Utterance Prediction Using Inspiration Waveform Analysis
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Solution Overview
Problem
Existing voice interaction systems struggle to accurately predict user utterances, relying on respiration timing changes from exhalation to inspiration, which is not always reliable for determining whether a user will speak.
Innovation Solution
An information processing apparatus and method that acquires inspiration information and uses a prediction unit to calculate an utterance prediction score based on the inspiration information, comparing it to a threshold to determine if the user will utter, allowing for pre-processing in voice recognition systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system determines utterance timing based on respiration change from exhalation to inspiration, then the system can identify potential utterance moments, but the prediction accuracy of whether the user will actually utter is insufficient
Solution Approach 1:
The patent changes the parameter used for utterance prediction from simple respiration timing detection to a comprehensive analysis including respiration waveform characteristics, amplitude, frequency, and pattern recognition. By analyzing multiple parameters of the respiration signal rather than just timing transitions, the system achieves more accurate and reliable prediction of actual utterance occurrence.
Solution Approach 2:
The system implements feedback by continuously monitoring respiration patterns and comparing them against learned models of pre-utterance respiration behavior. The prediction mechanism uses feedback from multiple respiratory cycles to refine its assessment of utterance likelihood, adjusting predictions based on deviations from normal respiratory patterns that precede speech.
2Productivity
If the system only determines timing at which the system side utters to the user, then the system can control its own response timing, but it cannot predict whether the user will utter
Solution Approach 1:
The system performs preliminary action by detecting and analyzing respiration patterns that precede user utterance. By identifying the characteristic respiratory changes that occur before speech (such as inhalation patterns and breath holding), the system prepares in advance for potential user input, enabling proactive response preparation without losing information about whether the user will actually speak.
Data Source
AI summary
An information processing apparatus according to the present disclosure includes an acquisition unit that acquires inspiration information indicating inspiration of a user, and a prediction unit that predicts whether or not the user utters after the inspiration of the user on the basis of the inspiration information acquired by the acquisition unit.