AudioClassifier

Performs audio classification on audio clips or audio stream.

This API expects a TFLite model with mandatory TFLite Model Metadata that contains the mandatory AudioProperties of the solo input audio tensor and the optional (but recommended) label items as AssociatedFiles with type TENSOR_AXIS_LABELS per output classification tensor.

Input tensor: (kTfLiteFloat32)

• input audio buffer of size `[batch * samples]`.
• batch inference is not supported (`batch` is required to be 1).
• for multi-channel models, the channels need be interleaved.

At least one output tensor with: (kTfLiteFloat32)

• `[1 x N]` array with `N` represents the number of categories.
• optional (but recommended) label items as AssociatedFiles with type TENSOR_AXIS_LABELS, containing one label per line. The first such AssociatedFile (if any) is used to fill the `category_name` field of the results. The `display_name` field is filled from the AssociatedFile (if any) whose locale matches the `display_names_locale` field of the `AudioClassifierOptions` used at creation time ("en" by default, i.e. English). If none of these are available, only the `index` field of the results will be filled.