Voice Response Phase Estimation for Smart Speakers
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Solution Overview
Problem
In voice dialogue systems, it is challenging to accurately understand and respond to user intentions due to the ambiguity of language, particularly in the early stages of the decision-making process, where broad interpretation is necessary, and later stages require precise identification of user utterances.
Innovation Solution
An information processing device and method that includes a phase estimation unit to determine the user's decision-making phase, with a response generation unit that generates responses accordingly, interpreting utterances broadly in the diffusion phase and precisely in the convergence phase, using a neural network for phase estimation and integrating voice recognition, semantic analysis, and user profiling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system broadly interprets user utterances in early decision-making stages, then the adaptability to user needs is improved, but the precision of understanding user intention deteriorates
Solution Approach 1:
The patent applies dynamics by making the interpretation scope adjustable based on the decision-making phase. The system transitions from broad interpretation in early phases to narrow interpretation in later phases, allowing the same system to adapt its behavior dynamically according to the user's decision-making progress.
Solution Approach 2:
The patent changes the parameter of interpretation scope based on the estimated decision-making phase. By estimating the phase and adjusting the interpretation breadth accordingly, the system optimizes both adaptability and precision at different stages of user decision-making.
2Measurement precision
If the system certainly identifies user utterances in later decision-making stages, then the precision of understanding user intention is improved, but the adaptability to explore multiple possibilities deteriorates
Solution Approach 1:
The system dynamically adjusts its identification strictness based on the decision-making phase. In later phases, it transitions from exploring multiple interpretations to certainly identifying the intended meaning, optimizing precision when needed while maintaining adaptability when appropriate.
Solution Approach 2:
The patent changes the parameter of identification certainty based on the estimated phase. By adjusting this parameter according to the user's decision-making progress, the system achieves high precision in later stages while preserving adaptability in earlier stages.
3Adaptability or versatility
If the system presents multiple possible responses in early stages, then the user's decision-making options are improved, but the complexity of response generation increases
Solution Approach 1:
The patent applies dynamics by adjusting the number and variety of responses presented based on the decision-making phase. In early phases, multiple responses are presented to provide options; in later phases, fewer more certain responses are presented, reducing complexity when appropriate.
4Productivity
If the system narrows the information search range in later stages, then the efficiency of response generation is improved, but the risk of missing relevant information increases
Solution Approach 1:
The patent changes the parameter of search range based on the estimated phase. By adjusting the search range from broad to narrow according to the user's decision-making progress, the system achieves high efficiency in later stages while ensuring reliability through initial broad searches.
Data Source
AI summary
Provided is an information processing device comprising an estimation unit that estimates a phase regarding the user's decision making, and a response generation unit that generates a response to the user's utterance according to the estimated phase. The present technology can be applied to, for example, smart speakers and smart displays.