September 10, 2025The Journal of the Acoustical Society of America

Data-driven listening intention detection for hearables

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The innovative system improves sound enhancement by detecting listening intentions and adapting settings dynamically.
Using multiple sensors, the system classifies acoustic environments and infers the acoustic source involved in user interactions.
Implicit user feedback complements the model, allowing non-invasive detection and enhancing the listening experience effectively.
The algorithm is customizable to meet the specific constraints of edge devices, widening its potential application in assistive hearing technologies.

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Implication

This system detects listening intentions and adjusts sound enhancement settings in hearing aids, highlighting user preferences and acoustic scene analysis.

Cite This Study

Giurda et al. (2025) studied this question.

synapsesocial.com/papers/68c24009b210217d64798931 https://doi.org/10.1121/10.0037951

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Implication

This system detects listening intentions and adjusts sound enhancement settings in hearing aids, highlighting user preferences and acoustic scene analysis.

Data-driven listening intention detection for hearables

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Implication

Cite This Study

Data-driven listening intention detection for hearables

Key Points

Discussion

Implication

Cite This Study

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