Title:
WAKEUP WORD DETECTION METHOD AND APPARATUS EMPLOYING ARTIFICIAL INTELLIGENCE, DEVICE, AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2021/093449
Kind Code:
A1
Abstract:
A wakeup word detection method and apparatus (700) employing artificial intelligence, a device, and a storage medium. The method comprises: using a pre-configured pronunciation dictionary to construct at least one syllable combination sequence for user-defined wakeup word text inputted by a user by means of a user interface; acquiring speech data to be subjected to recognition, and extracting a speech feature of each speech frame in the speech data (101); inputting the speech features into a pre-constructed deep neural network model, and outputting posterior probability vectors of the speech features with respect to a syllable identifier, wherein the deep neural network model comprises the same number of syllable output units as the number of syllables in the pre-constructed pronunciation dictionary (103); and determining a target probability vector from the posterior probability vectors according to the syllable combination sequence, calculating a confidence according to the target probability vector, and when the confidence is greater than or equal to a threshold, determining that the speech frame comprises the wakeup word text, wherein the syllable combination sequence is constructed according to the input wakeup word text (105).
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Inventors:
CHEN JIE (CN)
SU DAN (CN)
JIN MINGJIE (CN)
ZHU ZHENLING (CN)
SU DAN (CN)
JIN MINGJIE (CN)
ZHU ZHENLING (CN)
Application Number:
PCT/CN2020/115800
Publication Date:
May 20, 2021
Filing Date:
September 17, 2020
Export Citation:
Assignee:
TENCENT TECH SHENZHEN CO LTD (CN)
International Classes:
G10L15/197; G06N3/08; G10L15/02; G10L15/22
Foreign References:
CN108182937A | 2018-06-19 | |||
CN110838289A | 2020-02-25 | |||
CN107123417A | 2017-09-01 | |||
CN109036412A | 2018-12-18 | |||
CN106098059A | 2016-11-09 | |||
CN108615526A | 2018-10-02 | |||
CN109065044A | 2018-12-21 | |||
US10468027B1 | 2019-11-05 |
Attorney, Agent or Firm:
DEQI INTELLECTUAL PROPERTY LAW CORPORATION (CN)
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