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: An automatic speech recognition method includes at a computer having one or more processors and memory for storing one or more programs to be executed by the processors, obtaining a plurality of speech corpus categories through classifying and calculating raw speech corpus; obtaining a plurality of classified language models that respectively correspond to the plurality of speech corpus categories through a language model training applied on each speech corpus category; obtaining an interpolation language model through implementing a weighted interpolation on each classified language model and merging the interpolated plurality of classified language models; constructing a decoding resource in accordance with an acoustic model and the interpolation language model; and decoding input speech using the decoding resource, and outputting a character string with a highest probability as a recognition result of the input speech.

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: A video chatting method and system are provided. The method and system describe collection of facial vector data, audio data, and interactive motion information of a user of a first client. The collected data may be transmitted to a second client. The second client, in turn, may generate a virtual avatar model of the user of the first client based on the received data. The second client may further display the virtual model, play sound in the audio data. The second client may also render the interactive motion information and facial data information of a user of the second client, and generate and display a virtual avatar model of the user of the second client. The provided method and system may decreases amount of data that may be transferred over the network. This may allow data transmission rate during video communication to be high enough for a smooth operation.

Abstract: The present invention relates to an Sb—Te—Ti phase-change thin-film material applicable to a phase-change memory and preparation thereof. The Sb—Te—Ti phase-change memory material of the present invention is formed by doping an Sb—Te phase-change material with Ti, Ti forms bonds with both Sb and Te, and the Sb—Te—Ti phase-change memory material has a chemical formula SbxTeyTi100-x-y, where 0<x<80 and 0<y<100-x. When the Sb—Te—Ti phase-change memory material is a Ti—Sb2Te3 phase-change memory material, Ti atoms replace Sb atoms, and phase separation does not occur. In a crystallization process of an Sb—Te phase-change material in the prior art, gain growth dominates, so the phase change rate is high, but the retention cannot meet industrial requirements.

Abstract: Described is a new stand-alone diguanylate cyclase polypeptide having a GGDEF motif and a mutated I-site that does not bind c-di-GMP. We demonstrate that the production yield of c-di-GMP and analogues was significantly increased by mutation of a conserved residue in the putative regulatory I-site.

Abstract: Keratin and derivatives thereof, preferably S-sulfonated keratin intermediate filament protein, S-sulfonated keratin high sulfur protein, and S-sulfonated peptides provide antioxidant activity, e.g., that equal to 200-2200 ?mol TEAC/100 g or 100 ml, and are useful in an oral supplement to cause reduction in oxidative stress and benefits stemming therefrom, e.g., promoting skin health and to provide anti-inflammatory effect.

Abstract: Keratin and derivatives thereof, preferably S-sulfonated keratin intermediate filament protein, S-sulfonated keratin high sulfur protein, and S-sulfonated peptides provide antioxidant activity, e.g., that equal to 200-2200 ?mol TEAC/100 g or 100 ml, and are useful in an oral supplement to cause reduction in oxidative stress and benefits stemming therefrom, e.g., promoting skin health and to provide anti-inflammatory effect.