Beijing Youzhuju Network Technology Co., Ltd.

Linhao Dong

Zejun Ma

Zhiyun Fan

A method, apparatus, device, and storage medium for speaker change point detection, the method including: acquiring target voice data to be detected; and extracting an acoustic feature characterizing acoustic information of the target voice data from the target voice data; encoding the acoustic feature to obtain speaker characterization vectors of the target voice data; integrating and firing the speaker characterization vectors of the target voice data based on a continuous integrate-and-fire CIF mechanism, to obtain a sequence of speaker characterizations in the target voice data; and determining the speaker change points, according to the sequence of the speaker characterizations bounded by the speaker change points in the target voice data. This method can effectively improve the accuracy of the detection result of a speaker change point in target voice data with a type of interaction.

Method, apparatus, device, and storage medium for speaker change point detection

The present disclosure discloses a method and device of generating acoustic features, speech model training, and speech recognition. By acquiring the acoustic information vector of the current speech frame and the information weight of the current speech frame, and according to the accumulated information weight corresponding to the previous speech frame, the retention rate corresponding to the current speech frame, and the information weight of the current speech frame, the accumulated information weight corresponding to the current speech frame can be obtained. The retention rate is the difference between 1 and a leakage rate.

Method and device of generating acoustic features, speech model training, and speech recognition

A method, apparatus, device, and storage medium for speaker change point detection, the method including: acquiring target voice data to be detected; and extracting an acoustic feature characterizing acoustic information of the target voice data from the target voice data; encoding the acoustic feature to obtain speaker characterization vectors at a voice frame level of the target voice data; integrating and firing the speaker characterization vectors at the voice frame level of the target voice data based on a continuous integrate-and-fire CIF mechanism, to obtain a sequence of speaker characterizations bounded by speaker change points in the target voice data; and determining a timestamp corresponding to the speaker change points, according to the sequence of the speaker characterizations bounded by the speaker change points in the target voice data.

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Beijing, China

Linhao Dong