Huawei Technologies Co., Limited

Tencent Technology (shenzhen) Company Limited

Central Research Institute of Building and Construction Co., Ltd. Mcc

Jiawei Li

Zhe Wang

Bingyin Xia

Yan Zhang

Dong Yu

Li Qin Shen

Yonggen Ling

Qing Xu

Haozhi Huang

Yanyan Wang

Bin Zeng

Xiaoda Xu

Haoda Zhang

This application provides an audio encoding method and an encoding device. The method includes: obtaining a current frame includes a high frequency band signal and a low frequency band signal; performing first encoding on the high frequency band signal and the low frequency band signal, to obtain a first encoding parameter; performing second encoding on the high frequency band signal to obtain a second encoding parameter which indicates information about a tonal component of the high frequency band signal; adjusting, based on the information, a spectrum of a high frequency band signal obtained through bandwidth extension, to obtain an adjusted spectrum of the high frequency band signal; performing third encoding based on the adjusted spectrum of the high frequency band signal to obtain a third encoding parameter.

Audio encoding method and coding device

This application disclose an encoding method and apparatus, a decoding method and apparatus, a device, a storage medium, and a computer program, and relate to the field of encoding and decoding technologies. In this method, a first latent variable is scaled based on a first variable scale factor, to obtain a second latent variable, and a quantity of coding bits of an entropy coding result of the second latent variable meets a preset encoding rate condition. This ensures that a quantity of coding bits of an entropy coding result of a latent variable corresponding to each frame of media data can meet the preset encoding rate condition, that is, the quantity of coding bits of the entropy coding result of the latent variable corresponding to each frame of media data can be basically consistent, instead of dynamically changing.

Encoding method and apparatus, decoding method and apparatus, device, storage medium, and computer program

A concrete structure effective prestress estimation and evaluation characteristic value calculation method which includes calculating effective prestress probability distribution of a concrete structure prestress rebar, establishing a Gaussian mixture model of effective prestress of the concrete structure, carrying out normalization processing and normal significance judgment on the Gaussian mixture model, sampling and estimating the effective prestress probability distribution of the structure with normal distribution in theoretical distribution, calculating effective prestress evaluation characteristic values of the components under the normal distribution condition, grouping processing and normal significance judging of the Gaussian mixture model, sampling and estimating the structural effective prestress probability distribution of the N-sub-distribution Gaussian mixture model by theoretical distribution, calculating effective prestress evaluation characteristic values of the components under the condition of the N-sub-distribution Gaussian mixture model.

Method for estimating effective prestress and calculating evaluation characteristic value of concrete structure

A model training method includes obtaining an image sample set and brief-prompt information; generating a content mask set according to the image sample set and the brief-prompt information; generating a to-be-trained image set according to the content mask set; obtaining, based on the image sample set and the to-be-trained image set, a predicted image set through a to-be-trained information synthesis model, the predicted image set comprising at least one predicted image, the predicted image being in correspondence to the image sample; and training, based on the predicted image set and the image sample set, the to-be-trained information synthesis model by using a target loss function, to obtain an information synthesis model.

Model training method, media information synthesis method, and related apparatuses

An audio signal coding method is provided that includes: obtaining a current frame of an audio signal; obtaining a coding parameter based on a power spectrum ratio of a current frequency in a current frequency area of at least a part of signals of the current frame, where the coding parameter indicates tonal component information of the at least a part of signals, the tonal component information includes at least one of location information of a tonal component, quantity information of tonal components, amplitude information of the tonal component, or energy information of the tonal component, and the power spectrum ratio of the current frequency is a ratio of a value of a power spectrum of the current frequency to a mean value of power spectrums of the current frequency area; and performing bitstream multiplexing on the coding parameter to obtain a coded bitstream.

Audio signal coding method and apparatus

An audio coding method includes obtaining a current frame of an audio signal, where the current frame includes a high frequency band signal; coding the high frequency band signal to obtain a coding parameter of the current frame, where coding includes tonal component screening, the coding parameter indicates information about a target tonal component of the high frequency band signal, the target tonal component is obtained after tonal component screening, and information about a tonal component includes location information, quantity information, and amplitude information or energy information of the tonal component; and performing bitstream multiplexing on the coding parameter to obtain a coded bitstream.

Audio coding with tonal component screening in bandwidth extension

An audio coding method includes obtaining a current frame that includes a high-frequency band signal and a low-frequency band signal; performing first coding on the high-frequency band signal and the low-frequency band signal to obtain a first coding parameter; determining a spectrum reservation flag of each frequency bin of the high-frequency band signal, where the spectrum reservation flag indicates whether a first spectrum corresponding to the frequency bin is reserved in a second spectrum corresponding to the frequency bin; and performing second coding on the high-frequency band signal based on the spectrum reservation flag of each frequency bin of the high-frequency band signal to obtain a second coding parameter, where the second coding parameter indicates information about a target tonal component of the high-frequency band signal.

Audio coding of tonal components with a spectrum reservation flag

The present disclosure discloses an audio encoding and decoding method and an audio encoder and decoder. The audio encoding method includes: obtaining a current frame of an audio signal, where the current frame includes a high frequency band signal and a low frequency band signal; obtaining a first encoding parameter based on the high frequency band signal and the low frequency band signal; obtaining a second encoding parameter of the current frame based on the high frequency band signal, where the second encoding parameter includes tone component information; and performing bitstream multiplexing on the first encoding parameter and the second encoding parameter, to obtain an encoded bitstream.

Audio encoding and decoding method and audio encoding and decoding device

An audio decoding method includes obtaining an encoded bitstream; performing bitstream demultiplexing on the encoded bitstream, to obtain a high frequency band parameter of a current frame of an audio signal, wherein the high frequency band parameter indicates a location, a quantity, and an amplitude or energy of a tone component comprised in a high frequency band signal of the current frame; obtaining a reconstructed high frequency band signal of the current frame based on the high frequency band parameter; and obtaining an audio output signal of the current frame based on the reconstructed high frequency band signal of the current frame.

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Beijing, China

Jiawei Li