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 from Andes Technology is a feature-rich processor core built on a 32-bit, 5-stage pipeline architecture. It supports the DSP/SIMD P-extension, offering enhanced signal processing and computational capabilities, making it ideal for media processing, IoT applications, and other compute-intensive tasks. This core balances high throughput with power efficiency, leveraging a well-optimized pipeline to ensure reduced processing delays and improved execution times. Its compatibility with the RISC-V instruction set allows it to integrate into a variety of customizable systems.
TimbreAI T3 is purpose-built to deliver ultra-low-power AI for audio processing, providing critical noise reduction capabilities especially in power-constrained devices such as headsets. With energy needs as low as 300 microwatts, it offers a specialized solution for enhancing audio experiences without compromising battery life. This AI interface engine supports up to 3.2 GOPS performance without requiring external memory, thereby optimizing power efficiency and reducing silicon area. Its packet-based architecture leverages Expedera's expertise in low-power design to maintain audio clarity while reducing the chip's size and power consumption. TimbreAI T3 is readily deployable across a wide array of devices, with support for popular audio processing neural networks and frameworks like TensorFlow and ONNX. This unit's seamless integration and sustained field performance make it a preferred choice for companies aiming to enhance the audio features of their wearable tech and other portable devices.
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.
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 Mixed-Signal CODEC offered by Archband Labs stands out as a versatile solution integrating both analog and digital functionalities. This CODEC is designed to meet the demands of various audio and voice processing applications, ensuring high fidelity and low power consumption. Equipped with robust conversion capabilities, it's suitable for a range of environments from wearable tech to automotive systems, ensuring clear and precise sound reproduction. The CODEC forms a crucial part of devices like smart home appliances and AR/VR gadgets, where audio quality is paramount.
The eSi-Floating Point component provides robust floating point capabilities to eSi-RISC embedded processor cores. This feature is crucial for applications requiring high precision and complex arithmetic processing, such as digital signal processing and scientific computations. The component supports both single and double-precision floating point operations, adhering to the IEEE-754 standard. Designed for efficiency, eSi-Floating Point optimizes resource use while maximizing computational performance, making it suitable for resource-constrained environments without sacrificing precision. This component's architecture enables significant performance improvements in data processing tasks, allowing for enhanced data throughput and reduced computational time. eSi-Floating Point integrates seamlessly with the eSi-RISC architecture, providing a unified system solution that elevates processing capabilities without extensive redesigns. Its use in applications demanding precision calculation and high-speed processing emphasizes its value in fields such as audio processing, high-accuracy sensor hubs, and control systems.
Opus Encoder/Decoder is a high-performance audio codec designed for efficient and flexible sound processing. Known for its cross-platform compatibility, the Opus codec offers exceptional compression rates without sacrificing audio quality. It supports a wide range of audio frequencies and bitrates, rendering it versatile for applications ranging from internet telephony to streaming and audio archiving. This encoder/decoder ensures minimal latency, critical for seamless audio streaming, and adapts dynamically to varying network conditions to maintain optimal sound clarity. The Opus technology is pivotal for modern high-quality audio demands due to its adaptability and superior performance metrics.
ZoomVoice Software is a robust solution for managing audio in complex environments, specifically addressing challenges such as ambient noise and voice clarity. Employing advanced noise suppression technologies, it delivers crystal-clear sound quality, making it ideal for communication devices and media systems. The software enhances microphone input, ensuring that voice commands and communications are audible and uninterrupted by environmental noise. Thanks to its cutting-edge sound processing algorithms, the solution is highly effective in both open and closed acoustic settings, proving crucial in automotive systems and consumer electronics that rely heavily on accurate audio interpretation.
The iniDSP is a versatile 16-bit fixed-point digital signal processor core crafted for system-on-chip applications. Emphasizing adaptability and performance, this DSP is suitable for power-sensitive applications such as hearing aids to more demanding processing tasks in audio compression and signal conditioning. It benefits from a 100% technology-independent design, aligning it well with both FPGA and ASIC environments.<br/><br/>The core is based on the architecture of the CD2450A from Clarkspur Inc., ensuring a high degree of reusability and performance optimization. It features a 16x16 signed/unsigned multiplier with a 40-bit accumulator, tailoring it for efficient algorithm implementation while minimizing power consumption.<br/><br/>Supporting a comprehensive development ecosystem, the iniDSP provides support for assembly, linking, and debugging, enabling efficient development and deployment of DSP applications. Its robust design makes it a compelling alternative to off-chip DSPs for embedded systems, enhancing the overall system efficiency and reducing latency.
The SMVsubscriber: IEC 61850 SMV Frame Processing module is engineered to facilitate the processing of Sampled Measured Values (SMVs) within IEC 61850 compliant networks. Critical in substation automation environments, this module ensures real-time data handling and processing for precise monitoring and control. Adhering to the IEC 61850 standards, the SMVsubscriber efficiently manages electricity distribution data, which is vital to maintaining grid stability and performance. It offers real-time frame processing capabilities, ensuring robust and accurate data handling within automated systems. The integration of the SMVsubscriber into power networks ensures improved response times and reliability, which are essential for maintaining continuous operation and efficient power management. By implementing this solution, network operators can ensure that all components of the grid are correctly synchronized and monitored in real time.
The xcore.ai product line from XMOS represents a pioneering approach towards versatile and high-performance microcontroller solutions. Engineered to blend control, DSP, artificial intelligence, and low-latency input/output processing, the xcore.ai platform is optimized for a wide range of applications. This includes consumer electronics, industrial automation, and automotive industries where real-time data processing and robust computational power are crucial. With its advanced processing capabilities, xcore.ai facilitates the development of smart products by integrating AI functions directly into devices, making them more responsive and capable. This line of microcontrollers supports audio signal processing and voice control technologies, which are essential for modern smart home and entertainment applications. xcore.ai is uniquely designed to handle multiple data streams with precision while maintaining the low power consumption needed for sustainable product development. The product leverages XMOS's commitment to providing cycle-accurate software programmability, which allows developers to quickly adapt and customize hardware functions to meet specific needs. By fostering an environment where software and hardware seamlessly interact, xcore.ai not only supports rapid prototyping and deployment but also ensures long-term durability in demanding environments.
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 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 SCR5 is engineered for Linux-capable applications, offering a robust 32/64-bit processor with a comprehensive suite of RISC-V extensions. Its architecture includes a 9-stage pipeline, a floating-point unit, and sophisticated cache management, supporting real-time and dynamic environments. Utilized predominantly in automation, sensor hubs, and IoT, this core is built for energy efficiency while retaining substantial data processing power, facilitating quick integration into diverse technical ecosystems.
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.
The AON1100 is a groundbreaking edge AI chip that stands out in the realm of power efficiency and performance. Designed for voice activation and sensor fusion, it fuses AONVoice and AONSens technologies in one compact marvel. This chip significantly enhances the capabilities of smart devices, catering to applications in both the automotive and industrial IoT sectors. With a focus on energy efficiency, the AON1100 boasts a super low-power consumption model, ensuring devices remain active yet highly efficient. This chip integrates multiple processing units, including Neuromorphic Processing Units (NPU), RISC-V, and Hardware DSP, to achieve superior computational prowess. Its advanced sensor fusion and voice detection capabilities present a shift in automotive applications, promoting enhanced safety and operational efficiency. By offering unrivaled accuracy even in noisy environments, the AON1100 raises the bar for edge AI solutions across various markets.
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.
Yitian 710 Processor marks a significant milestone as T-Head's flagship offering. Designed internally by T-Head, this processor features a cutting-edge architecture, integrating high-performance capabilities with broad bandwidth support. It is compatible with the Armv9 architecture, showcasing T-Head's commitment to forward-thinking technology solutions. This processor utilizes a 2.5D packaging framework, which includes two dies summing up to over 600 billion transistors, significantly enhancing computational throughput. It comprises 128 high-efficiency Armv9 CPU cores, each equipped with substantial caches, facilitating rapid data processing and storage. Specifically, each CPU core is accompanied by 64KB of instruction cache, 64KB of data cache, and a larger 1MB secondary cache, while the chip itself features 128MB of system-level cache. Memory support for the Yitian 710 is robust, featuring 8-channel DDR5 support with peak bandwidth reaching 281GB/s. Its I/O system incorporates 96 PCIe 5.0 channels, with a bidirectional theoretical bandwidth of up to 768GB/s, catering to high-throughput applications in cloud computing and data-intensive environments.
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.
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.
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.
AON1010 is crafted to provide exceptional AI processing power within a compact footprint, suitable for a wide array of embedded applications. The seamless integration into devices highlights its capacity for elevating performance without sacrificing space, power, or efficiency. This product leverages the latest AI technologies, ensuring efficient sound and voice recognition capabilities. It's especially invaluable in wearable technology and IoT devices, offering users a new realm of interactivity and convenience. The AON1010's advanced features also cater to industrial applications, boosting productivity and operational efficiency through its intelligent processing capabilities. This makes it a critical component for manufacturers aiming to implement AI solutions within compact devices, allowing seamless, automated operations.
The ECC Verification Core by Digital Core Design leverages advanced elliptic curve cryptography to deliver a high-performance verification solution. This IP core is optimized for generating and verifying ECDSA signatures, making it a cornerstone of secure digital communications. It supports an array of elliptic curves, including those specified by NIST, Koblitz, and Brainpool, ensuring compatibility across various security frameworks. Incorporating point multiplication, the ECC Verification Core achieves a superior balance of size and performance efficiency, providing an optimal solution for applications that require rigorous cryptographic handling. The core's design consolidates performance with the assurance of unbreakable security, adeptly managing the complexities of elliptic curve operations. Ideal for diverse applications including financial and governmental systems, this core enhances the security architecture by ensuring the integrity and authenticity of digital communications. It plays a pivotal role in modern cryptographic infrastructures, facilitating confidential communications and fortifying existing security protocols with state-of-the-art ECDSA capabilities.
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.
The AON1020 solution is designed to redefine the edge AI landscape by offering unparalleled performance and efficiency. Its implementation in various devices reflects its ability to facilitate sophisticated sound and sensor fusion, addressing complex operating environments with ease. Known for its low power consumption and high processing power, the AON1020 supports applications that require constant connectivity and intelligence, such as smart home systems and industrial monitoring devices. This balance between power and performance maximizes functionality while extending device lifetimes. Manufacturers benefit immensely from its scalability, allowing integration into both existing frameworks and new product designs, making the AON1020 a pivotal choice for advancing modern automated systems. This adaptability highlights its role in driving the next generation of AI-infused technologies.
Optimized for low-power AI processing, the AON1120 surpasses its predecessors by offering enhanced computational power within compact real estate. Aimed at expanding the capabilities of consumer electronics, it provides a seamless experience for applications requiring advanced sensor fusion and intelligence. The AON1120's architecture supports streamlined processing for wearable devices and IoT applications, ensuring minimal power consumption while delivering exceptional performance. This IP enables the development of smart solutions that are more responsive and interactive, enhancing user engagement. This product also benefits industrial environments where efficiency is paramount. By facilitating real-time data processing and analysis, the AON1120 contributes to improved system reliability and operational productivity, making it an ideal choice for manufacturers seeking advanced embedded AI solutions.
The AON1000 is a transformative edge AI solution that brings state-of-the-art voice and sound detection capabilities to various devices. It caters to the growing demand for energy-efficient, always-on AI applications, including wearables and smart home devices. This product incorporates advanced AI technologies to deliver robust performance in environments where power consumption is critical. Equipped with AONDevices' proprietary technology, the AON1000 excels in applications requiring precise voice activation and command recognition. Its use of minimal power ensures long-lasting operational efficiency while maintaining high responsiveness, making it suitable for integration into a variety of consumer electronics. Automotive applications benefit from its capabilities as well, where the AON1000 supports advanced sensor fusion and sound detection systems. This adaptability across different fields underscores the AON1000's versatility, as manufacturers seek solutions that enhance functionality while conserving energy.
The SMVSubscriberBoard is crafted to perform precise and efficient management of Sampled Measured Values (SMVs) in power networks adhering to the IEC 61850 standard. This board is integral to substation automation, ensuring that critical power system data is monitored and processed accurately. Designed to facilitate seamless data interaction across complex power networks, the SMVSubscriberBoard enhances real-time data processing capabilities, enabling smoother transmission of information. Its compliance with IEC 61850 ensures interoperability across various system components, making it a vital component in modern substation implementations. Through its robust design, the SMVSubscriberBoard supports improved data integrity and response time, crucial for sustaining power grid operations' reliability and efficiency. Its integration into power systems represents a step towards optimizing grid management and ensuring consistent and reliable energy distribution.
Designed for high-performance AI applications, the Ceva-NeuPro-M offers substantial computational power and versatility. It is tailored for processing intensive AI tasks and is especially suited for application in edge devices where energy efficiency and speed are critical. With support for numerous AI frameworks, the NeuPro-M ensures seamless integration into a wide range of intelligent systems, from autonomous vehicles to smart industrial applications.
CSRCompiler addresses hardware/software interface design challenges by facilitating register design and generation across SoC projects. It utilizes the CSRSpec language to compile design data into executable hardware descriptions, bridging functional requirements with precise implementation. The system supports extensive input formats, including SystemRDL and IP-XACT, ensuring interoperability and reducing reliance on complex scripts or manual interventions. With advanced error-checking capabilities, CSRCompiler identifies and resolves potential issues early in the design phase, ensuring a high-quality output. CSRCompiler is advantageous for its comprehensive support in design ecosystems, capable of producing RTL, verification models, and firmware documentation from a unified source. Its efficiency in managing design data makes it a critical tool for enhancing SoC timelines and minimizing design risks across technology-driven industries.