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BiblioKeywordSpotting.bib
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BiblioKeywordSpotting.bib
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@INPROCEEDINGS{2022-ICEIEC-KwsForRobotControlInMicrocontroller,
author={Miah, Md Naim and Wang, Guoping},
booktitle={2022 IEEE 12th International Conference on Electronics Information and Emergency Communication (ICEIEC)},
title={Keyword Spotting with Deep Neural Network on Edge Devices},
year={2022},
volume={},
number={},
pages={98-102},
doi={10.1109/ICEIEC54567.2022.9835061}}
@article{2022-JAIHC-EdgeCrnnRaspberry,
author = {Wei, Yungen and Gong, Zheng and Yang, Shunzhi and Ye, Kai and Wen, Yamin},
year = {2022},
month = {03},
pages = {1-11},
title = {EdgeCRNN: an edge-computing oriented model of acoustic feature enhancement for keyword spotting},
volume = {13},
journal = {Journal of Ambient Intelligence and Humanized Computing},
doi = {10.1007/s12652-021-03022-1}
}
@article{2017-HelloEdgeKwsMicrocontrollers,
author = {Zhang, Yundong and Suda, Naveen and Lai, Liangzhen and Chandra, Vikas},
year = {2017},
month = {11},
pages = {},
title = {Hello Edge: Keyword Spotting on Microcontrollers}
}
@misc{2022-arXivkeyword-KwsAndPruningandQuantizationMicrocontrollers,
title={Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers},
author={Jingyi Wang and Shengchen Li},
year={2022},
eprint={2208.02765},
archivePrefix={arXiv},
primaryClass={cs.SD}
}
@ARTICLE{2022-JSSC-108-nWAnalogVoiceActivityDetector,
author={Chen, Feifei and Un, Ka-Fai and Yu, Wei-Han and Mak, Pui-In and Martins, Rui P.},
journal={IEEE Journal of Solid-State Circuits},
title={A 108-nW 0.8-mm2 Analog Voice Activity Detector Featuring a Time-Domain CNN With Sparsity-Aware Computation and Sparsified Quantization in 28-nm CMOS},
year={2022},
volume={57},
number={11},
pages={3288-3297},
doi={10.1109/JSSC.2022.3191008}}
@INPROCEEDINGS{2022-IoTAIS-ComparingAnalogAndDigitalProcessing,
author={Marzetti, Sebastián and Gies, Valentin and Barchasz, Valentin and Barthélemy, Hervé and Glotin, Hervé},
booktitle={2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)},
title={Comparing Analog and Digital Processing for Ultra Low-Power Embedded Artificial Intelligence},
year={2022},
volume={},
number={},
pages={112-116},
doi={10.1109/IoTaIS56727.2022.9975931}}
@ARTICLE{2022-JSSC-23uwKwsRingOscillatorBandPassFilter,
author={Kim, Kwantae and Gao, Chang and Graça, Rui and Kiselev, Ilya and Yoo, Hoi-Jun and Delbruck, Tobi and Liu, Shih-Chii},
journal={IEEE Journal of Solid-State Circuits},
title={A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction},
year={2022},
volume={57},
number={11},
pages={3298-3311},
doi={10.1109/JSSC.2022.3195610}}
@article{2018-JSPS-A_Fixed_Point_Neural_Network_Architecture_for_Speech_Applications_on_Resource_Constrained_Hardware,
author = {Shah, Mohit and Arunachalam, Sairam and Wang, Jingcheng and Blaauw, David and Sylvester, Dennis and Kim, Hun-Seok and Seo, Jae-sun and Chakrabarti, Chaitali},
year = {2018},
month = {05},
pages = {},
title = {A Fixed-Point Neural Network Architecture for Speech Applications on Resource Constrained Hardware},
volume = {90},
journal = {Journal of Signal Processing Systems},
doi = {10.1007/s11265-016-1202-x}
}
@ARTICLE{2019-IEEE_Access-ULP_KWS_Quantized_CNN_Analog_Switching_Network,
author={Liu, Bo and Wang, Zhen and Zhu, Wentao and Sun, Yuhao and Shen, Zeyu and Huang, Lepeng and Li, Yan and Gong, Yu and Ge, Wei},
journal={IEEE Access},
title={An Ultra-Low Power Always-On Keyword Spotting Accelerator Using Quantized Convolutional Neural Network and Voltage-Domain Analog Switching Network-Based Approximate Computing},
year={2019},
volume={7},
number={},
pages={186456-186469},
doi={10.1109/ACCESS.2019.2960948}}
@misc{GoogleSpeechCommandsDataset,
title={Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition},
author={Pete Warden},
year={2018},
eprint={1804.03209},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
@article{2016-IEEE_JSSC-55uW_2Ch_BinauralSiliconCochleaforEvent-DrivenStereo-AudioSensing,
author = {Yang, Minhao and Chien, Chen-Han and Delbruck, Tobi and Liu, Shih-Chii},
year = {2016},
month = {09},
pages = {1-16},
title = {A 0.5 V 55 μW 64 x 2 Channel Binaural Silicon Cochlea for Event-Driven Stereo-Audio Sensing},
volume = {PP},
journal = {IEEE Journal of Solid-State Circuits},
doi = {10.1109/JSSC.2016.2604285}
}
@ARTICLE{2019-IEEE_JSSC-Always_On_Deep_Neural_Network-Based_1-uW_Voice_Activity_Detector_Aided_With_a_Customized_Software_Model_for_Analog_Feature_Extraction,
author={Yang, Minhao and Yeh, Chung-Heng and Zhou, Yiyin and Cerqueira, Joao P. and Lazar, Aurel A. and Seok, Mingoo},
journal={IEEE Journal of Solid-State Circuits},
title={Design of an Always-On Deep Neural Network-Based 1- $\mu$ W Voice Activity Detector Aided With a Customized Software Model for Analog Feature Extraction},
year={2019},
volume={54},
number={6},
pages={1764-1777},
doi={10.1109/JSSC.2019.2894360}
}
@ARTICLE{2019-IEEE_JSSC-Acoustic_Signal_Processing_Chip_With_142_nW_Voice_Activity_Detec,
author={Oh, Sechang and Cho, Minchang and Shi, Zhan and Lim, Jongyup and Kim, Yejoong and Jeong, Seokhyeon and Chen, Yu and Rothe, Rohit and Blaauw, David and Kim, Hun-Seok and Sylvester, Dennis},
journal={IEEE Journal of Solid-State Circuits},
title={An Acoustic Signal Processing Chip With 142-nW Voice Activity Detection Using Mixer-Based Sequential Frequency Scanning and Neural Network Classification},
year={2019},
volume={54},
number={11},
pages={3005-3016},
doi={10.1109/JSSC.2019.2936756}}
@ARTICLE{2019-IEEE_TransactionsCAS-AnUltra-LowPowerBinarizedConvolutionalNeuralNetwork-BasedSpeechRecognitionProcessorWithOn-ChipSelf-Learning,
author={Zheng, Shixuan and Ouyang, Peng and Song, Dandan and Li, Xiudong and Liu, Leibo and Wei, Shaojun and Yin, Shouyi},
journal={IEEE Transactions on Circuits and Systems I: Regular Papers},
title={An Ultra-Low Power Binarized Convolutional Neural Network-Based Speech Recognition Processor With On-Chip Self-Learning},
year={2019},
volume={66},
number={12},
pages={4648-4661},
doi={10.1109/TCSI.2019.2942092}}
@ARTICLE{2021-IEEE_JSSC-510nwWakeUpKWS28nmCMOS,
author={Shan, Weiwei and Yang, Minhao and Wang, Tao and Lu, Yicheng and Cai, Hao and Zhu, Lixuan and Xu, Jiaming and Wu, Chengjun and Shi, Longxing and Yang, Jun},
journal={IEEE Journal of Solid-State Circuits},
title={A 510-nW Wake-Up Keyword-Spotting Chip Using Serial-FFT-Based MFCC and Binarized Depthwise Separable CNN in 28-nm CMOS},
year={2021},
volume={56},
number={1},
pages={151-164},
doi={10.1109/JSSC.2020.3029097}}