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Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-019-01458-0
Abstract: The images are becoming more popular in today’s world and being made available over the internet, scanned/captured documents are used in paperless offices and digital libraries. The keyword spotting is well known techniques in document…
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Keywords:
ctc token;
token parsing;
handwritten recognition;
recognition ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3166939
Abstract: Keyword spotting (KWS) utilities have become increasingly popular on a wide range of mobile and home devices, representing a prolific application field for Convolutional Neural Networks (CNNs), which are commonly exploited to perform keyword classification.…
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Keywords:
keyword spotting;
design;
keyword;
neural architecture ... See more keywords
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3
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3280477
Abstract: Keyword Spotting (KWS) has been the subject of research in recent years given the increase of embedded systems for command recognition such as Alexa, Google Home, and Siri. Performance, model size, processing time, and robustness…
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Keywords:
noise;
keyword spotting;
robustness noise;
noise compression ... See more keywords
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Published in 2022 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2022.3195610
Abstract: 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 of time-encoding schemes allows the analog audio signal to be…
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Keywords:
time;
keyword spotting;
oscillator based;
domain ... See more keywords
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Published in 2023 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2022.3197838
Abstract: As a widely used speech-triggered interface, deep-learning-based keyword spotting (KWS) chips require both ultra-low power and high detection accuracy. We propose a sub-microwatt KWS chip with an acoustic activity detection (AAD) to achieve the above…
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Keywords:
acoustic activity;
chip acoustic;
keyword spotting;
detection ... See more keywords
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1
Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3208411
Abstract: Keyword spotting (KWS) is one of the speech recognition tasks most sensitive to the quality of the feature representation. However, the research on KWS has traditionally focused on new model topologies, putting little emphasis on…
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Keywords:
multitaper mel;
mel spectrograms;
spectrograms keyword;
keyword spotting ... See more keywords
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Published in 2023 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2022.3213075
Abstract: Keyword spotting (KWS) is a task to recognize a keyword or a particular command in a continuous audio stream, which can be effectively applied to a voice trigger system that automatically monitors and processes speech…
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Keywords:
spotting low;
query example;
low power;
keyword spotting ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3142525
Abstract: Keyword spotting (KWS) is a crucial function enabling the interaction with the many ubiquitous smart devices in our surroundings, either activating them through wake-word or directly as a human-computer interface. For many applications, KWS is…
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Keywords:
analog;
keyword spotting;
energy;
tex math ... See more keywords
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Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2845880
Abstract: In this article, a method for segmentation-based learning-free Query by Example (QbE) keyword spotting on handwritten documents is proposed. The method consists of three steps, namely preprocessing, feature extraction and matching, which address critical variations…
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Keywords:
learning free;
query;
proposed method;
keyword spotting ... See more keywords
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Published in 2022 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2022.3172685
Abstract: Keyword spotting (KWS) has gained popularity as a natural way to interact with consumer devices in recent years. However, because of its always on nature and the variety of speech, it necessitates a low-power design…
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Keywords:
keyword spotting;
customization;
chip learning;
accelerator ... See more keywords
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Published in 2018 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.27.5.053027
Abstract: Abstract. Most of existing approaches in keyword spotting are system-oriented, which did not take into consideration the user’s needs. However, a user may want to find words, sentences, or texts that match his target image…
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Keywords:
handwritten keyword;
model handwritten;
model;
mental model ... See more keywords