Deep neural network based wake-up-word speech recognition with two-stage detection

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2017.7952659 ◽

2017 ◽

Author(s):

Fengpei Ge ◽

Yonghong Yan

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network ◽

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An optimized two-stage cascaded deep neural network for adrenal segmentation on CT images

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2021.104749 ◽

2021 ◽

pp. 104749

Author(s):

Guoting Luo ◽

Qing Yang ◽

Tao Chen ◽

Tao Zheng ◽

Wei Xie ◽

...

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Ct Images ◽

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A initial attempt on task-specific adaptation for deep neural network-based large vocabulary continuous speech recognition

10.21437/interspeech.2012-9 ◽

2012 ◽

Author(s):

Yeming Xiao ◽

Zhen Zhang ◽

Shang Cai ◽

Jielin Pan ◽

Yonghong Yan

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Initial Attempt ◽

Specific Adaptation ◽

Large Vocabulary

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A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network

Artificial Intelligence in Radiation Therapy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-32486-5_6 ◽

2019 ◽

pp. 43-51

Author(s):

Zhiyu Liu ◽

Wenhao Jiang ◽

Kit-Hang Lee ◽

Yat-Long Lo ◽

Yui-Lun Ng ◽

...

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Lesion Detection ◽

Two Stage ◽

Weakly Supervised

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Efficient Acoustic Modeling Method for Unsupervised Speech Recognition using Multi-Task Deep Neural Network

Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering ◽

10.2991/nceece-15.2016.72 ◽

2016 ◽

Author(s):

Haitao Yao ◽

Maobo An ◽

Ji Xu ◽

Jian Liu

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network ◽

Modeling Method ◽

Acoustic Modeling

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Reduction of Computational Cost Using Two-Stage Deep Neural Network for Training for Denoising and Sound Source Identification

Trends in Applied Knowledge-Based Systems and Data Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-42007-3_49 ◽

2016 ◽

pp. 562-573 ◽

Author(s):

Takayuki Morito ◽

Osamu Sugiyama ◽

Satoshi Uemura ◽

Ryosuke Kojima ◽

Kazuhiro Nakadai

Keyword(s):

Neural Network ◽

Sound Source ◽

Source Identification ◽

Deep Neural Network ◽

Computational Cost ◽

Two Stage ◽

Sound Source Identification

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A study on deep neural network acoustic model adaptation for robust far-field speech recognition

10.21437/interspeech.2015-525 ◽

2015 ◽

Author(s):

Seyedmahdad Mirsamadi ◽

John H. L. Hansen

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network ◽

Far Field ◽

Acoustic Model ◽

Model Adaptation

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Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points

Journal of King Saud University - Computer and Information Sciences ◽

10.1016/j.jksuci.2019.07.001 ◽

2019 ◽

Author(s):

Chuya China Bhanja ◽

Mohammad Azharuddin Laskar ◽

Rabul Hussain Laskar ◽

Sivaji Bandyopadhyay

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Language Identification ◽

Identification System ◽

Two Stage ◽

Indian Language ◽

Glottal Closure Instants ◽

Glottal Closure ◽

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Donggan speech recognition based on deep neural network

2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) ◽

10.1109/itaic.2019.8785451 ◽

2019 ◽

Author(s):

Haiyan Xu ◽

Hongwu Yang ◽

Yuren You

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network

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Evaluation of Modified Deep Neural Network Architecture Performance for Speech Recognition

2018 International Conference on Intelligent and Advanced System (ICIAS) ◽

10.1109/icias.2018.8540636 ◽

2018 ◽

Author(s):

Md Amaan Haque ◽

John Sahaya Rani Alex ◽

Nithya Venkatesan

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Network Architecture ◽

Deep Neural Network ◽

Neural Network Architecture

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Deep Neural Network Based Continuous Speech Recognition for Serbian Using the Kaldi Toolkit

Speech and Computer - Lecture Notes in Computer Science ◽

10.1007/978-3-319-23132-7_23 ◽

2015 ◽

pp. 186-192 ◽

Author(s):

Branislav Popović ◽

Stevan Ostrogonac ◽

Edvin Pakoci ◽

Nikša Jakovljević ◽

Vlado Delić

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network ◽

Continuous Speech ◽

Continuous Speech Recognition

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