Huawei Technologies Co., Limited

Tencent Technology (shenzhen) Company Limited

Sz Dji Technology Co., Ltd.

Honor Device Co., Ltd.

Starsteck Ltd

Shenzhen Moorechip Technologies Co., Ltd

Shenzhen Weiku Chuangxin Technology Co., Ltd

Yulong Computer Telecommunication Scientific (shenzhen) Co., Ltd.

Dongguan Yulong Telecommunication Tech Co., Ltd.

Tencent Technology Company Limited

Wei Xiao

Zexin Liu

Qing Feng Zhang

Lei Miao

Meng Wang

Chen Hu

Longyin Chen

Herve Marcel Taddei

Xiaobo Wu

Hai Liu

Yang Gao

Fuzheng Yang

Hua Chen

Heng Liao

Ruihua Li

Lei Zhu

Willem Bastiaan Kleijn

Dejun Zhang

Yue Lang

David Virette

Jianfeng Xu

Ning Ma

Ming Gong

Wei Fan

Fuwei Ma

Jiang Li

Liang Zhang

Wenhai Wu

Hao Cui

Liu Yang

Fan Fan

Liang Zhao

Jiajun Chen

Lelin Wang

Lijing Xu

Qingbo Huang

Zurong Wu

Ling Zhu

Yupeng Shi

Shidong Shang

Dawei Huo

Lixiong Li

Xiaoming Huang

Wenyi Su

Qing Zhang

Tinghong Wang

Jingen Sheng

Xueying Jing

Huijuan Yu

Liangliang Jiang

Suhua Li

Xuemin Li

Dingzhi Li

David Sylvain Thierry Virette

Marcel Taddei Herve

Mona Hakami

Qingdong Yu

Wenlong Wang

Yannan Wang

Jianqiang Wang

Xiaobing He

Sha Tang

Xiaodan Wang

This application relates to an audio signal enhancement method, performed by a computer device. The method including decoding received speech packets sequentially to obtain a residual signal, long term filtering parameters and linear filtering parameters; filtering the residual signal to obtain an audio signal; extracting feature parameters from the audio signal, when the audio signal is a feedforward error correction frame signal; converting the audio signal into a filter speech excitation signal based on the linear filtering parameters; performing speech enhancement on the filter speech excitation signal according to the feature parameters, the long term filtering parameters and the linear filtering parameters to obtain an enhanced speech excitation signal; and performing speech synthesis to obtain an enhanced speech signal based on the enhanced speech excitation signal and the linear filtering parameters.

Audio signal enhancement method and apparatus, computer device, storage medium and computer program product

A speech enhancement method includes: determining a glottal parameter corresponding to a target speech frame according to a frequency domain representation of the target speech frame; determining a gain corresponding to the target speech frame according to a gain corresponding to a historical speech frame of the target speech frame; determining an excitation signal corresponding to the target speech frame according to the frequency domain representation of the target speech frame; and synthesizing the glottal parameter corresponding to the target speech frame, the gain corresponding to the target speech frame, and the excitation signal corresponding to the target speech frame, to obtain an enhanced speech signal corresponding to the target speech frame.

Speech enhancement method and apparatus, device, and storage medium

A speech enhancement method includes: performing pre-enhancement on a target speech frame according to a complex spectrum corresponding to the target speech frame, to obtain a first complex spectrum; performing speech decomposition on the target speech frame according to the first complex spectrum, to obtain a glottal parameter, a gain, and an excitation signal that correspond to the target speech frame; and performing synthesis according to the glottal parameter, the gain, and the excitation signal, to obtain an enhanced speech signal corresponding to the target speech frame.

Power source

Embodiments of this disclosure provide a speech signal processing method and apparatus, an electronic device, and a non-transitory computer-readable storage medium. A processing circuitry of the electronic device obtains speech feature parameters of a to-be-processed speech signal. The speech feature parameters include an initial spectrum of the to-be-processed speech signal. The processing circuitry predicts a first quantity of subband spectrum envelopes based on the speech feature parameters. The first set quantity is less than a quantity of initial spectrum coefficients included in the initial spectrum. Each of the subband spectrum envelopes corresponds to a second quantity of initial spectrum coefficients. The processing circuitry adjusts the initial spectrum based on the predicted subband spectrum envelopes to obtain an adjusted spectrum. The processing circuitry obtains an enhanced speech signal corresponding to the to-be-processed speech signal based on the adjusted spectrum. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Speech signal processing method and apparatus, electronic device, and storage medium

This application provides an application interface display method and an electronic device, and relates to the field of communication technologies. By using the solution of this application, according to an operation (for example, selection or copy) performed by the user on an object (for example, text or a picture) displayed on a current interface, a related application may be recommended, based on the target object, to the user for selection. When selecting a recommended application, the user may trigger simultaneous display (for example, split-screen display or floating-window display) of the current interface and an interface of the recommended application. In this application, a split-screen requirement may be determined according to a scenario behavior of the user, and then a recommended application and an intelligent split-screen service may be actively provided in a targeted manner, to achieve more efficient task parallel experience, thereby improving user experience.

Application interface display method and electronic device

A voice processing method includes: determining a historical voice frame corresponding to a target voice frame; acquiring a frequency-domain characteristic of the historical voice frame and a time-domain parameter of the historical voice frame; obtaining a parameter set of the target voice frame according to a correlation between the frequency-domain characteristic of the historical voice frame and the time-domain parameter of the historical voice frame, the parameter set including at least two parameters; and reconstructing the target voice frame according to the parameter set.

Voice processing method and apparatus, electronic device, and computer-readable storage medium

A bandwidth extension (BWE) method includes: determining parameters of a low-frequency spectrum of a narrowband signal; inputting the parameters of the low-frequency spectrum into a neural network model, and obtaining a correlation parameter based on an output of the neural network model; obtaining a target high-frequency amplitude spectrum based on the correlation parameter and a low-frequency amplitude spectrum; obtaining a high-frequency spectrum based on a low-frequency phase spectrum and the target high-frequency amplitude spectrum of the narrowband signal; and obtaining a broadband signal after BWE based on the low-frequency spectrum and the high-frequency spectrum.

Bandwidth extension method and apparatus, electronic device, and computer-readable storage medium

A voice processing method includes: determining a historical voice frame corresponding to a target voice frame; determining a frequency-domain characteristic of the historical voice frame; invoking a network model to predict the frequency-domain characteristic of the historical voice frame, to obtain a parameter set of the target voice frame, the parameter set including a plurality of types of parameters, the network model including a plurality of neural networks (NNs), and a number of the types of the parameters in the parameter set being determined according to a number of the NNs; and reconstructing the target voice frame according to the parameter set.

Voice processing method, apparatus, and device and storage medium

Embodiments of this application disclose a signal transcoding method performed by an electronic device. The method includes: acquiring an encoding result of an isignal frame and encoding results respectively corresponding to first n signal frames of the isignal frame; generating forward error correction (FEC) encoding results respectively corresponding to the first n signal frames according to the encoding results respectively corresponding to the first n signal frames; and synthesizing the encoding result corresponding to the isignal frame and the FEC encoding results respectively corresponding to the first n signal frames to generate an encoded frame corresponding to the isignal frame, the encoded frame comprising a flag bit for indicating a value of n. According to this application, a quantity of FEC encoded frames included in an encoded frame can be flexibly adjusted to improve the reliability of data transmission in a poor network state.

Transcoding method and apparatus, medium, and electronic device

This disclosure relates to encoding and decoding methods and apparatuses. The method may include encoding an isignal frame, to obtain an encoded result of the isignal frame. The method may further include performing forward error correction encoding on first n signal frames, to obtain forward error correction encoded results corresponding to the first n signal frames. The first n signal frames may be signal frames located before the isignal frame. The method may further include synthesizing the encoded result of the isignal frame and the forward error correction encoded results corresponding to the first n signal frames, to obtain an iencoded frame corresponding to the isignal frame. The iencoded frame may comprise a flag bit, the flag bit may be for indicating a number n, and n may be a positive integer greater than or equal to 2.

Methods and apparatuses for encoding and decoding signal frame

Outdoor wall lamp

Embodiments of this application disclose a bandwidth extension (BWE) method and apparatus. The method is performed by an electronic device, and includes: performing a time-frequency transform on a to-be-processed narrowband signal to obtain a corresponding initial low-frequency spectrum; obtaining a correlation parameter of a high-frequency portion and a low-frequency portion of a target broadband spectrum based on the initial low-frequency spectrum by using a neural network model; obtaining an initial high-frequency spectrum based on the correlation parameter and the initial low-frequency spectrum; and obtaining a broadband signal according to a target low-frequency spectrum and a target high-frequency spectrum.

Handheld game console

Growing community of inventors

Shenzhen, China

Wei Xiao