Patent · US Active

Selective activation of smaller resource footprint automatic speech recognition engines by predicting a domain topic based on a time since a previous communication

US11030994B2 · kind B2 · utility

1Cited by
2References
20Claims
0Family size

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Key dates

Filing dateApr 24, 2019
Grant dateJun 8, 2021
Priority date
Expiry dateJul 12, 2039

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG10L2015/226
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A method and data processing device for detecting a communication between a first and second entity. The method includes identifying whether a previous communication between the first and second entity has been detected. In response to identifying that the previous communication between the first and second entity has been detected, the method determines an elapsed time since detection of the previous communication. The method predicts a topic of the communication, in part based on the determined elapsed time. The topic corresponds to a specific domain from among a plurality of available domains for automatic speech recognition (ASR) processing. The method triggers selection and activation of a first domain specific (DS) ASR engine from among a plurality of available DS ASR engines to utilize a smaller resource footprint than a general ASR engine and facilitate recognition of specific vocabulary and context, in part, based on the elapsed time since the previous communication.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.