Tencent Technology (shenzhen) Company Limited

Semiconductor Manufacturing International (shanghai) Corporation

Semiconductor Manufacturing International (beijing) Corporation

Ledvance Gmbh

Huawei Technologies Co., Limited

Tencent Technology Company Limited

Li Hui Lu

Xiang Zhang

Bo Song Chen

Shuai Yue

Feng Rao

Eryu Wang

Haibo Liu

Lu Li

Lou Li

Duling Lu

Jianxiong Ma

Jian Hua Liu

Ya Ping Wang

Po Yuan Chiang

Chun Chao Fei

Xinhui Li

Wuqiang Liao

Dadong Xie

Huajin Huang

Li Zhong Jin

Shilun Lin

Qiang Cheng

Yibin Zheng

Bo Chen

Jun Zhang

Tao Li

Cheng Zhang

Kai Xin

Jie Liu

Bo Dong Liu

Song Liu

Haibin Guo

Lei Qin

Bo Liu

Linghui Kong

Hao Ye

Qiuge Liu

Yang Song

Xilin Zhang

Wang Jiang

Jingke Leng

Hualin Wan

Xiucai Jiang

Jie Zeng

Ping Zheng

Lu Ll

Wenhua Ma

Wenchao Su

Caiyun Li

Kaiyuan Gu

Zongyao Tang

Embodiments of this application provide an audio processing method and apparatus, a vocoder, an electronic device, and a computer-readable storage medium. The audio processing method includes performing speech feature conversion on a text to obtain at least one acoustic feature frame; extracting a conditional feature corresponding to each acoustic feature frame from each acoustic feature frame of the at least one acoustic feature frame by a frame rate network; performing frequency division and time-domain down-sampling on the current frame of each acoustic feature frame to obtain n subframes corresponding to the current frame; synchronously predicting sample values corresponding to the current m adjacent sampling points on the n subframes to obtain m×n sub-prediction values; obtaining an audio prediction signal corresponding to the current frame; and performing audio synthesis on the audio prediction signal corresponding to each acoustic feature frame to obtain a target audio corresponding to the text.

Audio processing method and apparatus, vocoder, electronic device, computer-readable storage medium, and computer program product

Disclosed are an audio processing method performed by an electronic device, a non-transitory computer-readable storage medium, and a computer program product. The method includes: sampling multiple fragments of audio data of a target object to obtain reference audio data of the target object; performing audio encoding on the reference audio data of the target object to obtain a reference embedding vector of the reference audio data; performing tone-based attention processing on the reference embedding vector of the reference audio data to obtain a tone embedding vector of the target object, wherein the tone embedding vector is independent from content of the audio data; and generating audio data of a target text that conforms to a tone of the target object according to the tone embedding vector of the target object.

Audio processing method and apparatus based on artificial intelligence, device, storage medium, and computer program product

A method for printing a Zigbee install code includes reading the Zigbee install code from a Zigbee device via a radio interface and printing the Zigbee install code. The Zigbee install code can be read from the Zigbee device before or after assembly of the Zigbee device has been completed.

Method for printing a Zigbee install code and corresponding systems and devices

A speech synthesis method includes: converting a text input sequence into a text feature representation sequence; inputting the text feature representation sequence into an encoder including N encoding layers; the N encoding layers including an encoding layer Eand an encoding layer E; the encoding layer Eincluding a first multi-head self-attention network; acquiring a first attention matrix and a historical text encoded sequence outputted by the encoding layer E, and generating a second attention matrix of the encoding layer Eaccording to residual connection between the first attention matrix and the first multi-head self-attention network and the historical text encoded sequence; and generating a target text encoded sequence of the encoding layer Eaccording to the second attention matrix and the historical text encoded sequence, and generating synthesized speech data matched with the text input sequence based on the target text encoded sequence.

Speech synthesis method and apparatus, and readable storage medium

A commissioning tool for granting a network joining permit to network devices for joining a network includes a network install code generating unit for generating network install codes (NICs), a memory unit configured to save the NICs, a transmitter configured to transmit the NICs generated by the network install code generating unit to network devices and a network coordinating device. The commissioning tool also includes a user inter-face configured to receive user commands to transmit the NICs generated by the network install code generation unit, and a network control unit, the network control unit being in functional communication with the memory unit, the transmitter and the user interface. The network control unit is configured to instruct the transmitter to transmit the NICs upon receiving a command from the user over the user interface.

Apparatuses and method for granting a permit to network devices for joining a network

A method for joining a Zigbee device to a Zigbee network, includes starting a Zigbee protocol stack and a Bluetooth protocol stack on the Zigbee device, sending out Zigbee requests to seek for Zigbee networks, sending out Bluetooth beacon messages containing a Zigbee install code, wherein the Zigbee requests and the Bluetooth beacon messages are sent out in a time division multiplex manner.

Method for joining a Zigbee device to a Zigbee network and corresponding Zigbee device

A speech recognition method includes: obtaining speech information; and determining beginning and ending positions of a candidate speech segment in the speech information by using a weighted finite state transducer (WFST) network. The candidate speech segment is identified as corresponding to a preset keyword. The method also includes clipping the candidate speech segment from the speech information according to the beginning and ending positions of the candidate speech segment; detecting whether the candidate speech segment includes a preset keyword by using a machine learning model; and determining, upon determining that the candidate speech segment comprises the preset keyword, that the speech information comprises the preset keyword.

Speech recognition method, apparatus, and device, and storage medium

A method for fabricating a semiconductor structure is provided. The method includes forming a semiconductor chip; providing a printed circuit board; and forming an adhesive layer between a connection surface of the semiconductor chip and the printed circuit board to bond the semiconductor chip with the printed circuit board. The semiconductor chip includes a plurality of cutting tracks intersected with each other to enclose an area having corner regions. The connection surface of the semiconductor chip includes a plurality of conductive bumps and a plurality of first openings are formed in each of the corner regions.

Semiconductor chip fabrication and packaging methods thereof

A speech recognition method is provided. The method includes: obtaining a voice signal; processing the voice signal according to a speech recognition algorithm to obtain n candidate recognition results, the candidate recognition results including text information corresponding to the voice signal; identifying a target result from among the n candidate recognition results according to a selection rule selected from among m selection rules, the selection rule having an execution sequence of j, the target result being a candidate recognition result that has a highest matching degree with the voice signal in the n candidate recognition results, an initial value of j being 1; and identifying the target result from among the n candidate recognition results according to a selection rule having an execution sequence of j+1 based on the target result not being identified according to the selection rule having the execution sequence of j.

Speech recognition method and apparatus, and storage medium

Method for fabricating A packaging structure is provided. The packaging structure includes a base substrate including a solder pad body region and a trench region adjacent to and around the solder pad body region. The packaging structure includes a passivation layer on the base substrate and exposing the solder pad body region and the trench region. The packaging structure includes a main body solder pad on the solder pad body region of the base substrate, and one or more trenches on the trench region of the base substrate and between the passivation layer and the main body solder pad. The packaging structure includes a bonding conductive wire having one end connected to the main body solder pad.

Fabrication method of packaging structure

A method is performed at a computer for automatically correcting typographical errors. The computer selects a target word in a target sentence and identifies a target word therein as having a typographical error and first and second sequences of words separated by the target word as context. After identifying, among a database of grammatically correct sentences, a set of sentences having the first and second sequences of words, each sentence including a replacement word, the computer selects a set of candidate grammatically correct sentences whose corresponding replacement words have similarities to the target word above a pre-set threshold, Finally, the computer chooses, among the set of candidate grammatically correct sentences, a fittest grammatically correct sentence according to a linguistic model and replaces the target word in the target sentence with the replacement word within the fittest grammatically correct sentence.

Model-based automatic correction of typographical errors

A method for fabricating a semiconductor structure includes forming a semiconductor chip. Forming the semiconductor chip includes providing a substrate, forming a connection layer on the substrate, and forming a first passivation layer on the substrate. The first passivation layer contains a plurality of first openings to expose the connection layer. Forming the semiconductor chip also includes forming a plurality of second openings and a plurality of third openings in the second passivation layer. Each second opening is formed in a first opening to expose the connection layer, and each third opening is formed outside of the plurality of first openings to expose the first passivation layer. Further, forming the semiconductor chip includes forming a conductive bump in each second opening.

Semiconductor chip, and fabrication and packaging methods thereof

Methods and computer systems for audio search on a social networking platform are disclosed. While running a social networking application, a computer system receives a first audio input from a user of the computer system and then generates a first audio confusion network from the first audio input. After comparing the first audio confusion network with one or more second audio confusion networks, each corresponding to a second audio input associated with one of a plurality of participants of a chat session of the social networking application, the computer system identifies at least one second audio input corresponding to the at least one second audio confusion network that matches the first audio confusion network and displays a portion of the chat session including a visual icon representing the identified second audio input on a display of the computer system.

Method and computer system for performing audio search on a social networking platform

A packaging structure and a method for fabricating the packaging structure are provided. The packaging structure includes a base substrate including a solder pad body region and a trench region adjacent to and around the solder pad body region. The packaging structure also includes a passivation layer on a surface of the base substrate and exposing the solder pad body region and the trench region. In addition, the packaging structure includes a main body solder pad on the solder pad body region of the base substrate, and one or more trenches on the trench region of the base substrate and between the passivation layer and the main body solder pad. Further, the packaging structure includes a bonding conductive wire having one end connected to the main body solder pad.

Packaging structure and fabrication method thereof

The present application discloses a method, an electronic system and a non-transitory computer readable storage medium for recognizing audio commands in an electronic device. The electronic device obtains audio data based on an audio signal provided by a user and extracts characteristic audio fingerprint features from the audio data. The electronic device further determines whether the corresponding audio signal is generated by an authorized user by comparing the characteristic audio fingerprint features with an audio fingerprint model for the authorized user and with a universal background model that represents user-independent audio fingerprint features, respectively. When the corresponding audio signal is generated by the authorized user of the electronic device, an audio command is extracted from the audio data, and an operation is performed according to the audio command.

Systems and methods for audio command recognition with speaker authentication

Growing community of inventors

Shanghai, China

Li Hui Lu