Tinnicure: Tinnitus Frequency Detection and Notched Noise Generation

Tinnitus is a neurological condition characterized by the perception of phantom sounds, commonly described as ringing in the ears, in the absence of external auditory stimuli. Affecting over 10% of the global population, it poses significant challenges due to the lack of a standardized and accessible treatment method. This paper presents a web-based application that enables self-diagnosis and personalized white noise therapy through frequency masking. Using the Web Audio API, the system allows users to identify their tinnitus frequency and applies real-time notch filtering to generate therapeutic audio tailored to their condition. The solution operates entirely within the browser, requiring no external plugins or backend servers, thereby ensuring data privacy and cross-platform compatibility. Additionally, the application supports treatment session tracking via local storage, enabling users to monitor progress without compromising anonymity. By offering a cost-effective, accessible, and user-friendly alternative to conventional therapies, this work contributes a scalable digital approach for tinnitus management suitable for both individual use and future clinical expansion.