All IPs > Processor > Audio Processor
The Audio Processor category in our catalog of semiconductor IPs represents cutting-edge technology for enhancing and managing audio signals in various applications. Audio processors play a crucial role in manipulating sound signals, ensuring high fidelity and enriching audio experiences across a range of industries. These IPs are integral to the design of products that require precise audio control and enhanced sound quality.
Audio processor semiconductor IPs are commonly used in consumer electronics, including smart speakers, home theater systems, and high-end audio equipment. They enable advanced functionalities such as noise reduction, surround sound processing, and adaptive sound optimization, ensuring users enjoy crystal-clear audio. With the increasing demand for immersive audio experiences, these processors offer manufacturers the ability to deliver products that meet consumer expectations for quality and performance.
In addition to consumer electronics, audio processors are also widely used in the automotive industry. With the rise of in-car entertainment systems, these IPs allow manufacturers to integrate premium audio features into vehicles, providing a richer listening experience for drivers and passengers. From noise cancellation technologies to high-fidelity audio reproduction, audio processors are key in enhancing the audio environment inside modern vehicles.
Beyond these applications, audio processors are essential in mobile devices where space and power efficiency are crucial. Implementing semiconductor IPs for audio processing in smartphones and tablets helps manage audio playback and recording, offering features such as voice enhancement and audio streaming. As devices become more interconnected and audio-centric, the demand for advanced audio processor IPs is set to continue growing, offering endless possibilities for innovation in sound technology.
The D25F processor is specifically built for high-frequency operations, offering low gate count as well as extreme power efficiency. Known for its robust design, it suits applications where performance and energy consumption are critical considerations, fitting industries that demand reliability and proficiency in their operations.
The NaviSoC by ChipCraft is a sophisticated GNSS receiver system integrated with an application processor on a single piece of silicon. Known for its compact design, the NaviSoC provides exceptional performance in terms of precision, reliability, and security, complemented with low power consumption. This well-rounded GNSS solution is customizable to meet diverse application needs, making it suitable for IoT, Lane-level Navigation, UAV, and more. Designed to handle a wide range of GNSS applications, the NaviSoC is well-suited for scenarios that demand high accuracy and efficiency. Its architecture supports applications such as asset tracking, smart agriculture, and time synchronization while maintaining stringent security protocols. The flexibility in its design allows for adaptation and scalability depending on specific user requirements. The NaviSoC continuously aims to advance GNSS technology by delivering a holistic integration of processing capabilities. It stands as a testament to ChipCraft's innovative strides in creating dynamic, high-performance semiconductor solutions that excel in global positioning and navigation. The module's efficiency and adaptability offer a robust foundation for future GNSS system developments.
TimbreAI T3 is engineered to serve as an ultra-low-power AI inference engine optimized for audio processing tasks, such as noise reduction in devices like wireless headsets. The core can execute 3.2 billion operations per second while consuming an exceptionally low power of 300 µW, making it an ideal choice for portable devices where battery efficiency is paramount. This core utilizes Expedera’s packet-based architecture to achieve significant power efficiency and performance within the stringent power and silicon area constraints typical of consumer audio devices. The T3's design precludes the need for external memory, further reducing system power and chip footprint while allowing for quick deployments across various platforms. Pre-configured to support commonly used audio neural networks, TimbreAI T3 ensures seamless integration into existing product architectures without necessitating hardware alterations or compromising model accuracy. Its user-friendly software stack further simplifies the deployment process, providing essential tools needed for successful AI integration in mass-market audio devices.
The Automotive AI Inference SoC by Cortus is a cutting-edge chip designed to revolutionize image processing and artificial intelligence applications in advanced driver-assistance systems (ADAS). Leveraging RISC-V expertise, this SoC is engineered for low power and high performance, particularly suited to the rigorous demands of autonomous driving and smart city infrastructures. Built to support Level 2 to Level 4 autonomous driving standards, this AI Inference SoC features powerful processing capabilities, enabling complex image processing algorithms akin to those used in advanced visual recognition tasks. Designed for mid to high-end automotive markets, it offers adaptability and precision, key to enhancing the safety and efficiency of driver support systems. The chip's architecture allows it to handle a tremendous amount of data throughput, crucial for real-time decision-making required in dynamic automotive environments. With its advanced processing efficiency and low power consumption, the Automotive AI Inference SoC stands as a pivotal component in the evolution of intelligent transportation systems.
The xcore.ai platform stands as an economical and high-performance solution for intelligent IoT applications. Designed with a unique multi-threaded micro-architecture, it supports applications requiring deterministic performance with low latency. The architecture features 16 logical cores, split between two multi-threaded processor tiles, which are equipped with 512 kB of SRAM and a vector unit for both integer and floating-point computations. This platform excels in enabling high-speed interprocessor communications, allowing tight integration among processors and across multiple xcore.ai SoCs. The xcore.ai offers scalable performance, adapting the tile clock frequency to meet specific application requirements, which optimizes power consumption. Its ability to handle DSP, AI/ML, and I/O processing within a singular development environment makes it a versatile choice for creating smart, connected products. The adaptability of the xcore.ai extends to various market applications such as voice and audio processing. It supports embedded PHYs for MIPI, USB, and LPDDR control processing, and utilizes FreeRTOS across multiple threads for robust multi-threading performance. On an AI and ML front, the platform includes a 256-bit vector processing unit that supports 8-bit to 32-bit operations, delivering exceptional AI performance with up to 51.2 GMACC/s. All these features are packaged within a development environment that simplifies the integration of multiple application-specific components. This makes xcore.ai an essential platform for developers aiming to leverage intelligent IoT solutions that scale with application needs.
The Mixed-Signal CODEC offered by Archband Labs is engineered to enhance the performance of audio and voice devices, handling conversions between analog and digital signals efficiently. Designed to cater to various digital audio interfaces such as PWM, PDM, PCM conversions, I2S, and TDM, it ensures seamless integration into complex audio systems. Well-suited for low-power and high-performance applications, this CODEC is frequently deployed in audio systems across consumer electronics, automotive, and edge computing devices. Its robust design ensures reliable operation within wearables, smart home devices, and advanced home entertainment systems, handling pressing demands for clarity and efficiency in audio signal processing. Engineers benefit from its extensive interfacing capabilities, supporting a spectrum of audio inputs and outputs. The CODEC's compact architecture ensures ease of integration, allowing manufacturers to develop innovative and enhanced audio platforms that meet diverse market needs.
The iniDSP is a 16-bit digital signal processor core optimized for high-performance computational tasks across diverse applications. It boasts a dynamic instruction set, capable of executing complex algorithms efficiently, making it ideal for real-time data processing in telecommunications and multimedia systems. Designed for seamless integration, the iniDSP supports a variety of interface options and is compatible with existing standard IP cores, facilitating easy adaptation into new or existing systems. Inicore's structured design methodology ensures the processor is technology-independent, making it suitable for both FPGA and ASIC implementations. The core's modular construction allows customization to meet specific application needs, enhancing its functionality for specialized uses. Its high-performance architecture is also balanced with power-efficient operations, making it an ideal choice for devices where energy consumption is a critical consideration. Overall, iniDSP embodies a potent mix of flexibility and efficiency for DSP applications.
The AON1020 offers a sophisticated blend of edge AI processing capabilities designed for environments demanding continuous interactions and low power consumption. Specializing in voice and sound applications, this processor ensures that devices such as smart speakers and wearable technologies can run smoothly and efficiently, providing excellent functionality without draining resources. Engineered to deliver outstanding accuracy, the AON1020 focuses on maintaining exceptional performance in acoustically complex settings, surpassing traditional capabilities with its innovative approach to data processing. Its capacity to execute real-time event and scene detection, alongside speaker identification, highlights its versatility in enhancing user experience across multiple applications. By integrating AI models that are fine-tuned for power efficiency, the AON1020 stands out as a viable solution for developers aiming to incorporate cutting-edge AI technologies into small, resource-constrained devices. Its prowess in managing battery life while sustaining operational readiness makes it uniquely positioned to revolutionize the interactions between users and their smart devices.
The NeuroVoice AI Chip offers a revolutionary solution for voice processing, harnessing neuromorphic frontend technology to provide ultra-low power consumption and superior noise resilience. It is designed for hearables and smart voice-controlled devices, ensuring efficient operation even in high-noise environments. This chip processes audio data on-device, eliminating the need for continuous cloud connectivity while enhancing user privacy. By integrating NASP technology, the NeuroVoice chip excels in voice activity detection, smart voice control, and voice extraction, making it ideal for applications in earbuds, voice access systems, and smart home devices. Its ability to only transmit or recognize human voice while muting background sounds significantly improves command clarity and user interactions, especially in environments prone to irregular noises. The chip is designed to adapt to various audio inputs, providing capabilities for clear communication, enhancing speech intelligibility, and offering features like voice passthrough in hearing aids. With power consumption kept below 150µW, it allows for prolonged device usage and efficient battery management, making it an ideal component for modern voice-activated devices and hearing assistance technologies.
The Yitian 710 Processor, a hallmark product of T-Head, is a high-performance Arm-based server chip. Developed by T-Head, it is designed with advanced architecture, featuring 128 Armv9 CPU cores and 2.75 GHz of frequency. The processor is engineered with cutting-edge 2.5D packaging, integrating 60 billion transistors. This makes it capable of exceptional computational tasks, catering to demands in AI reasoning, big data, and cloud computing applications.\n\nBeyond its core processing prowess, the Yitian 710 boasts a comprehensive I/O subsystem that includes 96 PCIe 5.0 lanes for high-speed data transfer, enhancing its utility for data-intensive applications. It supports up to eight DDR5 memory channels, delivering a bandwidth peak of 281 GB/s, thus ensuring fast and reliable performance for modern data centers.\n\nThis processor stands out for its ability to handle high throughput workloads efficiently, leading to superior performance in distributed computing environments. It supports scalable cloud service applications, making it ideal for complex computations and large datasets, which are fundamental to many modern enterprises.
MajEQ is a versatile equalization tool engineered to optimize audio outputs by precisely matching frequency response target curves. It can automatically or semi-automatically adjust to achieve the desired sound, whether for correcting loudspeaker outputs or enhancing audio playback quality across various devices. This tool is highly beneficial in both fixed installations, like venue sound systems, and dynamic settings where responsive environmental adjustments are necessary. Users can tailor sound responses in real-time, ensuring that the audio output remains balanced and high-fidelity, regardless of external factors. MajEQ is a valuable asset for audio manufacturers looking to add a layer of sophistication to their products. By improving sound quality and adaptability, this tool not only meets but often exceeds user expectations for audio performance, making it integral for high-end audio solutions and consumer electronics alike.
The RV32EC_P2 Processor Core by IQonIC Works is engineered for small, low-power embedded applications, emphasizing dependable performance with its two-stage pipeline architecture. Compliant with the RISC-V RV32E base instruction set and User-Level ISA V2.2, it incorporates RVC compressed instructions for reduced code size. Optional 'M' standard extensions support integer multiplication and division, enhancing computational capabilities. This processor core is adaptable to both ASIC and FPGA design flows. It offers a simple machine-mode architecture with memory direct addressing, supporting 20 interrupts along with software and timer interrupts. Its clock-gating feature aids in reducing power consumption during idle states. Additionally, it supports tightly-coupled memory interfaces compatible with ASIC ROM and SRAM or FPGA block memories. The RV32EC_P2 core also integrates AHB-Lite or APB interfaces for expanded memory and I/O functionalities. Developers can utilize a diverse range of tools, including the GNU toolchain and the Eclipse IDE, for firmware development. This core is optimized for rapid implementation in trust-critical, embedded environments.
The TSP1 Neural Network Accelerator by Applied Brain Research is a standout in the realm of AI chips, epitomizing advanced AI capabilities with exceptional efficiency. It handles complex workloads with ultra-low power consumption, making it an optimal choice for battery-powered devices. Key applications include enabling natural voice interfaces and bio-signal classification, pushing performance boundaries while ensuring low energy use. This chip is built on cutting-edge state-space neural network models, specifically the groundbreaking Legendre Memory Unit (LMU), which sets new standards in time series data processing. It integrates neural network processing elements for powerful signal pattern recognition, facilitating lower power, cost, and latency across applications. The TSP1 is tailored for the edge AI hardware landscape, suitable for AR/VR, smart home environments, and more. Technologically advanced, the TSP1 can independently process a wide array of sensor signal applications, maintaining high efficiency in real-time processing. Its robust architecture supports secure speech to text recognition and other sensory AI functions with low latency, reinforcing its capability as a leader in AI chip design. Offering a rich support matrix for audio inputs and communication interfaces, the TSP1 is geared to meet the rising demands of next-gen AI applications, delivering unparalleled data efficiency and scalability.
ARDSoC is tailored for ARM-based SoCs and enables users to conserve ARM processor cycles by bypassing traditional Linux network stacks. It adopts DPDK technology for embedded systems, specifically designed to enhance the MPSoC PS/PL architecture by providing an embedded solution that reduces power consumption and latency while maintaining robust performance. ARDSoC allows for the execution of existing DPDK programs with minimal adjustment, thus reducing the overall cost of ownership and operational latency. Its features include sub-microsecond latency and zero-copy DPDK coherent memory structures, ensuring high throughput and minimal data loss. Ideal for embedded protocol bridges and cloud-edge devices, ARDSoC optimizes packet processing for various applications.
The SCR5 is an entry-level 32/64-bit Linux-capable RISC-V processor core. With a 9-stage pipeline, it features both single and double precision floating-point units and supports an array of RISC-V extensions. SCR5 is well-suited for applications ranging from industrial automation to IoT and automotive industries, providing multicore support and efficient interrupt processing capability.
HFFx Auto is a cutting-edge high-frequency restoration technology that addresses audio quality challenges often present in modern multimedia. This effect compensates for high-frequency losses resulting from lossy codecs, data throttling, and older legacy codecs used in streaming, broadcast, and digital TV content. It is particularly effective on material that was originally bandwidth-limited, such as recordings with low sampling rates. The functionality of HFFx Auto extends beyond simple restoration. It dynamically adjusts to varying channel bandwidths, ensuring consistent high-quality audio output regardless of the transmission medium. This adaptability also allows for up-conversion to higher sampling rates, providing a more open and natural sound. For manufacturers and service providers, HFFx Auto represents a solution to the perennial problem of audio degradation in compressed digital media, offering them a means to significantly enhance user experience by restoring clarity and depth to audio tracks.
The ECC Verification Core delivers high-performance verification of elliptic curve cryptographic operations, ensuring superior data protection. Central to modern public key infrastructures, this core supports advanced elliptic curves and is equipped for efficient elliptic curve digital signature operations. Incorporating this core into security systems grants stakeholders the advantage of reliable data verification processes across sectors like telecommunications, military, and internet services. This core facilitates resilient signature verification, essential for applications that handle sensitive and private communications. Through detailed point multiplication processes and swift data throughput, the ECC Verification Core maintains operational efficiency while upholding rigorous security protocols. It is a strategic asset for organizations looking to elevate their security postures, providing robust, scalable solutions to authenticate data and digital identities.
Edge AI Neural Network Fabric 2.0 by Uniquify is a next-generation architectural framework tailored for implementing contemporary neural networks. This innovative fabric supports numerous neural network variants, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Feedforward Neural Networks (FNNs), Generative Adversarial Networks (GANs), Autoencoders (AEs), and Batch Normalization techniques. A primary focus of this advanced neural network fabric is to deliver high efficiency in terms of area and power consumption, making it a cost-effective solution for edge AI applications. With the ability to adapt to various algorithmic demands, it enhances not just performance but also scalability for developers looking to harness the power of AI at the edge. The Edge AI Fabric 2.0 is designed to integrate seamlessly into diverse systems while ensuring minimal power draw and footprint. Its architectural advantages make it suitable for deployment in applications where compact size and energy efficiency are crucial, such as in IoT devices and mobile platforms.
The SmartFx Audio Effects Suite is a comprehensive set of tools designed to elevate the audio experience on consumer devices. By integrating advanced audio processing capabilities, it delivers natural and fuller sound that includes enhanced bass and dynamic range control. Users can enjoy an easy-to-use graphical interface that allows real-time adjustments, making it a versatile solution for audio content enhancement. One of the standout features of SmartFx is its ability to adapt the audio output to different listening environments, providing consistent quality whether at home or on the go. The suite employs sophisticated algorithms to ensure the audio maintains intelligibility and clarity, even when faced with lossy codec challenges or data throttling. SmartFx is perfect for manufacturers looking to integrate premium sound capabilities into their products. By utilizing this suite, devices can offer improved audio fidelity, meeting the high expectations of modern consumers who demand rich, immersive sound experiences.
The WiseEye2 AI Solution is a transformative component in the realm of battery-operated AI applications, merging ultra-low power CMOS image technology with high-performing microcontrollers. This solution facilitates continuous operation while maintaining remarkably low power consumption, essential for maximized battery life in smart devices. Built on ARM's Cortex M55 CPU and Ethos U55 NPU, the WiseEye2 brings enhanced computational power, ensuring faster and more accurate AI inference without significant energy trade-offs. Its architecture leverages sophisticated power management techniques and security functions to deliver seamless and secure AIoT experiences. Facilitating advancements in smart home, security, and consumer electronics, WiseEye2's AI capabilities are crucial for user presence detection, facial recognition, and automated control applications. This innovation continues to support next-gen AI solutions, essential for future digital and connected environments.
The NMFx Night Mode Effect is tailored to improve the intelligibility of quiet sounds, such as speech, while suppressing loud sounds that can disrupt neighboring spaces. This mode is especially applicable in nighttime settings where maintaining a peaceful environment is crucial. It provides an enhanced audio experience by balancing the volume output without losing clarity of essential sounds. The NMFx employs sophisticated signal processing algorithms to dynamically manage audio levels, ensuring that vital sounds, like dialogue, are boosted even when the overall soundscape is hushed. It’s an ideal solution for consumer electronics like televisions and sound systems, designed to prevent disruptions in shared living spaces. This effect is a boon for users who prefer a balanced soundscape that won’t disturb others, while still allowing full engagement with the media content. Incorporating NMFx into products can significantly improve consumer satisfaction, especially in apartments or other shared living environments.
AONDenoise is an advanced noise cancellation technology designed to provide clear audio by reducing background noise with impressive efficiency. This innovative signal processing solution is tailored for environments where clarity of sound is critical, such as in speakerphones, voice recorders, and smart assistants that operate in bustling environments. Utilizing state-of-the-art AI algorithms, AONDenoise operates with less than 1ms latency, ensuring that audio is not only clear but also synchronized in real-time communication. This rapid response capability is essential for applications where immediate feedback is necessary, such as voice recognition and interactive AI systems. The technology's single-microphone setup simplifies integration into various products without demanding complex hardware configurations. AONDenoise stands out for its ability to deliver pristine audio quality while maintaining low power consumption, making it adaptable for use in battery-dependent devices. Its incorporation into consumer electronics promises an elevated user experience, transforming how users interact with their devices by minimizing auditory distractions and offering crystal-clear sound even in noisy settings.
The AON1010 is a sophisticated low-power AI processor, tailored for always-on applications where energy efficiency is paramount. It delivers high performance in voice and sound processing, enabling seamless interaction with devices while preserving battery life. Designed for personal devices such as earbuds and smart home equipment, the AON1010 brings advanced AI capabilities to everyday technology, ensuring consistent performance with minimal energy draw. In environments where traditional processors might falter, the AON1010 shines with its ability to maintain high accuracy even under suboptimal conditions. This intelligent processor is engineered to operate effectively in challenging acoustic environments, making it a versatile solution for various audio applications. Its architecture is designed to handle complex tasks like voice command recognition and acoustic event detection, allowing for a wide range of potential uses in consumer electronics. What sets the AON1010 apart is its integration of AI models optimized for minimal power consumption without compromising accuracy. This makes it an ideal choice for developers looking to integrate AI functionalities into devices that require constant readiness and quick response times, ensuring users benefit from immediate and precise device interaction.
CSRCompiler is a critical component in creating robust hardware/software interfaces, serving as the foundation for innovative design methodologies. By utilizing a unified specification format, the CSRCompiler platform creates a streamline for designing registers that supports hardware, software, and verification across the SoC lifecycle. This approach minimizes discrepancies and ensures data consistency and accuracy across all design stages, significantly boosting the quality and efficiency of register coding processes. The CSRCompiler uses the CSRSpec language to automate the generation of RTL, verification environments, firmware, and documentation, enabling rapid adaptation to design changes. This flexibility reduces development overhead and promotes a clean, error-free import of third-party IPs or legacy data, crucial in maintaining design integrity and reducing risk in SoC projects. Offering comprehensive support for industry-standard buses and providing extensive error/syntax checking, CSRCompiler enhances productivity, allowing teams to identify and resolve issues early in the design phase. With the capacity to manage millions of registers, it stands out as a high-capacity, high-efficiency tool necessary for contemporary large-scale SoC implementations, driving innovation and ensuring seamless integration across design and operational environments.
Dillon Engineering's Floating Point Library core provides extensive IEEE 754 compliant modules optimally designed for precision and performance. By supporting a full spectrum of floating-point calculations with parametric adjustments using ParaCore Architect, each module can be tailored to specific application needs. This library is well-equipped for FPGA and ASIC deployments, controlled through compile-time parameters allowing for a balance between precision and resource allocation. Adaptable across single and double precision scenarios, the library facilitates complex implementations requiring nuanced calculations, fully supporting the integration of precise arithmetic operations while maintaining logical efficiency.
The Digital Audio IP from ALSE offers a comprehensive suite for processing audio signals within FPGA systems. Covering features like volume control, tone adjustment, automatic level control (ALC), and loudness filters, amongst others, this IP is designed to manage and enhance audio outputs effectively in diverse applications. ALSE's Digital Audio IP is structured to provide high-quality audio processing, ensuring superior sound reproduction and flexibility in integration across various FPGA platforms. It also includes InfraRed link functionalities, broadening its application in consumer electronics that require remote audio management capabilities. This IP is instrumental for projects needing advanced audio processing features in embedded systems, automotive sectors, or professional sound applications, accommodating multiple use cases from personal devices to large-scale audio equipment. ALSE's ongoing support ensures that the IP continuously adapts to evolving audio technology standards and requirements.