Picovoice Koala Noise Suppression Engine supports Raspberry Pi and Nvidia Jetson Nano

Picovoice Koala Noise Suppression Engine supports Raspberry Pi and Nvidia Jetson Nano


Noise suppression technology is essential for providing clear audio during communication by eliminating unwanted background noise. While several noise suppression engines are already available, Picovoice has developed its own due to several limitations in existing technology. Most notably, the current technology lacks support for three essential parameters that a reliable noise suppression engine should possess – the ability to run on the edge with minimal latency, improved speech clarity, and platform independence.

According to Picovoice, conventional digital signal processing models are small. They can run on the device with minimal latency, but may not produce the best results in terms of noise suppression. These models are limited in handling complex and diverse noise patterns. On the other hand, deep learning models can produce higher speech intelligibility, but they typically have larger model sizes and require higher power and computing resources. As a result, running such models in real-time and across multiple platforms is not feasible.

Therefore, there is a need for a noise suppression engine that can run efficiently on-device, with minimal latency, and without requiring high power or compute resources while still producing high-quality results. Koala Noise Suppression is a noise suppression engine based on deep learning technology that enables it to achieve higher speech intelligibility while maintaining efficient performance.

Picovoice Noise Suppression Engine

The Picovoice Koala Noise Suppression technology has the capability to process voice data on the device itself, ensuring privacy and security. It can also run seamlessly across various platforms, including desktops, mobile devices, web, and embedded systems. The software model is designed to be deployed easily and quickly, with an intuitive software development kit that simplifies the integration process. This means that developers can quickly and easily implement noise suppression technology into their applications without requiring extensive knowledge or expertise in machine learning or deep learning.

Koala, an on-device noise suppression engine, recognizes the importance of supporting Raspberry Pi to enable its technology to be utilized in a broader range of applications. Additionally, the noise suppression engine is also compatible with Nvidia Jetson Nano, which is extensively used in edge artificial intelligence applications like entry-level network video recorders (NVRs), home robots, and intelligent gateways that have full analytics capabilities.

By supporting these platforms, Koala expands its potential user base and enhances its versatility in various applications. It is worth noting that the ability to operate on these platforms reflects the high adaptability of Koala to different environments and requirements.

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About Abhishek Jadhav

Abhishek Jadhav is an engineering student, RISC-V ambassador and a freelance technology and science writer with bylines at Wevolver, Electromaker, Embedded Computing Design, Electronics-Lab, Hackster, and EdgeIR.

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