is taking only the loudness into consideration. Values in between give a measure that takes both features into account with the given priorities.

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