Abstract: A method and device for voiceprint recognition, include: establishing a first-level Deep Neural Network (DNN) model based on unlabeled speech data, the unlabeled speech data containing no speaker labels and the first-level DNN model specifying a plurality of basic voiceprint features for the unlabeled speech data; obtaining a plurality of high-level voiceprint features by tuning the first-level DNN model based on labeled speech data, the labeled speech data containing speech samples with respective speaker labels, and the tuning producing a second-level DNN model specifying the plurality of high-level voiceprint features; based on the second-level DNN model, registering a respective high-level voiceprint feature sequence for a user based on a registration speech sample received from the user; and performing speaker verification for the user based on the respective high-level voiceprint feature sequence registered for the user.

Abstract: Provided is a classifier training method, including: acquiring a training sample set; determining a classification condition at a root node according to a preset classification condition feature, performing classification on training samples in the training sample set according to the classification condition at the root node, and acquiring a classification subset corresponding to a child node of the root node; using the child node of the root node as a current node, circularly implementing the step of determining a classification condition at the current node according to another preset classification condition feature, performing classification on training samples in a classification subset corresponding to the current node according to the classification condition at the current node, and acquiring a classification subset of a child node of the current node, till a leaf node; and determining a user identity classification result at the current node, and obtaining a decision tree classifier.

Abstract: An exception prompting method at a communication platform having one or more processors and memory storing programs executed by the one or more processors is disclosed. The method includes configuring a user security interface; receiving a monitoring request on a target account from a user logging in to a client terminal; forwarding the monitoring request on the target account to a security platform through a service platform; receiving an exception prompt indicating an unusual activity of the target account from the security platform; generating an alarm notification of the target account based on the exception prompt; and forwarding the alarm notification of the target account to the client terminal.

Abstract: A method of recognizing speech is provided that includes generating a decoding network that includes a primary sub-network and a classification sub-network. The primary sub-network includes a classification node corresponding to the classification sub-network. The classification sub-network corresponds to a group of uncommon words. A speech input is received and decoded by instantiating a token in the primary sub-network and passing the token through the primary network. When the token reaches the classification node, the method includes transferring the token to the classification sub-network and passing the token through the classification sub-network. When the token reaches an accept node of the classification sub-network, the method includes returning a result of the token passing through the classification sub-network to the primary sub-network. The result includes one or more words in the group of uncommon words. A string corresponding to the speech input is output that includes the one or more words.

Abstract: An electronic device with one or more processors and memory trains an acoustic model with an international phonetic alphabet (IPA) phoneme mapping collection and audio samples in different languages, where the acoustic model includes: a foreground model; and a background model. The device generates a phone decoder based on the trained acoustic model. The device collects keyword audio samples, decodes the keyword audio samples with the phone decoder to generate phoneme sequence candidates, and selects a keyword phoneme sequence from the phoneme sequence candidates. After obtaining the keyword phoneme sequence, the device detects one or more keywords in an input audio signal with the trained acoustic model, including: matching phonemic keyword portions of the input audio signal with phonemes in the keyword phoneme sequence with the foreground model; and filtering out phonemic non-keyword portions of the input audio signal with the background model.

Abstract: Methods and computer systems for audio search on a social networking platform are disclosed. The method includes: while running a social networking application, receiving a first audio input from a user of the computer system, the first audio input including one or more search keywords; generating a first audio confusion network from the first audio input; determining whether the first audio confusion network matches at least one of one or more second audio confusion networks, wherein a respective second audio confusion network was generated from a corresponding second audio input associated with a Chat session of which the user is a participant; and identifying a second audio input corresponding to the at least one second audio confusion network that matches the first audio confusion network, wherein the identified second audio input includes the one or more search keywords that are included in the first audio input.

Abstract: An oil leakage detector of the present invention includes an image processing unit wherein the image processing unit calculates the values of saturation and intensity of each pixel in the color image of the object after an ultra-violet light is irradiated thereon, draws an intensity-saturation characteristic line of the saturation expressed in an X-axis and the intensity expressed in a Y-axis, sets an upper limit and a lower limit of intensity of each saturation as a threshold value based on an area without oil adhesion on the surface of the object, and determines, in the intensity-saturation characteristic line, an area corresponding to a pixel group where the intensity exceeds the threshold value of the upper limit and a pixel group where the intensity falls below the threshold value of the lower limit, to be an oil leakage adhered area.

Abstract: A method and system for adding punctuation to a voice file is disclosed. The method includes: utilizing silence or pause duration detection to divide a voice file into a plurality of speech segments for processing, the voice file includes a plurality of features units; identifying all features units that appear in the voice file according to every term or expression and semantics features of the every term or expression that form each of the plurality of speech segments; using a linguistic model to determine a sum of weight of various punctuation modes in the voice file according to all the feature units, the linguistic model is built upon semantics features of various parsed out terms or expressions from a body text of a spoken sentence according to a language library; and adding punctuations to the voice file based on the determined sum of weight of the various punctuation modes.

Abstract: Systems and methods for sensing temperature on a chip are described herein. In one aspect, a temperature sensing system includes a sensing circuit with matching diode devices for providing corresponding diode voltages proportional to currents through the diode devices. The system also includes a digital code calculation unit for generating a plurality of digital code values based on first and second reference voltages and the diode voltages and a digital calibration engine configured for computing a calibrated temperature based on the plurality of digital codes. The system further includes a switching circuit for routing the diode voltages, during first and second times, to diode voltage input terminals of the digital code calculation unit.

Abstract: An active glove box door is provided for a vehicle passenger compartment. A plastic-molded inner door liner forms a reaction plate. A plastic-molded front trim wall deploys toward a passenger in the passenger compartment. A plastic-molded bladder member is joined along an outer perimeter with the trim wall by a hot weld seam to form an inflatable bladder. The bladder member includes at least one substantially circumferential pleat adjacent the weld seam and a central attachment region with a plurality of attachment bosses joined to the inner door liner. A skeleton member is mounted to the inner door liner between the bladder member and the inner door liner, wherein the skeleton member has a lattice structure for reducing flexing of the inner door liner. The skeleton member has at least one aperture receiving a respective attachment boss.

Abstract: A method and a device for training an acoustic language model, include: conducting word segmentation for training samples in a training corpus using an initial language model containing no word class labels, to obtain initial word segmentation data containing no word class labels; performing word class replacement for the initial word segmentation data containing no word class labels, to obtain first word segmentation data containing word class labels; using the first word segmentation data containing word class labels to train a first language model containing word class labels; using the first language model containing word class labels to conduct word segmentation for the training samples in the training corpus, to obtain second word segmentation data containing word class labels; and in accordance with the second word segmentation data meeting one or more predetermined criteria, using the second word segmentation data containing word class labels to train the acoustic language model.

Abstract: A method includes: acquiring data samples; performing categorized sentence mining in the acquired data samples to obtain categorized training samples for multiple categories; building a text classifier based on the categorized training samples; classifying the data samples using the text classifier to obtain a class vocabulary and a corpus for each category; mining the corpus for each category according to the class vocabulary for the category to obtain a respective set of high-frequency language templates; training on the templates for each category to obtain a template-based language model for the category; training on the corpus for each category to obtain a class-based language model for the category; training on the class vocabulary for each category to obtain a lexicon-based language model for the category; building a speech decoder according to an acoustic model, the class-based language model and the lexicon-based language model for any given field, and the data samples.

Abstract: The present invention relates to methods and compositions for enhancing delivery of vaccine antigens to the mucosal epithelium, the composition comprising an antigen from an infectious agent fused with an Fc fragment of an immunoglobulin recognized by the neonatal receptors (FcRn). The composition is effective in eliciting a protective long-term memory T cell immune response against infection at a distant mucosal site.

Abstract: A device and method for analog to digital conversion is disclosed. The device can have a first amplifier operable to receive an input voltage and output a first control signal. The device can also have a first voltage-controlled oscillator (VCO) operably coupled to the first amplifier and configured to output a first signal based on the first control signal, the first signal having a sensor frequency. The device can also have a first switched-capacitor resistor operably coupled to the first VCO and to the first amplifier, the first switched-capacitor resistor configured to receive and be controlled by the sensor frequency. The device can also have a sensor counter operably coupled to the first VCO and configured produce a sensor count based on the sensor frequency. The device can also have a register configured provide a digital output proportional to the input voltage based on the sensor count.

Abstract: A method and an apparatus are provided for retrieving keyword. The apparatus configures at least two types of language models in a model file, where each type of language model includes a recognition model and a corresponding decoding model; the apparatus extracts a speech feature from the to-be-processed speech data; performs language matching on the extracted speech feature by using recognition models in the model file one by one, and determines a recognition model based on a language matching rate; and determines a decoding model corresponding to the recognition model; decoding the extracted speech feature by using the determined decoding model, and obtains a word recognition result after the decoding; and matches a keyword in a keyword dictionary and the word recognition result, and outputs a matched keyword.

Abstract: A method is implemented at a computer to determine that certain information content is composed or compiled in a specific language selected among two or more similar languages. The computer integrates a first vocabulary list of a first language and a second vocabulary list of a second language into a comprehensive vocabulary list. The integrating includes analyzing the first vocabulary list in view of the second vocabulary list to identify a first vocabulary sub-list that is used in the first language, but not in the second language. The computer then identifies, in the information content, a plurality of expressions that are included in the comprehensive vocabulary list, and a subset of expressions that are included in the first vocabulary sub-list. Upon a determination that a total frequency of occurrence of the subset of expressions meets predetermined occurrence criteria, the computer determines that the information content is composed in the first language.

Abstract: An isolated power control device that includes an auxiliary isolated power circuit and a voltage level identification unit is provided. The auxiliary isolated power circuit includes a transformer module, a control module, and a switch module. The transformer module includes a primary side and a secondary side. The control module generates a switch control signal according to a primary side remote on/off control signal. The switch module is conducted according to the switch control signal to transmit an input auxiliary power signal to the primary side of the transformer module such that the auxiliary isolated power circuit generates a target voltage signal having a plurality of voltage levels. The voltage level identification unit receives the target voltage signal to output a secondary side remote on-off control signal to control a main isolated power device.

Abstract: 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.

Abstract: A method for browsing data on an electronic device includes detecting touch input on a touch display of the electronic device and determining whether a contact point of the touch input on the touch display corresponds to a designated window displayed on the touch display. When the contact point does not correspond to the designated window, a designated window displaying a corresponding interface therein is creatable at the contact point when a pressure value of the touch input is greater than or equal to a first threshold pressure value. When the contact point corresponds to the designated window, a size of the designated window is adjusted according to a pressure value of the touch input at the contact point. The designated window is closed when the pressure value of the touch input is greater than or equal to a second threshold pressure value.

Abstract: A method and an apparatus are provided for retrieving keyword. The apparatus configures at least two types of language models in a model file, where each type of language model includes a recognition model and a corresponding decoding model; the apparatus extracts a speech feature from the to-be-processed speech data; performs language matching on the extracted speech feature by using recognition models in the model file one by one, and determines a recognition model based on a language matching rate; and determines a decoding model corresponding to the recognition model; decoding the extracted speech feature by using the determined decoding model, and obtains a word recognition result after the decoding; and matches a keyword in a keyword dictionary and the word recognition result, and outputs a matched keyword.