Company patents
YAMAHA CORPORATION
YAMAHA CORPORATION's patent strategy reveals a surprising shift away from its traditional audio core, with Loudspeakers & Microphones, representing 25.9% of its portfolio, experiencing a significant decline of -50.0% so far in 2026. While core audio categories are declining, there's an emerging focus on Image Processing, which saw a 40.0% growth so far in 2026, and a notable 100.0% growth in Amplifiers, suggesting a pivot towards underlying hardware components and visual technologies.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
582 US filings (since 2023) · 12 categories · 27 themes
Techniques for enhancing, encoding, decoding, or separating speech and audio signals, often involving multi-microphone arrays, acoustic echo cancellation, beamforming, or advanced audio compression for improved clarity and quality.
Methods and devices for actively managing the acoustic environment by identifying, mitigating, or masking unwanted sounds (noise) and shaping desired soundscapes.
Adjusting audio presentation parameters in real-time or based on user-specific profiles, environmental conditions, or content characteristics to optimize the listening experience.
Engineering solutions for optimizing the acoustic performance and mechanical stability of loudspeakers, including diaphragm materials, spider geometries, vibration suppression, and integration into other devices.
Application of neural networks and AI/ML models within hearing devices or audio systems to enhance, filter, or process audio signals for improved user experience, such as speech understanding or noise reduction.
Techniques for efficiently representing, compressing, and decompressing spatial audio information, such as inter-channel phase/time differences, directional components, or higher-order ambisonics, for storage or transmission.
Systems and methods for integrating and managing spatial audio within extended reality (XR), virtual reality (VR), or augmented reality (AR) environments, often involving dynamic audio source positioning, streaming, and synchronization with visual elements.
Integration of advanced functionalities into headphones, earphones, or hearing aids, such as multi-device connectivity, health monitoring sensors, custom fitting mechanisms, and intelligent audio switching or control.
Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.
Design and manufacturing techniques for microelectromechanical systems (MEMS) microphones, focusing on physical components like diaphragms, movable masses, and housing for improved performance, heat management, or fluid interaction.
Signal processing techniques for multi-microphone systems to enhance desired audio signals and suppress noise or interference by spatially filtering sound sources, improving signal-to-noise ratio and channel separation.
Circuit designs and control techniques focused on maximizing the power conversion efficiency of amplifiers, especially for radio frequency (RF) or audio applications, often involving load modulation, envelope tracking, or specific amplifier classes (e.g., Class-D, Doherty).
Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.
Methods and systems for identifying synthetic or manipulated speech (deepfake audio) using forensic analysis of audio features, such as breath patterns, vocoder signatures, or machine learning models to determine authenticity.
Technologies for generating artificial speech that is personalized, context-aware, or adaptable to specific virtual agents or messaging campaigns, often utilizing text-to-speech (TTS) and audio caching for efficient delivery.
Amplifier designs that allow for dynamic adjustment of their operating characteristics, such as gain, impedance, or amplification path, based on control signals, input conditions, or desired performance modes.
Technologies that create dynamic and interactive visual content for displays, including virtual/wearable systems, by generating overlays, replacing input streams, or merging real-time user actions with digital environments.
Methods and circuits to detect and compensate for various imperfections in amplifier operation, such as DC offset, gain errors, phase errors, duty-cycle errors, or input error components, to improve accuracy and signal integrity.
Designing user interfaces and interaction methods specifically for mobile or wearable devices, enabling control of external systems, monitoring user states, or facilitating real-world transactions.
Techniques and hardware architectures for optimizing the radio frequency (RF) front-end, antenna systems, and beamforming strategies in wireless networks to improve signal quality, capacity, and interference mitigation.
Specialized amplifier types designed for converting current to voltage (transimpedance) or voltage to current (transconductance), often featuring virtual ground configurations, precise gain setting, and compensation for input/output characteristics.
Enhancements to the physical and data link layers of network communication, focusing on hardware components, signal integrity, power efficiency, and efficient data transfer mechanisms for specific interfaces and buses.
Techniques for efficiently supplying power to electronic devices, managing battery charge/discharge cycles, optimizing power consumption, and converting power between different voltage levels or AC/DC for improved energy efficiency and longevity.
Techniques for rendering, interacting with, and managing content within augmented or virtual reality environments, including spatial tracking, gaze interaction, and dynamic multi-application display management.
Applications of speech processing and artificial intelligence for medical diagnosis, therapeutic interventions, or accessibility solutions, particularly for conditions affecting speech production or hearing.
Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.
Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.
Patents
Showing 1-10 of 14
Amplifier Error & Offset Correction