NASP NeuroVoice: Development of Brain-Mimicking Chip for Improved Hearing and Speaking Experience for Millions of Users

在Polyn科技公司，我们从人类的大脑中获取灵感。我们的眼睛预处理千兆级的视觉信息，传递给大脑的数据减少了10万倍，减少了不必要的工作量。因此，拥有800亿个神经元的大脑只消耗20瓦的能量。相比之下，基于云的数字神经网络需要千瓦。受大自然的启发，我们开发了NASP：神经形态模拟信号处理器，它模仿大脑的功能和效率。22岁左右% of the population of Europe were estimated to have some degree of hearing loss \[www.hear-it.org\]. Overall, this analysis suggests that the annual cost of unaddressed hearing loss is in the range of $750--790bn globally, demonstrating a large market gap for technologies that can address economic loss and improve well-being. We want to use our NASP technology to improve the lives of those using hearing devices and recognise the impact it will have upon those that have reduced hearing by supporting their difficulties with a cost-effective and simplistic solution.Current state-of-the-art Digital Signal Processing (DSP) technologies are non-intelligent, power hungry, and do not provide end-user communication comfort. Our research has indicated that hearing aid users are uncomfortable and unwilling to use bulky devices with low performance that require frequent recharge or battery change.In order to address these challenges, this project will create the NASP Voice Extraction chip. Powered by neural network, it will be integrated into (any) hearing device and enable clear communication for both the speaker and listener, whether by app, phone, or in person. We will create a direct analogue interface with no need for complicated integration and a small enough form-factor to support in-ear solutions.Our aim is to create a new generation of signal processing solutions and to provide a viable tool to improve user experience.

At Polyn Technology, we take inspiration from the human brain. Our eyes pre-process gigabits of visual information and pass 100,000 times less data to the brain, reducing non-essential effort. Thus, the brain, with 80billion neurons, consumes just 20 watts of power. In comparison, cloud-based digital neural networks require kilowatts. Inspired by nature, we have developed NASP: Neuromorphic Analogue Signal Processor, which mimics the brain's function and efficiency.Around 22% of the population of Europe were estimated to have some degree of hearing loss \[www.hear-it.org\]. Overall, this analysis suggests that the annual cost of unaddressed hearing loss is in the range of $750--790bn globally, demonstrating a large market gap for technologies that can address economic loss and improve well-being. We want to use our NASP technology to improve the lives of those using hearing devices and recognise the impact it will have upon those that have reduced hearing by supporting their difficulties with a cost-effective and simplistic solution.Current state-of-the-art Digital Signal Processing (DSP) technologies are non-intelligent, power hungry, and do not provide end-user communication comfort. Our research has indicated that hearing aid users are uncomfortable and unwilling to use bulky devices with low performance that require frequent recharge or battery change.In order to address these challenges, this project will create the NASP Voice Extraction chip. Powered by neural network, it will be integrated into (any) hearing device and enable clear communication for both the speaker and listener, whether by app, phone, or in person. We will create a direct analogue interface with no need for complicated integration and a small enough form-factor to support in-ear solutions.Our aim is to create a new generation of signal processing solutions and to provide a viable tool to improve user experience.