{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852735","patent":{"patent_number":"US-9852735","title":"Efficient coding of audio scenes comprising audio objects","assignee":null,"inventors":[],"filing_date":"2014-05-23T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G10L","H04S","H04S","H04S","H04S","H04S","H04S","H04S"],"num_claims":18,"abstract":"There is provided encoding and decoding methods for encoding and decoding of object based audio. An exemplary encoding method includes inter alia calculating M downmix signals by forming combinations of N audio objects, wherein M≦N, and calculating parameters which allow reconstruction of a set of audio objects formed on basis of the N audio objects from the M downmix signals. The calculation of the M downmix signals is made according to a criterion which is independent of any loudspeaker configuration."},"analysis":{"summary":"The patent titled \"Efficient Coding of Audio Scenes Comprising Audio Objects\" (US-9852735) introduces a revolutionary method for encoding and decoding object-based audio, directly addressing the inefficiencies and inflexibilities of traditional channel-based audio systems. The core innovation lies in its ability to process complex audio scenes, composed of 'N' individual audio objects, into a more compact and adaptable format.\n\nAt its heart, this invention solves the problem of delivering high-quality, immersive audio experiences across diverse playback environments (from headphones to multi-speaker arrays) without incurring excessive bandwidth or computational costs. Existing channel-based solutions require unique mixes for specific speaker setups, leading to redundant data and limited adaptability. Object-based audio, while more flexible, can still be data-intensive if all objects are transmitted independently.\n\nThe key technical approach involves calculating 'M' downmix signals from the 'N' audio objects, where M is less than or equal to N. Alongside these downmix signals, the system calculates crucial 'parameters' that enable the precise reconstruction of the audio objects (or a perceptually equivalent set) at the decoding stage. Critically, the method for calculating these downmix signals is entirely independent of any specific loudspeaker configuration. This 'loudspeaker-agnostic' criterion ensures universal adaptability.\n\nThis innovation offers substantial business value by dramatically reducing the bandwidth required for streaming immersive content, lowering storage costs, and simplifying content distribution. It provides a competitive advantage for media companies, streaming platforms, and hardware manufacturers seeking to deliver superior, adaptive audio experiences. The market opportunity is vast, spanning virtual reality, augmented reality, advanced gaming, cinematic sound, and next-generation broadcasting, all of which demand efficient and flexible spatial audio solutions. This patent positions its implementers at the forefront of the immersive audio revolution, offering a scalable and future-proof framework.","layman_explanation":"### What Problem Does This Solve?\n\nImagine you're trying to deliver a really complex, dynamic sound experience – like a virtual reality game where sounds come from all directions, or a movie with objects moving around you in a home theater. The old way of doing this, called 'channel-based audio,' is like trying to send a video stream that's perfectly formatted for only one specific TV screen size. If someone has a different screen, the video either looks wrong or needs to be completely re-processed, which is costly and slow.\n\nThe core business problem is the inefficiency and inflexibility of delivering high-quality, immersive audio. Every different speaker setup (headphones, 2 speakers, 5 speakers, 10 speakers) traditionally required its own unique audio mix. This meant huge amounts of data to store and transmit, high bandwidth costs for streaming companies, and a subpar experience for users whose systems didn't match the 'perfect' mix. Existing solutions were either too data-heavy or too rigid to adapt to the diverse range of devices consumers use today, leading to compromised immersion and higher operational expenses.\n\n### How Does It Work?\n\nThis patent, \"Efficient Coding of Audio Scenes Comprising Audio Objects,\" introduces a smarter way. Instead of thinking about 'channels' (like left speaker, right speaker), it thinks about 'audio objects' – individual sound elements, like a character's voice, a gunshot, or a specific instrument. Each object has its own sound and its own location in a virtual 3D space.\n\nHere's the clever part: The system doesn't send *every single* audio object separately, which would still be a lot of data. Instead, it intelligently combines these many audio objects into a *smaller number* of 'downmix signals.' Think of these as super-efficient, consolidated sound streams. But that's not all – it also generates a set of 'parameters,' which are like a detailed instruction manual. This manual tells your device how to take those consolidated sound streams and reconstruct all the original audio objects, placing them perfectly in your specific listening environment.\n\nCrucially, the way these consolidated sound streams are created is completely independent of what kind of speakers you have. It's 'loudspeaker-agnostic.' So, whether you have simple headphones, a soundbar, or a complex multi-speaker system, the same compact data package can be sent. Your device then uses the 'instruction manual' to render the sound objects precisely for your setup, delivering a truly immersive and accurate spatial audio experience without needing a custom mix for every device.\n\n### Why Does This Matter?\n\nThis innovation fundamentally changes the economics of immersive audio. For streaming services, it means drastically reduced bandwidth and storage costs, allowing them to deliver higher quality immersive experiences to more users without breaking the bank. For hardware manufacturers, it enables the creation of 'smarter' devices that can adapt to any audio content, enhancing product value and differentiation. For content creators, it simplifies the production of immersive sound, freeing them from technical constraints and allowing for greater artistic freedom.\n\nIn essence, this patent provides a scalable, future-proof solution for a rapidly growing market. It allows businesses to invest confidently in immersive content, knowing that their audio will be delivered efficiently and effectively to any consumer device, ensuring a premium user experience and a strong return on investment. It's a competitive advantage that can redefine leadership in the entertainment, gaming, and communication sectors.\n\n### What's Next?\n\nThis technology is poised to become a cornerstone for next-generation audio standards. We can expect to see wider adoption in virtual and augmented reality platforms, advanced home entertainment systems, and even automotive audio, where personalized sound zones are becoming a reality. As demand for immersive experiences continues to grow, this efficient coding approach will drive market adoption, making high-quality spatial audio a standard feature rather than a niche luxury. For investors, it signals a prime opportunity in a technology that addresses a critical infrastructure need for the digital future.","technical_analysis":"The patent \"Efficient Coding of Audio Scenes Comprising Audio Objects\" (US-9852735) describes a sophisticated methodology for the efficient encoding and decoding of object-based audio, representing a significant stride in addressing the challenges of delivering immersive soundscapes. The fundamental technical problem it tackles is the inherent inefficiency and lack of adaptability in traditional channel-based audio systems when confronted with the dynamic requirements of 3D audio environments.\n\n**Technical Architecture and Core Innovation**\n\nThe system operates on the principle of object-based audio, where individual sound sources (e.g., a dialogue track, a specific instrument, an ambient effect) are treated as discrete 'audio objects,' each with its own associated audio stream and metadata (e.g., spatial coordinates, loudness, directivity). The core innovation lies in the encoder's ability to take 'N' such audio objects and intelligently reduce them into 'M' downmix signals, where M is less than or equal to N. This is not a simple summation; rather, it involves forming 'combinations' of the N audio objects. Simultaneously, the encoder calculates a set of 'parameters' that are essential for reconstructing the original or a perceptually equivalent set of audio objects from these M downmix signals at the decoder.\n\nCrucially, the criterion for calculating these M downmix signals is entirely independent of any specific loudspeaker configuration. This 'loudspeaker-agnostic' approach is a paradigm shift, as it liberates the encoded audio from the constraints of a predefined playback setup. Instead of optimizing for, say, a 7.1 system, the downmixing is optimized for intrinsic audio properties and spatial cues that are universally applicable, regardless of the final rendering environment.\n\n**Algorithm Specifics and Implementation Details**\n\n1.  **Input**: The encoder receives N discrete audio objects, each comprising its waveform data and spatial metadata (e.g., position in a 3D Cartesian or spherical coordinate system, velocity, size).\n2.  **Downmix Signal Calculation**: This is a complex process. It likely involves a matrixing operation where each of the M downmix signals is a weighted sum of the N input audio objects. The weighting coefficients are not fixed but are dynamically determined based on the loudspeaker-agnostic criterion. This criterion could be based on:\n    *   **Perceptual salience**: Prioritizing objects that are perceptually most important or dominant.\n    *   **Spatial decorrelation**: Ensuring that the downmix signals retain enough independent information to allow for spatial separation upon reconstruction.\n    *   **Information theory**: Minimizing redundancy while maximizing the information content relevant for spatial rendering.\n    *   **Directional grouping**: Combining objects that are spatially close or share similar directional characteristics into fewer signals.\n3.  **Parameter Calculation**: Simultaneously with downmixing, the encoder extracts and quantizes various parameters. These parameters are the 'intelligence' transmitted alongside the downmix signals, enabling the decoder to perform the inverse operation. Examples of such parameters could include:\n    *   **Downmix coefficients/matrix**: The specific weights used for the downmixing process.\n    *   **Spatial metadata**: Reduced or compressed representations of the objects' original spatial positions relative to each other or a global reference.\n    *   **Inter-object correlation/decorrelation cues**: Information to guide the decoder in creating appropriate spatial separation or blending.\n    *   **Energy ratios**: Relative energy contributions of individual objects to the downmix signals.\n    *   **Temporal envelopes**: Dynamic changes in object characteristics over time.\n    The parameters are typically highly compressed and quantized to maintain overall bit rate efficiency.\n4.  **Decoding and Reconstruction**: At the receiving end, the decoder receives the M downmix signals and the associated parameters. It uses these parameters to 'unmix' or 'render' the audio objects. This rendering process is dynamic and adaptive. Based on the target loudspeaker configuration (e.g., 2.0 stereo, 5.1 surround, binaural headphones, or a custom 22.2 array), the decoder applies the parameters to spatially position and render the reconstructed audio objects. For binaural rendering, head-related transfer functions (HRTFs) would be applied based on the reconstructed object positions. For speaker arrays, panning laws and level adjustments would be applied to direct the sound to the appropriate speakers.\n\n**Integration Patterns and Performance Characteristics**\n\nThe system is designed for high efficiency. By transmitting M downmix signals (where M is typically much smaller than N) and compact parameters, it achieves significant bandwidth reduction compared to transmitting N full-resolution audio objects or multiple channel-based mixes. The computational load is distributed, with the encoder performing the complex downmixing and parameter extraction, and the decoder performing the adaptive rendering. Modern DSPs and dedicated audio hardware can efficiently handle the decoding complexity in real-time. This system could be integrated into existing perceptual audio codecs (e.g., AAC, AC-4, MPEG-H) as an object-based extension, or form the core of a new, highly efficient immersive audio codec. Its interoperability with various rendering engines is a key advantage. The performance is characterized by its ability to maintain high perceptual quality and spatial accuracy despite significant data reduction, a testament to the intelligent parameterization and downmixing strategy. The inherent flexibility means it's future-proof against evolving playback technologies.","business_analysis":"The \"Efficient Coding of Audio Scenes Comprising Audio Objects\" patent (US-9852735) represents a significant leap forward in audio technology, with profound implications for various industries. This innovation is not merely a technical refinement; it's a strategic enabler for the next generation of immersive digital experiences, addressing critical market needs and opening new revenue streams.\n\n**Market Opportunity Size**\n\nThe global market for immersive audio, encompassing virtual reality, augmented reality, gaming, cinematic experiences, and advanced broadcasting, is experiencing exponential growth. Projections indicate this market will reach tens of billions of dollars within the next few years. The existing challenge of delivering high-quality, adaptive immersive audio efficiently has been a bottleneck. This patent directly addresses that bottleneck, unlocking the full potential of these markets. By enabling more efficient and flexible audio delivery, it expands the addressable market for immersive content and devices, making sophisticated spatial audio accessible to a broader consumer base.\n\n**Competitive Advantages**\n\nImplementing this technology provides a substantial competitive edge. Companies leveraging this patent can offer: \n*   **Superior User Experience**: Delivering truly adaptive and perceptually accurate spatial audio, enhancing immersion and engagement across all playback devices. This directly translates to higher customer satisfaction and loyalty. \n*   **Cost Efficiency**: Significant reduction in bandwidth requirements for streaming and distribution, leading to lower operational costs for content providers. Reduced storage needs also contribute to cost savings. \n*   **Future-Proofing**: The loudspeaker-agnostic nature of the invention ensures that content encoded with this method remains compatible and optimal for future audio playback hardware and standards, protecting long-term investments in content creation. \n*   **Scalability**: A single encoded audio stream can serve a multitude of devices and configurations, simplifying content management and distribution workflows.\n\n**Revenue Potential and Business Models**\n\nThis patent opens several revenue avenues: \n*   **Licensing**: The core technology can be licensed to hardware manufacturers (e.g., smart TVs, soundbars, headphones, VR headsets), software developers (e.g., game engines, DAW plugins), and streaming platforms. \n*   **Enhanced Service Tiers**: Streaming services could offer premium 'immersive audio' tiers powered by this efficiency, justifying higher subscription fees. \n*   **Content Creation Tools**: Development of specialized encoder/decoder tools and software development kits (SDKs) for content creators, enabling them to produce and optimize object-based audio more effectively. \n*   **Consulting and Integration Services**: Providing expertise to integrate this advanced audio coding into existing ecosystems.\n\n**Strategic Positioning**\n\nCompanies adopting this invention can strategically position themselves as leaders in immersive audio technology. For streaming giants, it means offering a more compelling, high-quality audio experience than competitors. For device manufacturers, it enables the creation of 'smart' audio products that dynamically adapt to the user's environment, enhancing product differentiation. In the gaming and VR/AR sectors, it allows for more realistic and responsive soundscapes, crucial for user immersion and competitive advantage. This technology also aligns perfectly with the trend towards personalized media consumption, as audio can be dynamically tailored to individual preferences and environments.\n\n**ROI Projections**\n\nWhile specific ROI will vary, the benefits are clear. Reduced bandwidth and storage costs offer immediate operational savings. The ability to deliver superior user experiences can lead to increased subscriber acquisition and retention for media platforms. For hardware, it can drive product sales and command premium pricing. The long-term value comes from being at the forefront of an evolving market, setting new industry standards, and capturing market share in the rapidly expanding immersive content ecosystem. The investment in licensing or developing solutions based on this patent is likely to yield substantial returns by enabling competitive differentiation and unlocking new market opportunities.","faqs":[{"answer":"The patent \"Efficient Coding of Audio Scenes Comprising Audio Objects\" (US-9852735) describes a groundbreaking method for encoding and decoding object-based audio. Unlike traditional channel-based audio which mixes sound for specific speaker setups, this innovation treats individual sounds (like a voice, an instrument, or an effect) as distinct 'audio objects' with their own spatial information.\n\nIts core purpose is to make the delivery of complex, immersive audio scenes incredibly efficient and universally adaptable. The system takes many audio objects, intelligently combines them into a smaller number of 'downmix signals,' and simultaneously calculates 'parameters' that serve as an instruction manual for reconstruction. This allows for high-quality, spatial audio to be delivered with significantly reduced bandwidth and storage requirements.\n\nEssentially, this technology enables a single, compact audio stream to be sent, which can then be dynamically rendered to perfectly suit any listening environment, from headphones to sophisticated multi-speaker systems. It's a key enabler for the next generation of immersive experiences in gaming, virtual reality, streaming, and more.\n\n*Keywords: object-based audio, efficient coding, spatial audio, immersive sound, audio compression*","question":"What is Efficient Coding of Audio Scenes Comprising Audio Objects?"},{"answer":"The technology behind \"Efficient Coding of Audio Scenes Comprising Audio Objects\" operates in two main phases: encoding and decoding. In the encoding phase, the system receives 'N' individual audio objects, each with its associated sound data and spatial metadata (e.g., its 3D position).\n\nInstead of transmitting all N objects separately, the encoder performs a sophisticated process. It calculates 'M' downmix signals (where M is less than or equal to N) by forming specific combinations of the original audio objects. Crucially, this downmixing is done according to a criterion that is entirely independent of any specific loudspeaker configuration. Simultaneously, the encoder calculates a set of 'parameters.' These parameters are vital; they contain the intelligence needed to guide the decoder in reconstructing the audio objects later.\n\nIn the decoding phase, a playback device receives these M downmix signals and the accompanying parameters. The decoder then uses these parameters to dynamically reconstruct and render the audio objects. This rendering is adaptive, meaning it tailors the sound output to the specific speaker setup or headphone environment of the listener, ensuring accurate spatialization and preserving the original sonic characteristics of the objects. This intelligent compression and adaptive rendering are what make the system so efficient and flexible.\n\n*Keywords: audio encoding, audio decoding, downmix signals, reconstruction parameters, object-based audio workflow, adaptive rendering*","question":"How does Efficient Coding of Audio Scenes Comprising Audio Objects work?"},{"answer":"The \"Efficient Coding of Audio Scenes Comprising Audio Objects\" patent primarily solves the critical problem of efficiently delivering high-quality, immersive, and adaptive audio experiences across a diverse range of playback devices and environments. Traditional audio systems, which are 'channel-based,' require audio to be pre-mixed for a fixed number of speakers. This approach becomes highly inefficient and inflexible for modern immersive applications like VR, AR, and advanced streaming.\n\nExisting solutions faced significant challenges: either massive bandwidth and storage requirements (if trying to deliver many custom mixes or uncompressed object audio), or compromised audio quality and spatial accuracy (if downmixing for incompatible systems). This created a bottleneck for the widespread adoption of truly dynamic and interactive soundscapes.\n\nThis invention resolves this by providing a method that significantly reduces the data footprint of object-based audio while maintaining universal adaptability. It ensures that a single, efficiently encoded audio stream can provide an optimal immersive experience on any device, thereby lowering distribution costs, improving streaming performance, and enhancing the overall user experience.\n\n*Keywords: bandwidth efficiency, immersive audio problems, spatial audio challenges, audio data reduction, adaptive sound, content distribution*","question":"What problem does Efficient Coding of Audio Scenes Comprising Audio Objects solve?"},{"answer":"The inventors of the \"Efficient Coding of Audio Scenes Comprising Audio Objects\" patent (US-9852735) are not listed in the provided patent data. The assignee, which is the entity or company to whom the patent rights are legally assigned, is also not specified in the abstract or patent data given.\n\nTypically, such patents are developed by teams of engineers and researchers within leading technology companies or research institutions specializing in audio processing, digital signal processing, or media technology. These entities invest heavily in R&D to push the boundaries of sound innovation.\n\nThe absence of inventor and assignee details in the provided abstract is common for concise summaries, but the full patent document would contain this crucial information. Identifying the specific inventors and assignee would provide valuable insight into the origins and strategic intent behind this significant audio technology.\n\n*Keywords: patent inventors, patent assignee, audio technology research, digital audio innovation, US-9852735 inventors, intellectual property*","question":"Who invented Efficient Coding of Audio Scenes Comprising Audio Objects?"},{"answer":"The \"Efficient Coding of Audio Scenes Comprising Audio Objects\" patent offers several transformative benefits for the audio and media industries:\n\nFirstly, **unprecedented bandwidth efficiency**. By intelligently compressing many audio objects into fewer downmix signals plus compact parameters, this technology drastically reduces the data required to transmit high-quality immersive audio. This means faster streaming, less buffering, and lower operational costs for content providers.\n\nSecondly, it provides **universal device compatibility and adaptability**. Because the encoding process is 'loudspeaker-agnostic,' a single encoded stream can be dynamically rendered to perfectly suit any playback system – from headphones to complex multi-speaker arrays. This eliminates the need for multiple, device-specific audio mixes.\n\nThirdly, it ensures **high-fidelity spatial accuracy**. Despite the data reduction, the intelligent parameterization ensures that critical spatial cues and sonic characteristics of the individual audio objects are preserved, leading to a truly immersive and realistic listening experience.\n\nFinally, the innovation offers **future-proofing for content and hardware**. Content encoded with this method will remain optimally compatible with evolving audio technologies and new playback devices, protecting long-term investments in both content creation and hardware development. These benefits collectively drive innovation and enhance user experience across all immersive media platforms.\n\n*Keywords: audio efficiency, universal compatibility, spatial accuracy, future-proof audio, bandwidth reduction, immersive experience benefits*","question":"What are the key benefits of Efficient Coding of Audio Scenes Comprising Audio Objects?"},{"answer":"The \"Efficient Coding of Audio Scenes Comprising Audio Objects\" patent distinguishes itself from prior art through a few critical innovations:\n\nMost significantly, it introduces **loudspeaker-agnostic downmixing**. Unlike traditional channel-based audio (e.g., 5.1 surround), which pre-mixes sound for a fixed speaker configuration, this invention calculates downmix signals based on criteria independent of any specific loudspeaker setup. This means the encoded audio is universally adaptable, whereas prior channel-based systems are rigid and require re-mixing or compromise for different playback environments.\n\nFurthermore, while some prior object-based audio systems transmit individual objects, this patent's method of combining 'N' objects into 'M' downmix signals (where M ≤ N) *and* generating specific reconstruction parameters offers a **superior balance of efficiency and spatial fidelity**. It avoids the high data rates of transmitting all individual objects while retaining the flexibility to precisely reconstruct the spatial scene, a level of intelligent compression and adaptive rendering not as robustly achieved by earlier object-based or scene-based (e.g., Ambisonics) approaches.\n\nIn essence, this technology provides a more efficient and flexible solution that truly future-proofs immersive audio content against evolving hardware, a key advantage over its predecessors.\n\n*Keywords: prior art comparison, loudspeaker-agnostic, channel-based audio, object-based audio differentiation, audio compression innovation, spatial audio technologies*","question":"How is Efficient Coding of Audio Scenes Comprising Audio Objects different from prior art?"},{"answer":"The \"Efficient Coding of Audio Scenes Comprising Audio Objects\" patent is poised to have a transformative impact across a wide array of industries that rely on high-quality, efficient audio delivery:\n\n**Digital Entertainment & Media**: This includes streaming services (video, music, gaming), where reduced bandwidth and enhanced immersive experiences will be critical for subscriber acquisition and retention. Film and television production will benefit from simplified workflows for delivering spatial audio across diverse platforms.\n\n**Virtual Reality (VR) & Augmented Reality (AR)**: These sectors heavily depend on believable, dynamic audio for immersion. The patent's efficiency and adaptability are foundational for creating realistic and interactive soundscapes in XR environments, where audio must adapt to user movement and environmental changes.\n\n**Gaming**: Game developers can create richer, more dynamic sound worlds without the constraints of excessive data or rigid channel formats, enhancing player engagement and competitive advantage.\n\n**Consumer Electronics**: Manufacturers of smart TVs, soundbars, headphones, and home theater systems can integrate this technology to offer superior, adaptive audio products that dynamically optimize sound for any user environment, driving product innovation and sales. It will also impact **Automotive** infotainment systems, enabling personalized sound zones.\n\nIn essence, any industry where immersive, high-quality audio is crucial for user experience and efficient delivery is a potential beneficiary of this groundbreaking innovation.\n\n*Keywords: industry impact, immersive media, VR/AR, gaming industry, streaming services, consumer electronics, audio technology applications, digital entertainment*","question":"What industries will Efficient Coding of Audio Scenes Comprising Audio Objects impact?"},{"answer":"The patent \"Efficient Coding of Audio Scenes Comprising Audio Objects\" (US-9852735) has specific dates associated with its lifecycle:\n\n**Filing Date**: The patent application was filed on **2014-05-23**. This date marks when the inventors submitted their application to the patent office, initiating the examination process. The filing date is significant as it often determines the 'priority date' for the invention, which can be crucial in cases of patent disputes or determining novelty.\n\n**Publication Date**: The patent was published on **2017-12-26**. This is the date when the patent document became publicly available, providing detailed information about the invention, its claims, and specifications. The publication date typically signifies the granting of the patent, making the invention's details accessible to the public and potential licensees or competitors.\n\nThese dates highlight the timeline from the initial conceptualization and formal application to the public disclosure and legal protection of this innovative audio coding technology.\n\n*Keywords: patent filing date, patent publication date, US-9852735 dates, intellectual property timeline, patent lifecycle, audio technology patenting*","question":"When was Efficient Coding of Audio Scenes Comprising Audio Objects filed/granted?"},{"answer":"The commercial applications of the \"Efficient Coding of Audio Scenes Comprising Audio Objects\" patent are extensive, spanning numerous sectors driven by digital media and immersive experiences:\n\n**Streaming Platforms**: Video and music streaming services can leverage this technology to deliver premium immersive audio tiers with significantly reduced bandwidth consumption, leading to lower operational costs and enhanced user experiences. This can be a key differentiator in a competitive market.\n\n**Virtual and Augmented Reality**: It's crucial for VR/AR content creation and delivery, enabling realistic, dynamic, and interactive soundscapes that adapt seamlessly to user movement and environmental changes, boosting immersion and engagement in virtual worlds.\n\n**Gaming Consoles and PC Gaming**: Game developers can implement this for highly dynamic and realistic in-game audio, enhancing player immersion without increasing game file sizes or network latency excessively.\n\n**Home Entertainment Systems**: Manufacturers of smart TVs, soundbars, and A/V receivers can integrate this decoding technology to provide universal compatibility and optimal spatial audio rendering for any content, regardless of the user's specific speaker setup.\n\n**Professional Audio Tools**: Digital Audio Workstations (DAWs) and audio middleware can incorporate the encoding capabilities, empowering sound designers to create object-based audio content that is efficient and universally adaptable. This patent facilitates a new era of scalable and high-quality audio products and services.\n\n*Keywords: commercial applications, immersive audio market, streaming audio solutions, VR/AR commercial, gaming audio, consumer electronics audio, business models, patent monetization*","question":"What are the commercial applications of Efficient Coding of Audio Scenes Comprising Audio Objects?"},{"answer":"The \"Efficient Coding of Audio Scenes Comprising Audio Objects\" patent lays a robust foundation for numerous future developments in audio technology. We can anticipate several key areas of evolution building upon this innovation:\n\n**Integration into Industry Standards**: The inherent efficiency and adaptability of this approach make it a prime candidate for integration into next-generation audio coding standards (e.g., future MPEG or ATSC specifications). This would ensure widespread adoption and interoperability across devices and platforms.\n\n**AI and Machine Learning Optimization**: Future iterations could leverage AI and machine learning to further optimize the downmixing process and parameter extraction. AI could learn to identify perceptually optimal combinations of audio objects and generate even more compact, intelligent parameters, pushing the boundaries of compression without sacrificing quality.\n\n**Dynamic Adaptive Streaming**: The technology could be integrated with advanced adaptive bitrate streaming protocols, allowing the system to dynamically adjust the number of downmix signals (M) or the level of detail in the parameters based on real-time network conditions, ensuring a continuous, high-quality immersive experience even with fluctuating bandwidth.\n\n**Personalized Audio Experiences**: Beyond adapting to speaker configurations, future developments might include personalization based on individual hearing profiles, room acoustics analysis, or even biometric feedback, allowing the system to dynamically tailor the soundscape for each listener's unique needs and preferences. This will pave the way for an even more deeply immersive and personalized audio future.\n\n*Keywords: future audio technology, AI in audio, machine learning audio, adaptive streaming, personalized audio, audio standards, immersive audio development, patent future*","question":"What are the future developments expected for Efficient Coding of Audio Scenes Comprising Audio Objects?"}],"topics":["efficient audio coding","object-based audio","immersive sound","spatial audio","audio scene coding","quest","delivering","increasingly"],"tech_cluster":null},"seo":{"title":"Efficient Coding of Audio Scenes Comprising Audio Objects - Patent US-9852735","description":"Discover the groundbreaking Efficient Coding of Audio Scenes Comprising Audio Objects patent. Learn how it revolutionizes object-based audio efficiency and adaptive spatial sound for VR, AR, and streaming.","keywords":["efficient audio coding","object-based audio","immersive sound","spatial audio","audio scene coding","audio compression","VR audio","AR audio","loudspeaker-agnostic audio","patent US-9852735","audio technology","digital audio processing","media streaming efficiency"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852735","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9852735","citation_suggestion":"Patentable. \"Efficient coding of audio scenes comprising audio objects\" (US-9852735). https://patentable.app/patents/US-9852735","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852735","json":"https://patentable.app/api/llm-context/US-9852735","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T13:15:50.303Z"}