Abstract: A method of generating an accurate speaker representation for an audio sample includes receiving a first audio sample from a first speaker and a second audio sample from a second speaker. The method includes dividing a respective audio sample into a plurality of audio slices. The method also includes, based on the plurality of slices, generating a set of candidate acoustic embeddings where each candidate acoustic embedding includes a vector representation of acoustic features. The method further includes removing a subset of the candidate acoustic embeddings from the set of candidate acoustic embeddings. The method additionally includes generating an aggregate acoustic embedding from the remaining candidate acoustic embeddings in the set of candidate acoustic embeddings after removing the subset of the candidate acoustic embeddings.

Abstract: A method for using soft physiotherapy instrument is provided. The method comprises providing a soft physiotherapy instrument comprising a flexible sheet and a controller, applying the flexible sheet of on a user's skin, and turning on the controller and selecting a function button on the controller, inputting a current to a plurality of functional layers in the flexible sheet, and stimulating user's skin with the current.

Abstract: A blockchain system for ownership verification may include one or more issuer network nodes and one or more verification network nodes. An issuer network node may be configured to receive a request including a public key to issue a credential, provision the credential to the communication device, generate a payload derived from hashing the credential and the public key, store the payload in a record of a blockchain, and synchronize the record to other network nodes on the blockchain. A verification network node may be configured to receive the credential, the public key, and a signature generated by the communication device to request access to a resource, verify the signature using the public key, generate a hash value based on the credential and the public key, determine that the hash value is stored in the blockchain, and authenticate the communication device for access to the requested resource.

Abstract: A system and method for automatic row alignment driving by a harvester when harvesting above-ground crops includes an elastic row sensing module, a processing module, a controlling module, and a steering module. The elastic row sensing module is disposed on a front grain thresher/grain isolator of the harvester, collecting data as to physical contact with the crop. The elastic row sensing module includes a deformable elastomer in contact with the high stem crop, the sensor detects and reports deformation of the elastomer. The processing module determines current alignment state of the harvester and the controlling module determines any corrective steering signal for the harvester. The steering module controls steering direction.

Abstract: A speaker verification method includes receiving audio data corresponding to an utterance, processing a first portion of the audio data that characterizes a predetermined hotword to generate a text-dependent evaluation vector, and generating one or more text-dependent confidence scores. When one of the text-dependent confidence scores satisfies a threshold, the operations include identifying a speaker of the utterance as a respective enrolled user associated with the text-dependent confidence score that satisfies the threshold and initiating performance of an action without performing speaker verification. When none of the text-dependent confidence scores satisfy the threshold, the operations include processing a second portion of the audio data that characterizes a query to generate a text-independent evaluation vector, generating one or more text-independent confidence scores, and determining whether the identity of the speaker of the utterance includes any of the enrolled users.

Abstract: Processing of acoustic features of audio data to generate one or more revised versions of the acoustic features, where each of the revised versions of the acoustic features isolates one or more utterances of a single respective human speaker. Various implementations generate the acoustic features by processing audio data using portion(s) of an automatic speech recognition system. Various implementations generate the revised acoustic features by processing the acoustic features using a mask generated by processing the acoustic features and a speaker embedding for the single human speaker using a trained voice filter model. Output generated over the trained voice filter model is processed using the automatic speech recognition system to generate a predicted text representation of the utterance(s) of the single human speaker without reconstructing the audio data.

Abstract: A computing device may be configured to receive a set of inputs from other computing devices. The set of inputs may include inputs derived by the computing devices utilizing cryptographic keys of the computing devices. The set of inputs may be stored in a blockchain such that the inputs are tamper resistant. A symmetric key may be generated (periodically, upon expiration of a timer, according to a protocol set, upon request, etc.) from two or more of the set of inputs. The generated synunetric key may be distributed to the computing devices. The symmetric key may be utilized to encrypt and decrypt communications between two computing devices.

Abstract: Methods, apparatus, electronic devices, and storage mediums fir processing face information are provided. In one aspect, a method includes: obtaining a first face image and dense point cloud data respectively corresponding to multiple second face images of a preset style; based on the first face image and the dense point cloud data respectively corresponding to the multiple second face images of the preset style, determining dense point cloud data of the first face image under the preset style; and, based on the dense point cloud data of the first face image under the preset style, generating a virtual face model of the first face image under the preset style.

Abstract: A trust token may be created including authentication data for a user and his or her associated communication device. The trust token may be transmitted by the communication device to one or more recipients, such as a token server. The recipients may interpret the trust token and verify it against data written to one or more nodes of a blockchain when the user and the communication device registered for the trust token. Once the trust token is verified, the token server may be configured to generate, maintain, and provision account tokens representing sensitive data. The token server may push one or multiple account tokens to the communication device, thereby allowing the communication device to perform transactions with the account tokens. In other words, the implementation of a trust token may allow the communication device to be provisioned with multiple account tokens, without requiring multiple logins or transmissions of sensitive data.

Abstract: The disclosure discloses a method for synthesizing N-substituted phenyl-5-hydroxymethyl-2-oxazolidinone, wherein the method comprises: reacting from raw materials, 3-R2-4-R1-aniline and epichlorohydrin, and allowing the resulting product to react under alkaline conditions in a CO2 atmosphere to obtain N-substituted phenyl-5-hydroxymethyl-2-oxazolidinone, wherein R1 is a morpholine group, a morpholin-3-one group or a piperazine group, and derivative groups thereof, and R2 is halogen, hydrogen or lower alkyl. The method provided by the disclosure has such advantages as few steps, simple operation, cheap and easily available raw materials, mild reaction conditions, and high product yield, and is especially suitable for industrial production of antibiotic linezolid intermediates and antithrombotic drug rivaroxaban intermediates.

Abstract: Described herein is a system in which an electronic record is stored on a distributed environment. In this system, a computing entity that receives an action request with respect to an account may receive or generate an electronic identifier for that account. The computing entity may then identify an electronic record comprising a number of interaction records related to the electronic identifier within the distributed environment. The computing entity is then able to request account-specific information directly from an originating entity for each of the interaction records. In some embodiments, the computing entity may separately determine a level of trust to be associated with each originating entity. In some embodiments, the computing entity may determine a risk level to be associated with an action indicated in the action request based on the received account-specific information.

Abstract: A soft physiotherapy instrument includes a flexible sheet and a controller. The flexible sheet includes a first flexible layer, a second flexible layer, a plurality of functional layers located between the first flexible layer and the second flexible layer, and a plurality of electrodes electrically connected with the plurality of functional layers. The functional layer includes a carbon nanotube layer including a plurality of carbon nanotubes uniformly distributed. The flexible sheet is electrically coupled with the controller via the plurality of electrodes. A method for using the soft physiotherapy instrument is further provided.

Abstract: A method for using beauty instrument with mask is provided. The method comprises providing a beauty instrument with mask, the beauty instrument with mask comprises a flexible mask and a controller, the flexible mask includes a plurality of functional layers, each of the plurality of functional layers includes a graphene layer. The method further comprises applying the flexible mask on a user's face, and turning on the controller and selecting a function button on the controller, inputting a current to the plurality of functional layers in the flexible mask, and stimulating face skin with the current.

Abstract: Methods and systems for training and/or using a language selection model for use in determining a particular language of a spoken utterance captured in audio data. Features of the audio data can be processed using the trained language selection model to generate a predicted probability for each of N different languages, and a particular language selected based on the generated probabilities. Speech recognition results for the particular language can be utilized responsive to selecting the particular language of the spoken utterance. Many implementations are directed to training the language selection model utilizing tuple losses in lieu of traditional cross-entropy losses. Training the language selection model utilizing the tuple losses can result in more efficient training and/or can result in a more accurate and/or robust model—thereby mitigating erroneous language selections for spoken utterances.

Abstract: A virtual avatar generation method includes: determining a target task associated with at least one target face property, where the at least one target face property is one of a plurality of predefined face properties respectively; performing, according to the target task, target face property analysis on a target image including at least a face to obtain a target face property feature associated with the target face property of the target image; determining a target virtual avatar template corresponding to the target face property feature according to predefined correspondence between face property features and virtual avatar templates; and generating a virtual avatar of the target image based on the target virtual avatar template.

Abstract: Embodiments of the invention are directed to the utilization of trust tokens to perform secure message transactions between two devices. A trust token transmitted in a message from one device may include first data that is digitally signed by a trust provider computer, and second data that is digitally signed by the device itself. Upon receipt of a message containing a trust token, the recipient may utilize the first data to verify with the trust provider computer that the sender of the message is a trusted party. The trust provider computer may provide the recipient device the public key of the sender. The recipient may utilize the second data and the provided public key to verify that the sender signed the message and that the message is unaltered. These techniques may increase detection of relay, replay, or other man-in-the-middle attacks, decreasing the likelihood that such attacks will be successful.

Abstract: Electric charges depending on values of N+ electric signals and values of corresponding positive loads are held in first capture-and-storage circuitry. Electric charges having a size depending on values of (N?N+) electric signals and corresponding absolute values of negative loads are held in second capture-and-storage circuitry. A sum of N+ multiplied values obtained by multiplying each of the positive loads by each of the values of the N+ electric signals is calculated when a voltage held in the first capture-and-storage circuitry reaches a first threshold. A sum of (N?N+) multiplied values obtained by multiplying each of the absolute values by each of the values of the (N?N+) electric signals is calculated when a voltage held in the second capture-and-storage circuitry reaches a second threshold A sum of N multiplied values is obtained by subtracting the sum of (N?N+) multiplied values from the sum of N+ multiplied values.

Abstract: A blockchain system for ownership verification may include one or more issuer network nodes and one or more verification network nodes. An issuer network node may be configured to receive a request including a public key to issue a credential, provision the credential to the communication device, generate a payload derived from hashing the credential and the public key, store the payload in a record of a blockchain, and synchronize the record to other network nodes on the blockchain. A verification network node may be configured to receive the credential, the public key, and a signature generated by the communication device to request access to a resource, verify the signature using the public key, generate a hash value based on the credential and the public key, determine that the hash value is stored in the blockchain, and authenticate the communication device for access to the requested resource.

Abstract: A computing device may be configured to receive a set of inputs from other computing devices. The set of inputs may include inputs derived by the computing devices utilizing cryptographic keys of the computing devices. The set of inputs may be stored in a blockchain such that the inputs are tamper resistant. A symmetric key may be generated (periodically, upon expiration of a timer, according to a protocol set, upon request, etc.) from two or more of the set of inputs. The generated symmetric key may be distributed to the computing devices. The symmetric key may be utilized to encrypt and decrypt communications between two computing devices.

Abstract: A trust token may be created including authentication data for a user and his or her associated communication device. The trust token may be transmitted by the communication device to one or more recipients, such as a token server. The recipients may interpret the trust token and verify it against data written to one or more nodes of a blockchain when the user and the communication device registered for the trust token. Once the trust token is verified, the token server may be configured to generate, maintain, and provision account tokens representing sensitive data. The token server may push one or multiple account tokens to the communication device, thereby allowing the communication device to perform transactions with the account tokens. In other words, the implementation of a trust token may allow the communication device to be provisioned with multiple account tokens, without requiring multiple logins or transmissions of sensitive data.