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Patent Searching and Data


Title:
VOICE WAKE-UP METHOD AND DEVICE AND ELECTRONIC DEVICE
Document Type and Number:
WIPO Patent Application WO/2019/001428
Kind Code:
A1
Abstract:
A voice wake-up method and device, and an electronic device are provided. The voice wake-up method comprises: using a voice wake-up model comprising a deep neural network and a connectionist time classifier to implement voice wake-up, wherein the voice wake-up model can be obtained by training with general voice data.

Inventors:
WANG ZHIMING (CN)
ZHOU JUN (CN)
LI XIAOLONG (CN)
Application Number:
PCT/CN2018/092899
Publication Date:
January 03, 2019
Filing Date:
June 26, 2018
Export Citation:
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Assignee:
ALIBABA GROUP HOLDING LTD (CN)
WANG ZHIMING (CN)
ZHOU JUN (CN)
LI XIAOLONG (CN)
International Classes:
G10L15/22; G10L15/02; G10L15/16
Foreign References:
CN107358951A2017-11-17
CN106297774A2017-01-04
CN106098059A2016-11-09
CN106782536A2017-05-31
US9177547B22015-11-03
CN106611597A2017-05-03
Other References:
WANG, ZHIMING ET AL.: "Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier", ARXIV, 12 September 2017 (2017-09-12), XP055573783, Retrieved from the Internet
YE, BAI: "End-end Keywords Spotting Based on Connectionist Temporal Classification for Mandarin", 10TH INTERNATIONAL SYMPOSIUM ON CHINESE SPOKEN LANGUAGE PROCESSING (ISCSLP, 31 December 2016 (2016-12-31), pages 1 - 5, XP033092593
CHENG, TAO: "How to Further Improve the Accuracy of Speech Recognition behind the Seven Mainstream Acoustic Modeling Techniques", EDNCHINA, 7 September 2016 (2016-09-07), XP055573791, Retrieved from the Internet
CHEN, G. ET AL.: "Small-Footprint Keyword Spotting Using Deep Neural Networks", IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, 30 December 2014 (2014-12-30), pages 4087 - 4091, XP055569177
Attorney, Agent or Firm:
CO-HORIZON INTELLECTUAL PROPERTY INC. (CN)
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