Resource retrieval

Get the pre-trained net:

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NetModel parameters

This model consists of a family of individual nets, each identified by a specific parameter. Inspect the available parameters:

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Pick a non-default net by specifying the parameters:

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Pick a non-default uninitialized net:

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Evaluation function

Define an evaluation function that runs the net and produces the final transcribed text:

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Basic usage

Record an audio sample and transcribe it:

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Try it over different audio samples. Notice that the output can contain spelling mistakes, especially with noisy audio. Hence a spellchecker is usually needed as a post-processing step:

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Feature extraction

Take the feature extractor from the trained net and aggregate the output so that the net produces a vector representation of an audio clip:

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Get a set of utterances in various languages:

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Visualize the features of a set of audio clips:

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Net information

Inspect the sizes of all arrays in the net:

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Obtain the total number of parameters:

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Obtain the layer type counts:

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Display the summary graphic:

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