The company explains that it’s now built “better neural network acoustic models using Connectionist Temporal Classification and sequence discriminative training techniques” to upgrade its voice search functionality.
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The new tech helps the voice search engine predict phonemes more quickly and differentiate between similar sounding letters.
➤ Google voice search: faster and more accurate [Google Research Blog]
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