Deep spoken keyword spotting: An overview
Spoken keyword spotting (KWS) deals with the identification of keywords in audio streams
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …
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 …
How to design a three-stage architecture for audio-visual active speaker detection in the wild
Successful active speaker detection requires a three-stage pipeline:(i) audio-visual
encoding for all speakers in the clip,(ii) inter-speaker relation modeling between a reference …
encoding for all speakers in the clip,(ii) inter-speaker relation modeling between a reference …
Multichannel speech enhancement by raw waveform-mapping using fully convolutional networks
In recent years, waveform-mapping-based speech enhancement (SE) methods have
garnered significant attention. These methods generally use a deep learning model to …
garnered significant attention. These methods generally use a deep learning model to …
Hardware acceleration for embedded keyword spotting: Tutorial and survey
JSP Giraldo, M Verhelst - ACM Transactions on Embedded Computing …, 2021 - dl.acm.org
In recent years, Keyword Spotting (KWS) has become a crucial human–machine interface
for mobile devices, allowing users to interact more naturally with their gadgets by leveraging …
for mobile devices, allowing users to interact more naturally with their gadgets by leveraging …
Small-footprint keyword spotting with multi-scale temporal convolution
X Li, X Wei, X Qin - arXiv preprint arXiv:2010.09960, 2020 - arxiv.org
Keyword Spotting (KWS) plays a vital role in human-computer interaction for smart on-
device terminals and service robots. It remains challenging to achieve the trade-off between …
device terminals and service robots. It remains challenging to achieve the trade-off between …
Phonmatchnet: phoneme-guided zero-shot keyword spotting for user-defined keywords
YH Lee, N Cho - arXiv preprint arXiv:2308.16511, 2023 - arxiv.org
This study presents a novel zero-shot user-defined keyword spotting model that utilizes the
audio-phoneme relationship of the keyword to improve performance. Unlike the previous …
audio-phoneme relationship of the keyword to improve performance. Unlike the previous …
Neural architecture search for keyword spotting
Deep neural networks have recently become a popular solution to keyword spotting
systems, which enable the control of smart devices via voice. In this paper, we apply neural …
systems, which enable the control of smart devices via voice. In this paper, we apply neural …
A 2.5 μW KWS Engine With Pruned LSTM and Embedded MFCC for IoT Applications
Always-on keyword spotting (KWS) hardware is gaining popularity in ultra-low power IoT
applications where specific words are used to wake up and activate the power hungry …
applications where specific words are used to wake up and activate the power hungry …
End-to-end keyword spotting using neural architecture search and quantization
D Peter, W Roth, F Pernkopf - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
This paper introduces neural architecture search (NAS) for the automatic discovery of end-to-
end keyword spotting (KWS) models for limited resource environments. We employ a …
end keyword spotting (KWS) models for limited resource environments. We employ a …