Function AudioSpectrogram

tensorflow/go/op/wrappers.go:31244–31261

Produces a visualization of audio data over time. Spectrograms are a standard way of representing audio information as a series of slices of frequency information, one slice for each window of time. By joining these together into a sequence, they form a distinctive fingerprint of the sound over tim

(scope *Scope, input tf.Output, window_size int64, stride int64, optional ...AudioSpectrogramAttr)

//
// Returns 3D representation of the audio frequencies as an image.
func AudioSpectrogram(scope *Scope, input tf.Output, window_size int64, stride int64, optional ...AudioSpectrogramAttr) (spectrogram tf.Output) {
	if scope.Err() != nil {
		return
	}
	attrs := map[string]interface{}{"window_size": window_size, "stride": stride}
	for _, a := range optional {
		a(attrs)
	}
	opspec := tf.OpSpec{
		Type: "AudioSpectrogram",
		Input: []tf.Input{
			input,
		},
		Attrs: attrs,
	}
	op := scope.AddOperation(opspec)
	return op.Output(0)
}

// StatefulUniformAttr is an optional argument to StatefulUniform.
type StatefulUniformAttr func(optionalAttr)