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 …
Efficient automation of neural network design: A survey on differentiable neural architecture search
In the past few years, Differentiable Neural Architecture Search (DNAS) rapidly imposed
itself as the trending approach to automate the discovery of deep neural network …
itself as the trending approach to automate the discovery of deep neural network …
Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers
Executing machine learning workloads locally on resource constrained microcontrollers
(MCUs) promises to drastically expand the application space of IoT. However, so-called …
(MCUs) promises to drastically expand the application space of IoT. However, so-called …
Nas-bench-asr: Reproducible neural architecture search for speech recognition
Powered by innovations in novel architecture design, noise tolerance techniques and
increasing model capacity, Automatic Speech Recognition (ASR) has made giant strides in …
increasing model capacity, Automatic Speech Recognition (ASR) has made giant strides in …
AdvRush: Searching for adversarially robust neural architectures
Deep neural networks continue to awe the world with their remarkable performance. Their
predictions, however, are prone to be corrupted by adversarial examples that are …
predictions, however, are prone to be corrupted by adversarial examples that are …
Partially-connected differentiable architecture search for deepfake and spoofing detection
This paper reports the first successful application of a differentiable architecture search
(DARTS) approach to the deepfake and spoofing detection problems. An example of neural …
(DARTS) approach to the deepfake and spoofing detection problems. An example of neural …
Neural architecture search for LF-MMI trained time delay neural networks
State-of-the-art automatic speech recognition (ASR) system development is data and
computation intensive. The optimal design of deep neural networks (DNNs) for these …
computation intensive. The optimal design of deep neural networks (DNNs) for these …
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 …
Autokws: Keyword spotting with differentiable architecture search
Smart audio devices are gated by an always-on lightweight keyword spotting program to
reduce power consumption. It is however challenging to design models that have both high …
reduce power consumption. It is however challenging to design models that have both high …
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach
Motivated by the recent advances in Internet and communication techniques and the
proliferation of online social media, social sensing has emerged as a new sensing paradigm …
proliferation of online social media, social sensing has emerged as a new sensing paradigm …