Adaptive External Sound Control for Selective Noise Canceling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing noise canceling technologies do not effectively provide a high-quality listening experience by adequately reducing ambient environmental sound.
Innovation Solution
An information processing apparatus and method that controls ambient external sound based on metadata related to the external sound, using a controller to adjust sound pressure, direction, and other parameters to enhance desired sounds and reduce unwanted noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noise canceling is performed at all times to reduce ambient environmental sound, then the listening quality is improved, but the user cannot hear important external sounds such as danger signals or conversations
Solution Approach 1:
The noise canceling function is made dynamic by allowing the user to adjust the degree of noise canceling through a slider or similar interface. This enables the noise canceling level to change continuously based on user preference and environmental conditions, rather than being fixed at maximum cancellation. The system transitions from a static all-or-nothing approach to a dynamic adjustable approach.
Solution Approach 2:
The system applies different noise canceling strategies to different frequency ranges or sound types. By analyzing the external sound environment and identifying specific noise sources, the system can apply targeted noise canceling to harmful frequencies while preserving important sounds such as human voices or danger signals. This selective approach allows simultaneous reduction of unwanted noise and preservation of meaningful audio information.
2Object-affected harmful factors
If the noise canceling function is enhanced to provide better listening experience, then the sound quality is improved, but the device complexity increases
Solution Approach 1:
The system automatically analyzes the external sound environment and adjusts noise canceling parameters without requiring complex manual configuration. The noise analyzer continuously monitors ambient sounds and the controller automatically adapts the noise canceling function based on detected sound patterns, making the system self-adjusting and reducing the need for complex user interfaces or manual tuning.
Solution Approach 2:
The system performs preliminary analysis of the external sound environment before applying noise canceling. By pre-processing the ambient sound signal to identify noise characteristics and patterns, the system can prepare appropriate noise canceling strategies in advance, simplifying the real-time control process and reducing computational complexity during active noise canceling.
Data Source
AI summary
In order to achieve the object described above, an information processing apparatus according to an embodiment of the present technology includes a controller. The controller controls ambient external sound around a user on the basis of metadata related to the external sound, the metadata being added to content played back according to user information regarding the user. This makes it possible to provide high-quality listening experience. Further, when content, such as narration or notice sound, that is desired to be heard by a user is played back, audio ducking is performed with respect to external sound, and this enables the content to be played back without being affected by the external sound. Further, experience intendedly utilizing external sound can also be provided.