Title:
MODEL TRAINING METHOD, VOICE DETECTION AND LOCALIZATION METHOD, APPARATUS, DEVICE, AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/273469
Kind Code:
A1
Abstract:
A model training method, a voice detection and localization method, an apparatus, a device, and a medium. The method comprises: receiving speech content by means of a microphone array, and obtaining multi-channel audio, the speech content being voice speech content or noise speech content; obtaining a target vector and an audio feature parameter of the multi-channel audio, the target vector comprising N labels, the N labels being in one-to-one correspondence with N spatial regions, and each label indicating the probability that the corresponding spatial region contains a voice; taking the audio feature parameter of the multi-channel audio to serve as training sample input, taking the target vector of the multi-channel audio to serve as training sample target output, utilizing a training sample to train a deep neural network, and obtaining a target model. The accuracy of the target model is thereby increased, and the accuracy of voice detection and localization is consequently increased.
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Inventors:
HAN KEWEI (CN)
Application Number:
PCT/CN2022/084599
Publication Date:
January 05, 2023
Filing Date:
March 31, 2022
Export Citation:
Assignee:
CLOUDMINDS ROBOTICS CO LTD (CN)
International Classes:
G10L25/78; G01S3/802
Domestic Patent References:
WO2021013346A1 | 2021-01-28 |
Foreign References:
CN111142066A | 2020-05-12 | |||
CN112799016A | 2021-05-14 | |||
CN105068048A | 2015-11-18 | |||
CN110794368A | 2020-02-14 | |||
US20170040030A1 | 2017-02-09 |
Attorney, Agent or Firm:
TEKYRS INTELLECTUAL PROPERTY INC. (CN)
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