de.sciss.strugatzki.FeatureExtraction

Settings

final case class Settings(audioInput: File, featureOutput: File, metaOutput: Option[File], numCoeffs: Int, fftSize: Int, fftOverlap: Int, channelsBehavior: ChannelsBehavior) extends SettingsLike with Product with Serializable

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Instance Constructors

  1. new Settings(audioInput: File, featureOutput: File, metaOutput: Option[File], numCoeffs: Int, fftSize: Int, fftOverlap: Int, channelsBehavior: ChannelsBehavior)

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. val audioInput: File

    The input audio file to extract the features from.

    The input audio file to extract the features from.

    Definition Classes
    SettingsSettingsLike
  8. val channelsBehavior: ChannelsBehavior

    The channel behaviour determines how to handle multichannel files.

    The channel behaviour determines how to handle multichannel files. Currently the feature vectors are calculated on a mono signal only. This setting determines whether multiple channels in the input audio file are mixed together, or if just the first or just the last channel is used in the extraction process.

    Definition Classes
    SettingsSettingsLike
  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws()
  10. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  11. val featureOutput: File

    The output "audio" file to write the feature vectors to (this will be in AIFF format).

    The output "audio" file to write the feature vectors to (this will be in AIFF format).

    Definition Classes
    SettingsSettingsLike
  12. val fftOverlap: Int

    The FFT overlap factor used to step from vector to vector.

    The FFT overlap factor used to step from vector to vector. This equals fftSize / stepSize, so a value of 2 means the window step is half of the fft size (windows are 50% overlapping).

    Definition Classes
    SettingsSettingsLike
  13. val fftSize: Int

    The FFT size used to calculate the feature vectors.

    The FFT size used to calculate the feature vectors.

    Definition Classes
    SettingsSettingsLike
  14. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws()
  15. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  16. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  17. val metaOutput: Option[File]

    An optional file to which the extraction settings are saved (in XML format).

    An optional file to which the extraction settings are saved (in XML format).

    Definition Classes
    SettingsSettingsLike
  18. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  19. final def notify(): Unit

    Definition Classes
    AnyRef
  20. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  21. val numCoeffs: Int

    The number of MFCC used for the spectral feature.

    The number of MFCC used for the spectral feature.

    Definition Classes
    SettingsSettingsLike
  22. final def pretty: String

    Definition Classes
    SettingsLike
  23. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
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  24. def toXML: Elem

  25. final def wait(): Unit

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    @throws()
  26. final def wait(arg0: Long, arg1: Int): Unit

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  27. final def wait(arg0: Long): Unit

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Inherited from Serializable

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Inherited from SettingsLike

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