Articles with "keyword spotting" as a keyword



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CTC token parsing algorithm using keyword spotting for BLSTM based unconstrained handwritten recognition

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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… read more here.

Keywords: ctc token; token parsing; handwritten recognition; recognition ... See more keywords
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Target-aware Neural Architecture Search and Deployment for Keyword Spotting

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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.… read more here.

Keywords: keyword spotting; design; keyword; neural architecture ... See more keywords
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Evaluating Robustness to Noise and Compression of Deep Neural Networks for Keyword Spotting

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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… read more here.

Keywords: noise; keyword spotting; robustness noise; noise compression ... See more keywords
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A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction

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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… read more here.

Keywords: time; keyword spotting; oscillator based; domain ... See more keywords
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AAD-KWS: A Sub-μ W Keyword Spotting Chip With an Acoustic Activity Detector Embedded in MFCC and a Tunable Detection Window in 28-nm CMOS

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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… read more here.

Keywords: acoustic activity; chip acoustic; keyword spotting; detection ... See more keywords
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Multitaper-Mel Spectrograms for Keyword Spotting

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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… read more here.

Keywords: multitaper mel; mel spectrograms; spectrograms keyword; keyword spotting ... See more keywords
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A Lightweight Architecture for Query-by-Example Keyword Spotting on Low-Power IoT Devices

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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… read more here.

Keywords: spotting low; query example; low power; keyword spotting ... See more keywords
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Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks

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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… read more here.

Keywords: analog; keyword spotting; energy; tex math ... See more keywords
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Efficient Learning-Free Keyword Spotting

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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… read more here.

Keywords: learning free; query; proposed method; keyword spotting ... See more keywords
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A 14 μJ/Decision Keyword-Spotting Accelerator With In-SRAMComputing and On-Chip Learning for Customization

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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… read more here.

Keywords: keyword spotting; customization; chip learning; accelerator ... See more keywords
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Mental model for handwritten keyword spotting

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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… read more here.

Keywords: handwritten keyword; model handwritten; model; mental model ... See more keywords