A 510-nW wake-up keyword-spotting chip using serial-FFT-based MFCC and binarized depthwise separable CNN in 28-nm CMOS
We propose a sub-μW always-ON keyword spotting (μKWS) chip for audio wake-up
systems. It is mainly composed of a neural network (NN) and a feature extraction (FE) circuit …
systems. It is mainly composed of a neural network (NN) and a feature extraction (FE) circuit …
Continuous-time analog filters for audio edge intelligence: Review on circuit designs [feature]
Edge audio devices can reduce data bandwidth requirements by pre-processing input
speech on the device before transmission to the cloud. As edge devices are required to …
speech on the device before transmission to the cloud. As edge devices are required to …
14.1 A 510nW 0.41 V low-memory low-computation keyword-spotting chip using serial FFT-based MFCC and binarized depthwise separable convolutional neural …
W Shan, M Yang, J Xu, Y Lu, S Zhang… - … Solid-State Circuits …, 2020 - ieeexplore.ieee.org
Ultra-low power is a strong requirement for always-on speech interfaces in wearable and
mobile devices, such as Voice Activity Detection (VAD) and Keyword Spotting (KWS)[1]-[5] …
mobile devices, such as Voice Activity Detection (VAD) and Keyword Spotting (KWS)[1]-[5] …
A 22nm, 10.8 μ W/15.1 μ W Dual Computing Modes High Power-Performance-Area Efficiency Domained Background Noise Aware Keyword- Spotting Processor
This paper proposes a high power-performance-area efficient background noise aware
keyword-spotting (KWS) processor based on an optimized binarized weight network (BWN) …
keyword-spotting (KWS) processor based on an optimized binarized weight network (BWN) …
A 23μW solar-powered keyword-spotting ASIC with ring-oscillator-based time-domain feature extraction
Voice-controlled interfaces on acoustic Internet-of-Things (IoT) sensor nodes and mobile
devices require integrated low-power always-on wake-up functions such as Voice Activity …
devices require integrated low-power always-on wake-up functions such as Voice Activity …
Low-power audio keyword spotting using tsetlin machines
The emergence of artificial intelligence (AI) driven keyword spotting (KWS) technologies has
revolutionized human to machine interaction. Yet, the challenge of end-to-end energy …
revolutionized human to machine interaction. Yet, the challenge of end-to-end energy …
A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction
This article presents the first keyword spotting (KWS) IC that uses a ring-oscillator-based
time-domain processing technique for its analog feature extractor (FEx). Its extensive usage …
time-domain processing technique for its analog feature extractor (FEx). Its extensive usage …
9.8 A 25mm2 SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence …
Automatic speech recognition (ASR) using deep learning is essential for user interfaces on
IoT devices. However, previously published ASR chips [4-7] do not consider realistic …
IoT devices. However, previously published ASR chips [4-7] do not consider realistic …
A 148-nW reconfigurable event-driven intelligent wake-up system for AIoT nodes using an asynchronous pulse-based feature extractor and a convolutional neural …
Z Wang, Y Liu, P Zhou, Z Tan, H Fan… - IEEE Journal of Solid …, 2021 - ieeexplore.ieee.org
This article presents a 148-nW always-on wake-up system that drastically reduces the
system power consumption of Internet of Things (IoT) sensor nodes while oftentimes …
system power consumption of Internet of Things (IoT) sensor nodes while oftentimes …
A 0.05- 2.91-nJ/Decision Keyword-Spotting (KWS) Chip Featuring an Always-Retention 5T-SRAM in 28-nm CMOS
This article reports a keyword-spotting (KWS) chip for voice-controlled devices. It features a
number of techniques to enhance the performance, area, and power efficiencies: 1) a fast …
number of techniques to enhance the performance, area, and power efficiencies: 1) a fast …