DOLBY LABORATORIES LICENSING CORPORATION

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 apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.

Algorithms and hardware implementations within display drivers or associated components to enhance visual quality, resolution, or color reproduction, including upscaling, dithering, and compensation for display artifacts like crosstalk.

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.

Adjusting audio presentation parameters in real-time or based on user-specific profiles, environmental conditions, or content characteristics to optimize the listening experience.

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.

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.

Techniques for improving the perceived quality, synchronization, and moderation of audio and voice streams, often involving codec management, transcoding, and content analysis.

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.

Systems and components for projecting images, including light sources (e.g., laser), optical modulation elements (e.g., metasurfaces, spatial modulators), and optical paths for generating and displaying images.

Methods and devices for actively managing the acoustic environment by identifying, mitigating, or masking unwanted sounds (noise) and shaping desired soundscapes.

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.

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.

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.

Methods and systems for efficiently distributing and delivering media content, including techniques for multi-source streaming, content caching, and optimizing delivery based on network conditions or device capabilities.

Systems that combine data from multiple camera sensors or capture multiple images from different perspectives or qualities, often involving image processing techniques like synthesis to create enhanced or comprehensive views.

Engineering solutions for optimizing the acoustic performance and mechanical stability of loudspeakers, including diaphragm materials, spider geometries, vibration suppression, and integration into other devices.

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.

Optical systems and components specifically designed for head-mounted displays, augmented reality (AR) glasses, and virtual reality (VR) headsets, focusing on image projection, waveguide integration, and display durability.

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.

Mechanisms and control systems for precise movement of optical lens elements, often for autofocus, zoom, or image stabilization, utilizing various driving principles (e.g., piezoelectric) and low-friction components.

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.

Techniques and hardware architectures designed to efficiently generate and display complex 3D graphics, particularly for interactive applications like virtual reality, focusing on speed and visual quality.

Techniques and circuits for optimizing power consumption, voltage stability, and energy efficiency in display panels, often involving dynamic voltage scaling, duty cycle control, or remnant voltage management.

Technologies enabling synchronous, interactive multimedia communication sessions, including user interfaces, content sharing, and underlying session management for multiple participants.

Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.

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.

Development of sophisticated optical lens assemblies and computational methods to achieve high-resolution, precise, or specialized imaging, often for medical or scientific applications.

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.

Systems that combine light sources, waveguides, and display elements into unified products for backlighting, automotive applications, general lighting, or color-corrected displays.

Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.

Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.

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.