Python Deep Learning by Gianmario Spacagna & Daniel Slater & Valentino Zocca & Peter Roelants

Python Deep Learning by Gianmario Spacagna & Daniel Slater & Valentino Zocca & Peter Roelants

Author:Gianmario Spacagna & Daniel Slater & Valentino Zocca & Peter Roelants [Spacagna, Gianmario]
Language: eng
Format: azw3, epub
Publisher: Packt Publishing
Published: 2017-05-04T04:00:00+00:00


Speech recognition pipeline

Speech recognition tries to find a transcription of the most probable word sequence considering the acoustic observations provided; this is represented by the following:

transcription = argmax( P(words | audio features))

This probability function is typically modeled in different parts (note that the normalizing term P (audio features) is usually ignored):

P (words | audio features) = P (audio features | words) * P (words)

= P (audio features | phonemes) * P (phonemes | words) * P (words)



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