Tencent Technology (shenzhen) Company Limited

Byd Company Limited

Tencent Technology Company Limited

Yi Gao

Xiaoyu Yu

Mengsha Zhou

Jimeng Zheng

Yongjie Li

Ian Ernan Liu

Siyu Xiao

Libin Ren

Meng Yu

Min Luo

Weiwei Li

Bin Li

Cheng Luo

Wei Mao

Jiongchao Lin

Zhenzhen Xu

Yu Wang

Bin Zhang

Yong Liu

Jie Chen

Dan Su

Leteng Weng

Feng Chen

Qiang Lu

Jun Feng

Keren Li

Jinming Zhang

Chen Gong

Pengfei Wang

Qianya Lin

Xiaobin Fang

Wenrui Zhang

Yi Wu

Junbin Kuang

Xuan Ye

Shaomian Yao

Chi Xi

Sixin Gu

Jingcong Chen

Rui Tang

Xuan Ji

Wenbin Yang

Ji Meng Zheng

Duokai Huang

Tanhong Li

Haixia Rao

Zhu Chen

Zheng Dai

Wenxin Liao

Boen Liang

Zeming Fan

Weizhao Li

Leming Fang

Guowei Xiang

Xinji Nie

Bei Yang

JiangMin Zhu

Kai Xia

Hongyang Chen

This application relates to a howling suppression method and apparatus, a computer device, and a storage medium. The method includes obtaining a current audio signal corresponding to a current time period, and performing frequency domain transformation on the current audio signal; dividing the frequency domain audio signal and determining a target subband; obtaining a current howling detection result and a current voice detection result that correspond to the current audio signal, and determining a subband gain coefficient; obtaining a past subband gain corresponding to an audio signal within a past time period, and calculating a current subband gain corresponding to the current audio signal based on the subband gain coefficient and the past subband gain; and suppressing howling on the target subband based on the current subband gain, to obtain a first target audio signal corresponding to the current time period.

Howling suppression method and apparatus, computer device, and storage medium

This application discloses a method for positioning a target audio signal by a computer device. The method includes: performing echo cancellation on the audio signals collected in a plurality of directions in a space, the audio signals comprising a target-audio direct signal; obtaining weights of a plurality of time-frequency points in the echo-canceled audio signals, a weight of each time-frequency point indicating a relative proportion of the target-audio direct signal in the echo-canceled audio signals at the time-frequency point; obtaining a weighted audio signal energy distribution of the audio signals in the plurality of directions by using the weights of the plurality of time-frequency points in the echo-canceled audio signals; and obtaining a sound source azimuth corresponding to the target-audio direct signal in the audio signals by using the weighted audio signal energy distribution of the audio signals in the plurality of directions.

Audio recognition method, method, apparatus for positioning target audio, and device

An audio data processing method is provided. The method includes: obtaining multi-path audio data in an environmental space, obtaining a speech data set based on the multi-path audio data, and separately generating, in a plurality of enhancement directions, enhanced speech information corresponding to the speech data set; matching a speech hidden feature in the enhanced speech information with a target matching word, and determining an enhancement direction corresponding to the enhanced speech information having a highest degree of matching with the target matching word as a target audio direction; obtaining speech spectrum features in the enhanced speech information, and obtaining, from the speech spectrum features, a speech spectrum feature in the target audio direction; and performing speech authentication on the speech hidden feature and the speech spectrum feature that are in the target audio direction based on the target matching word, to obtain a target authentication result.

Audio data processing method for wake-up speech detection, apparatus, and storage medium

Embodiments of this application disclose method and apparatus for positioning a target audio signal by an audio interaction device, and an audio interaction device The method includes: obtaining audio signals in a plurality of directions in a space, and performing echo cancellation on the audio signal, the audio signal including a target-audio direct signal; obtaining weights of a plurality of time-frequency points in the audio signals, a weight of each time-frequency point indicating, at the time-frequency point, a relative proportion of the target-audio direct signal in the audio signals; weighting time-frequency components of the audio signal at the plurality of time-frequency points separately for each of the plurality of directions by using the weights of the plurality of time-frequency points, to obtain a weighted audio signal energy distribution; and obtaining a sound source azimuth corresponding to the target-audio direct signal in the audio signals accordingly.

Embodiments of this application discloses an azimuth estimation method performed at a computing device, the method including: obtaining, in real time, multi-channel sampling signals and buffering the multi-channel sampling signals; performing wakeup word detection on one or more sampling signals of the multi-channel sampling signals, and determining a wakeup word detection score for each channel of the one or more sampling signals; performing a spatial spectrum estimation on the buffered multi-channel sampling signals to obtain a spatial spectrum estimation result, when the wakeup word detection scores of the one or more sampling signals indicates that a wakeup word exists in the one or more sampling signals; and determining an azimuth of a target voice associated with the multi-channel sampling signals according to the spatial spectrum estimation result and a highest wakeup word detection score, thereby improving the accuracy of the azimuth estimation in a voice interaction process.

Azimuth estimation method, device, and storage medium

This application discloses a method for establishing a call connection, a first terminal, a server, and a storage medium. The method includes: obtaining, by a first terminal, a second vocoder list of a second terminal, the second vocoder list including vocoders supported by the second terminal and with corresponding priorities; determining, by the first terminal, a first vocoder with the highest priority among vocoders that exist in both a first vocoder list of the first terminal and the second vocoder list, the first vocoder list including vocoders supported by the first terminal and with corresponding priorities, and the priorities of the vocoders being positively correlated with audio frequencies in encoding and decoding of the vocoders; and requesting, by the first terminal by using the first vocoder, to establish a first call connection to the second terminal.

Method for establishing call connection, first terminal, server, and storage medium

This application discloses a sound acquisition component array, including: two first sound acquisition components, two second sound acquisition components, and two third sound acquisition components. The two second sound acquisition components are located at a first side of a line connecting the two first sound acquisition components, and the two third sound acquisition components are located at a second side of the connecting line that is opposite to the first side of the connecting line; the two second sound acquisition components are symmetrical about a perpendicular bisector of the connecting line, and the two third sound acquisition components are symmetrical about the perpendicular bisector; and a distance between the two first sound acquisition components, a distance between the two second sound acquisition components, and a distance between the two third sound acquisition components are respectively different from one another along a direction defined by the connecting line.

Sound acquisition component array and sound acquisition device

A call method is provided. The method includes: obtaining at least three paths of voice data transmitted by at least three first terminals, the voice data carrying indication information; selecting at least two paths of target voice data from the at least three paths of voice data according to the indication information of the at least three paths of voice data as obtained; and transmitting the at least two paths of target voice data to a second terminal, the second terminal being configured to decode the at least two paths of target voice data, mix decoded at least two paths of target voice data, and play mixed voice data.

Call method, apparatus, and system, server, and storage medium

A keyword detection method includes: obtaining an enhanced speech signal of a to-be-detected speech signal, the enhanced speech signal corresponding to a target speech speed; performing speed adjustment on the enhanced speech signal to obtain a first speed-adjusted speech signal having a first speech speed, the first speech speed being different from the target speech speed; obtaining a first speech feature signal according to the first speed-adjusted speech signal; obtaining a detection result according to a first keyword detection result corresponding to the first speech feature signal, the detection result indicating whether a target keyword exists in the to-be-detected speech signal; and performing an operation corresponding to the target keyword in response to determining that the target keyword exists according to the detection result.

Keyword detection method and related apparatus

Audio data processing method, apparatus and storage medium for detecting wake-up words based on multi-path audio from microphone array

A method for detecting a keyword, applied to a terminal, includes: extracting a speech eigenvector of a speech signal; obtaining, according to the speech eigenvector, a posterior probability of each target character being a key character in any keyword in an acquisition time period of the speech signal; obtaining confidences of at least two target character combinations according to the posterior probability of each target character; and determining that the speech signal includes the keyword upon determining that all the confidences of the at least two target character combinations meet a preset condition. The target character is a character in the speech signal whose pronunciation matches a pronunciation of the key character. Each target character combination includes at least one target character, and a confidence of a target character combination represents a probability of the target character combination being the keyword or a part of the keyword.

Method for detecting keyword in speech signal, terminal, and storage medium

A speech recognition method, apparatus, a computer device and an electronic device for recognizing speech. The method includes receiving an audio signal obtained by a microphone array; performing a beamforming processing on the audio signal in a plurality of target directions to obtain a plurality of beam signals; performing a speech recognition on each of the plurality of beam signals to obtain a plurality of speech recognition results corresponding to the plurality of beam signals; and determining a speech recognition result of the audio signal based on the plurality of speech recognition results of the plurality of beam signals.

Method and apparatus for speech recognition, and electronic device

After a user logs in to a client, a first request of the user is sent to a server, and after the first request is authenticated, a communication connection between the client and the server is established; a system message sent by the server is received in a user login interface to which the user has logged in; the system message is generated by the server to contain at least text-format information capable of being displayed at the client.

Text and custom format information processing method, client, server, and computer-readable storage medium

An information processing method, which is applied to a server, includes: a public message is transmitted to a first client, the public message being a message issued to the first client by the server, the public message carrying first information and a second information set including N pieces of second information, with N being a positive integer, the first information is information only allowed to be gotten by the first client and the second information is information only allowed to be gotten by a client in a sharing relationship with the first client; and a request for getting the second information is received from a second client, it is verified whether the second client is in the sharing relationship with the first client, and after the second client is determined to be in the sharing relationship with the first client, the second client is allowed to get the second information.

Information processing method, client, server and computer-readable storage medium

An association logic that associates a non-text message type with specified information is established. The association logic includes at least identification of the non-text message type, allowing a message type in line with the association logic to be identified by the identification. A first message is monitored. A first identification corresponding to the first message is obtained by analysing the first message. It is detected, according to the first identification, whether the first message is of the message type in line with the association logic. It is determined that the first message supports display of the specified information when it is detected that the first message is of the message type in line with the association logic.

Information processing method, terminal, and computer-readable storage medium

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Shenzhen, China

Yi Gao