Ultra-Low Power Neuromorphic Front End Chip for Hearables
NeuroVoice, a Tiny AI chip based on the Neuromorphic Analog Signal Processor, addresses the most annoying problems of mass-market hearables: hearing experience in case of irregular noises, power consumption, cloud connectivity and data privacy issues
Voice Extraction Provides The Best Hearing Experience!
Always-on, adaptive to different types of noise, ultra-low-power and on-device, cloud-independent voice processing
Digital hearing solutions have challenges:
1Digital sound processing is power hungry
2Digital solutions can’t provide low latency needed for real-time voice processing
3Active noise cancellation is helpless against irregular noises
1Ultra-low power consumption below 150µW
2NASP ensure ultra-fast inherence in up to 20µs
3Voice extraction delivers clear voice in any background conditions
NeuroVoice is different from other solutions in the market of affordable hearables. Typical digital devices are power hungry. But hearables require operating times of 24-48 hours on the battery charge. In contrast, NeuroVoice enables by orders of magnitude longer always-on operation due to analog neuromorphic computations performed directly on-device. At the same time, NeuroVoice provides ultra-low latency for unsurpassed quality of hearing experience.
| Solution | Acoustic Voice Processing | Mixed Voice Processing | Irregular Noise | Standard Noise | Single Microphone Solution | Transparent Mode AI Support |
|---|---|---|---|---|---|---|
|
DSP |
Yes |
No |
No |
Yes |
No |
No |
|
NASP |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Possible applications: earbuds and smartphones, hearing aids and hearing assistance, gamers headphones and intercom systems
Additional Voice Features
NeuroVoice supports a range of other voice processing features, in addition to Voice Extraction. Voice Activity Detection (VAD), Wake Word Detection (WWD) and Keyword Spotting (KWS) all together or in any combination allow building a voice processing product for any use case requirements.
Possible applications include Smart Home, Smart Factory, Smart Health and other systems with voice control and management.
Refining the ability to hear the human voice in noisy environments would be a major step forward for hearing aids, hearing assistance, conferencing, two-way radios or even gaming applications.
Voice extraction by a neural network is the answer, if implemented not in the cloud but according to Tiny ML approach – on-device. NeuroVoice, a small low-power and low-latency chip offers exactly that.
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