Beijing Youzhuju Network Technology Co., Ltd.

Zejun Ma

Linhao Dong

Zhiyun Fan

Yangfei Xu

Yuzhou Gong

Wenzhi Fan

Haopeng Lin

Zhifei Zhang

Zheng Xue

A method, apparatus, a computer readable medium, and an electronic device of speech synthesis. The method includes: obtaining a phoneme sequence corresponding to text to be synthesized; generating a phonemic-level TOBI representation sequence and a prosodic-acoustic feature corresponding to the text to be synthesized based on the phoneme sequence and the text to be synthesized, and generating acoustic feature information corresponding to the text to be synthesized based on the TOBI representation sequence and the prosodic-acoustic feature; and generating first audio information corresponding to the text to be synthesized based on the acoustic feature information. The method enables the synthesized audio to be more natural, cadenced, and aligned with the intended semantics of a speaker.

Method, apparatus, computer readable medium, and electronic device of speech synthesis

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

An audio signal playing method and apparatus, and an electronic device are provided. The method comprises: separating, from a first audio signal, a recorded audio signal corresponding to each of at least one sound source; on the basis of the first audio signal, determining a real-time orientation of each of the at least one sound source relative to the head of a user; for each sound source, according to the real-time orientation of the sound source and the recorded audio signal corresponding to the sound source, generating a target direct audio signal corresponding to the sound source, and generating a target reverberated audio signal corresponding to the sound source; and playing a second audio signal that is generated by means of fusing the target direct audio signal and the target reverberated audio signal corresponding to each sound source.

Audio signal playing method and apparatus, and electronic device

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

Zejun Ma