Chris Noessel > Masters Project: Free Range Learning Support> All Ears
Introduction  |  Process  |  The Service  |  Experience Prototypes  |  Conclusion  |  Appendices

All Ears

  When a learner is not using her cell phone, it can act as a passive recording device. In this service component called All Ears, the phone uses speech recognition to store what is spoken as text. To improve language skills, real-time parsers like the sort found in Microsoft's popular Word program check the text for grammar or vocabulary errors. Learners can opt to either receive a silent vibration at the moment an error is detected, or a day's summary that is emailed to them. Alternately, the stored text can be parsed for repeated words and themes from which new or potential learning topics can be derived and stored tentatively in the learner's profile. It is worth noting that because accurate, real-time voice recognition in noisy circumstances is many years away, this is the most distant of the ideas presented here.

References and Influences:

  • Dragon Naturally Speaking: ScanSoft’s Dragon NaturallySpeaking software boasts the most accuracy in real-time speech recognition.
  • Microsoft Office: Microsoft's Office Suite provides a common example of real-time spelling and grammar parsing.

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