AONDevices Introduces Breakthrough Super Low-Power, Low-Latency, Customizable Edge AI Speech Enhancement
New Super Compact AONDenoise™ Solution Enables Customizable Noise Cancellation in Ultra-Low Power, Real-Time Processing Devices
IRVINE, Calif., June 13, 2023 -- AONDevices, a provider of super low-power, high-performance on-device AI processors and full stack solutions, today announced the launch of its groundbreaking AONDenoise™ – a compact, efficient edge AI denoising technology. Designed for applications that require minimal power and latency, AONDenoise is one of the smallest denoising algorithms available, making it an ideal AI speech enhancement for use in hearing aids, wireless earbuds, smartphones, and wearables.
Traditionally, AI speech enhancement is performed using arrays of multiple microphones, beamforming and large Digital Signal Processing (DSP) algorithms. This method, currently implemented in today’s smartphones and other devices, requires huge amounts of memory and power, which is costly. Through its state-of-the-art, AI-based denoiser, AONDevices is addressing these concerns – and leading the way forward into a new era of edge AI.
Known for its innovation in super low-power edge AI human-machine interfaces, AONDevices is expanding its focus to include innovations in human-human interfaces. With just 50K parameters, the AONDenoise solution is one of the most compact denoising algorithms on the market. It is multiple orders of magnitude smaller than traditional DSP noise reduction methods and at least an order of magnitude smaller than current AI-based denoisers. The AONDenoise solution addresses the need for customizable noise cancellation in ultra-low power, real-time processing devices, such as chips used for hearing aids. The algorithm can target a wide range of noises, such as chatter in a crowded restaurant, wind noise, dogs barking, babies crying, or keyboards clicking.
The AONDenoise solution has the potential to revolutionize various applications, including:
- Hearing Aids: Customizable noise cancellation for improved performance in different environments.
- Wireless Earbuds: Optimal audio quality in transparency mode, conversation mode, and voice calls.
- Smartphones: Clearer voice quality during calls, especially in outdoor settings.
- Podcasting: Crystal-clear audio streaming even in noisy surroundings.
Leveraging AI and deep learning neural networks, the AONDenoise solution can distinguish human speech from background noise. To maximize the efficiency of this neural network, AONDevices has developed a dedicated software tool suite. This allows both in-house and customer development to customize and train the system to handle specific noise environments or a broader range of noises.
AONDevices’ new Technical Director, Dr. Youhong Lu, commented that AONDenoise is poised to significantly enhance the next generation of wearable and mobile devices. “AONDenoise is a truly remarkable accomplishment in AI speech enhancement,” said Dr. Lu. “A small yet incredibly effective algorithm that works with just a single microphone will positively impact many lives. I have been incredibly impressed by AONDevices’ achievements and am excited for the upcoming technology revolution in which AI delivers better user experiences.” Dr. Lu recently joined the company after having previously served in high-level audio engineering roles for industry leaders including Conexant, Goodix, Plantronics, Verizon, and Microsoft.
The AONDenoise solution is now available for integration into third-party processors. For customers seeking dedicated hardware solutions, AONDevices is preparing to launch the denoiser hardware IP and the associated next-generation chip – the AON2100™ – in the coming months. For more information, contact info@aondevices.com.
About AONDevices
AONDevices is a fabless semiconductor company specializing in application-specific edge AI processors with high accuracy at ultra-low power. The company is headquartered in Irvine, California. For more information, visit www.aondevices.com
|
Related News
- DSP Group Unveils DBM10 Low-Power Edge AI/ML SoC with Dedicated Neural Network Inference Processor
- BrainChip and Socionext Provide a New Low-Power Artificial Intelligence Platform for AI Edge Applications
- LeapMind's Ultra Low-Power AI accelerator IP "Efficiera" Achieved industry-leading power efficiency of 107.8 TOPS/W
- Gidel introduces groundbreaking edge computer with NVIDIA Jetson Orin NX system-on-module and high-bandwidth camera frame grabber for real-time image acquisition compute and AI processing
- Edgecortix Announces Sakura AI Co-processor Delivering Industry Leading Low-Latency and Energy-Efficiency
Breaking News
- Thalia's AMALIA 24.2 introduces pioneering estimated parasitics feature to reduce PEX iterations by at least 30%
- TSMC plans 1.6nm process for 2026
- Qualitas Semiconductor Partners with TUV Rheinland Korea to Enhance ISO 26262 Functional Safety Management System
- M31 has successfully launched MIPI C/D PHY Combo IP on the advanced TSMC 5nm process
- Ceva multi-protocol wireless IP could simplify IoT MCU and SoC development
Most Popular
- Controversial former Arm China CEO founds RISC-V chip startup
- Siemens collaborates with TSMC on design tool certifications for the foundry's newest processes and other enablement milestones
- Credo at TSMC 2024 North America Technology Symposium
- Synopsys Accelerates Next-Level Chip Innovation on TSMC Advanced Processes
- Kalray Joins Arm Total Design, Extending Collaboration with Arm on Accelerated AI Processing
E-mail This Article | Printer-Friendly Page |