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tflite_support.task.audio.AudioEmbedder

Class that performs dense feature vector extraction on audio.

number_of_output_layers Gets the number of output layers of the model.
required_audio_format Gets the required audio format for the model.
required_input_buffer_size Gets the required input buffer size for the model.

Methods

cosine_similarity

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Computes cosine similarity [1] between two feature vectors.

create_audio_record

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Creates an AudioRecord instance to record audio.

Returns
An AudioRecord instance.

create_from_file

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Creates the AudioEmbedder object from a TensorFlow Lite model.

Args
file_path Path to the model.

Returns
AudioEmbedder object that's created from options.

Raises
ValueError If failed to create AudioEmbedder object from the provided file such as invalid file.
RuntimeError If other types of error occurred.

create_from_options

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Creates the AudioEmbedder object from audio embedder options.

Args
options Options for the audio embedder task.

Returns
AudioEmbedder object that's created from options.

Raises
ValueError If failed to create AudioEmbedder object from AudioEmbedderOptions such as missing the model.
RuntimeError If other types of error occurred.

create_input_tensor_audio

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Creates a TensorAudio instance to store the audio input.

Returns
A TensorAudio instance.

embed

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Performs actual feature vector extraction on the provided audio.

Args
audio Tensor audio, used to extract the feature vectors.

Returns
embedding result.

Raises
ValueError If any of the input arguments is invalid.
RuntimeError If failed to calculate the embedding vector.

get_embedding_dimension

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Gets the dimensionality of the embedding output.

Args
output_index The output index of output layer.

Returns
Dimensionality of the embedding output by the output_index'th output layer. Returns -1 if output_index is out of bounds.