Innovative Applications of Voice Interaction in Automation
RunRabbit's voice control system realizes three technological breakthroughs: firstly, the zero-sample learning ability, which can maintain a high recognition rate even when facing the non-standard pronunciation of new users; secondly, the contextual association technology, which understands the referential relations such as "this", "last "The most important is the intent disambiguation mechanism, which allows the system to intelligently select specific platforms such as Gmail or Outlook in combination with historical behavior when the user says "open email".
Typical application scenarios, the user issued a "save this data form as a PDF" composite command, the system will automatically perform: 1) locate the current page of the form elements 2) call the browser print function 3) select the PDF format 4) triggering the download process. Throughout the process, the voice system needs to accurately recognize the terminology (such as PDF) and understand the sequence of operation logic.
Test data shows that under 85dB of ambient noise, RunRabbit's speech recognition accuracy can still reach 92%, far exceeding the industry average of 78%, thanks to its unique noise filtering algorithm and domain adaptive technology.
This answer comes from the articleRunRabbit: Using Voice and Text to Operate Intelligent Bodies to Complete Computer OperationsThe
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