Value Members

1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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6.  val do_normalize: Boolean

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   Preprocessor

7.  final def eq(arg0: AnyRef): Boolean

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8.  def extractFeatures(rawFloats: Array[Float]): Array[Array[Float]]

   Creates the log-mel spectrogram of given float waveform and transforms it into features for the Whisper model.

   Creates the log-mel spectrogram of given float waveform and transforms it into features for the Whisper model. We assume, that the input has not been preprocessed yet.

   Adapted from huggingface transformer.

   rawFloats

   The waveform to transform into features

   returns

   Extracted Features

9.  val feature_size: Int

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   WhisperPreprocessor → Preprocessor

10.  def finalize(): Unit

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11.  final def getClass(): Class[_]

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12.  val hop_length: Int
13.  final def isInstanceOf[T0]: Boolean

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14.  val n_fft: Int
15.  val n_samples: Int
16.  final def ne(arg0: AnyRef): Boolean

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17.  final def notify(): Unit

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18.  final def notifyAll(): Unit

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19.  val padding_side: String

    Definition Classes

    WhisperPreprocessor → Preprocessor

20.  val padding_value: Float

    Definition Classes

    WhisperPreprocessor → Preprocessor

21.  val return_attention_mask: Boolean

    Definition Classes

    Preprocessor

22.  val sampling_rate: Int

    Definition Classes

    WhisperPreprocessor → Preprocessor

23.  final def synchronized[T0](arg0: ⇒ T0): T0

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24.  final def wait(): Unit

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25.  final def wait(arg0: Long, arg1: Int): Unit

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26.  final def wait(arg0: Long): Unit

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