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47results about How to "Effective memory" patented technology

Speech synthesis method, device and equipment and storage medium

The invention provides a speech synthesis method, device and equipment and a storage medium. The method comprises the steps that obtained text information is preprocessed through a speech synthesis device, and a text vector of the text information is obtained; the text vector is input into a preset acoustic model, and a first acoustic parameter vector corresponding to the text vector is obtained,wherein the acoustic model is used for processing the text vector according to a memory matrix to obtain the first acoustic parameter vector; speech information corresponding to the text message is synthesized according to the first acoustic parameter vector. Due to the fact that the memory matrix is updated continuously in the acoustic model, historical text information is memorized more effectively, the overall prediction effect of the acoustic model is improved, and then the output quality of the speech information is improved.
Owner:BEIJING XIAOMI MOBILE SOFTWARE CO LTD

GRU based recurrent neural network multi-label learning method

The invention provides a GRU based recurrent neural network multi-label learning method, which comprises the steps of S1, initializing a system parameter [theta]=(W, U, B); S2, inputting a sample {xi,yi}<i=1><N>, calculating a hidden state hT of the output of an RNN (Recurrent Neural Network) at each moment, wherein the sample xi belongs to R<M*1>, yi is a multi-label vector of the sample xi, andyi belongs to R<C*1>; S3, calculating a context vector hT and output zi of an output layer; S4, calculating the predicted output yi^, calculating the loss Li, and determining an objective function J;S5, solving the gradient of the system parameter [theta]=(W, U, B) according to a gradient descent method and a BPTT (Back-propagation Through Time) algorithm; S6, determining a learning rate [eta],and updating each weight gradient W=W-[eta]*[delta]W; S7, judging whether the neural network reaches stable or not, if so, executing a step S8, if not, returning the step S2, and iteratively updatingmodel parameters; and S8, outputting an optimization model. According to the invention, effective feature representation of the sample can be obtained by fully utilizing the RNN so as to improve the accuracy of multi-label classification. In addition, a problem of gradient disappearance is not easy to occur in back propagation.
Owner:HRG INT INST FOR RES & INNOVATION

Water body water quality prediction method, system and device

The invention provides a water body water quality prediction method, system and device. The method comprises the following steps that: independently carrying out missing data processing and normalization processing on multiple groups of water quality parameters of a target water body and a corresponding meteorological parameter to obtain a standard meteorological parameter and a standard water quality parameter; and on the basis of the standard meteorological parameter and the standard water quality parameter, utilizing a trained autoencoder and a long short term memory network fusion prediction model to obtain the prediction water quality index of the target water body, wherein the long short term memory network fusion prediction model is obtained in a way that the standard meteorologicalparameter and the corersponding standard water quality parameter of the target water body are utilized in advance to train the constructed autoencoder and long short term memory network fusion prediction model in sequence. By use of the method, a mutual function relationship among water body multiple parameters can be effectively mined so as to effectively predict the water body water quality anddisclose the key rule of a water quality factor change.
Owner:CHINA AGRI UNIV

Method for modulating listener attention toward synthetic formant transition cues in speech stimuli for training

ActiveUS20070054249A1Improve “ noisy ” sensory representationShorten time constantReadingElectrical appliancesNormal speechConsonant
A method on a computing device for enhancing the memory and cognitive ability of an older adult by requiring the adult to differentiate between rapidly presented stimuli. The method utilizes a sequence of phonemes from a confusable pair which are systematically manipulated to make discrimination between the phonemes less difficult or more difficult based on the success of the adult, such as processing the consonant and vowel portions of the phonemes by emphasizing the portions, stretching the portions, and / or separating the consonant and vowel portions by time intervals. As the adult improves in auditory processing, the discriminations are made progressively more difficult by reducing the amount of processing to that of normal speech. Introductory phonemes may each include a blend of a formant-synthesized phoneme and an acoustically naturalistic phoneme that substantially replicates the spectro-temporal aspects of a naturally produced phoneme, with the blends progressing from substantially natural-sounding to substantially formant-synthesized.
Owner:POSIT SCI CORP

Building energy consumption prediction method and system based on improved LSTM

The invention discloses a building energy consumption prediction method and system based on an improved LSTM. The method comprises the following steps: obtaining an optimal parameter corresponding to an LSTM neural network; introducing the optimal parameters into the LSTM variant neural network, optimizing hyper-parameters in the LSTM variant neural network by using a stochastic gradient optimization algorithm based on weight attenuation to obtain optimal hyper-parameters of the LSTM variant neural network, and taking the LSTM variant neural network corresponding to the optimal hyper-parameters as an optimal LSTM prediction model; and processing the acquired data influencing the building load by using the optimal LSTM prediction model, and predicting the load data of the building at specified time to realize building energy consumption prediction. The method is higher in prediction precision, better in stability and more suitable for commercial building short-term energy consumption prediction.
Owner:XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY

Social short text sentiment classification method and device and storage medium

ActiveCN112214601AImproving the performance of sentiment polarity analysisComprehensive and varied descriptionData processing applicationsSemantic analysisClassification methodsEmotion classification
The invention discloses a social short text sentiment classification method and device and a storage medium, and the method comprises the steps: obtaining a text published by a user when the sentimenttendency of a social short text is automatically analyzed and mined; then extracting and calculating a text context sentiment feature value and a priori polarity sentiment feature value; using pre-training word vector models such as word2Vec and the like for training text word vector representation; using multi-window convolution operation for obtaining text semantic relations of different granularities; using a multi-head self-attention network for effectively capturing and memorizing text long-distance context semantic information, and avoiding the problem that a recurrent neural network cannot conduct parallel computing; using multi-layer convolution and pooling combination for abstracting text sentiment semantic representation from different levels; and finally combining sentiment feature vector representation of different levels, so that explicit and implicit sentiment semantic features contained in the text can be described more comprehensively and diverse, and the performance of short text sentiment polarity analysis is improved.
Owner:XIAMEN MEIYA PICO INFORMATION

Storage cabinet door opening and closing control circuit and intelligent cabinet door opening and closing storage cabinet

The invention discloses a storage cabinet door opening and closing control circuit and an intelligent cabinet door opening and closing storage cabinet. The circuit comprises a power module used for dividing electric supply into three paths including touch switch power input, control circuit power input and motor power input. The touch switch power input is connected with a touch switch module used for sending cabinet door opening or closing signals. The control circuit power input is connected with a programmable control module used for receiving the cabinet door opening/closing signals and outputting motor forward rotation or reverse rotation signals. The motor power input is connected with a storage cabinet motor and a direction switch module. The direction switch module is used for controlling the motor to forwards rotate or reversely rotate according to the motor forward rotation or reverse rotation signals so that a cabinet door can be driven to be folded, ascend and be opened or to be unfolded, descend and be closed. The cabinet door of the intelligent cabinet door opening and closing storage cabinet can be intelligently folded and opened and unfolded and closed, and automatic position memorizing, intelligent jamming protection and other intelligent control can be achieved.
Owner:CMECH (GUANGZHOU) INDUSTRIAL LTD

Method and device for searching and displaying data

The invention relates to a method and a device for searching and displaying data, which, when searching and displaying data according to the content input by a user, display a part of components of the searched data and then display the other components corresponding to the part of components after a selected time. The device for searching and displaying data comprises a user data input device, a data display device, a storage, a data searching device and a database, wherein the user data input device is in unilateral connection with the storage and is used for receiving the data input by the user; the storage is in unilateral connection with the data display device, is in bidirectional connection with the data searching device and is used for temporarily storing the data input by the user; the data searching device unilaterally receives information from the database; and the database is used for storing the data with different sequence numbers respectively.
Owner:林亨泽

A storage cabinet door switch control circuit, and an intelligent cabinet door switch storage cabinet

The invention discloses a storage cabinet door opening and closing control circuit and an intelligent cabinet door opening and closing storage cabinet. The circuit comprises a power module used for dividing electric supply into three paths including touch switch power input, control circuit power input and motor power input. The touch switch power input is connected with a touch switch module used for sending cabinet door opening or closing signals. The control circuit power input is connected with a programmable control module used for receiving the cabinet door opening / closing signals and outputting motor forward rotation or reverse rotation signals. The motor power input is connected with a storage cabinet motor and a direction switch module. The direction switch module is used for controlling the motor to forwards rotate or reversely rotate according to the motor forward rotation or reverse rotation signals so that a cabinet door can be driven to be folded, ascend and be opened or to be unfolded, descend and be closed. The cabinet door of the intelligent cabinet door opening and closing storage cabinet can be intelligently folded and opened and unfolded and closed, and automatic position memorizing, intelligent jamming protection and other intelligent control can be achieved.
Owner:CMECH (GUANGZHOU) INDUSTRIAL LTD

Detection method of sarcastic sentences in microblog comments involved in dynamic memory case descriptions

The invention relates to a method for detecting sarcastic sentences of microblog comments involved in dynamic memory case descriptions, and belongs to the technical field of natural language processing. The invention includes the steps of: constructing a satirical data set of microblog involved in the case; using word embedding and position embedding to respectively carry out feature encoding on the text of the microblog involved and the comments on the microblog involved, and introducing an attention mechanism into the microblog comment involved after the feature encoding; Through the dynamic memory mechanism, the text representation related to the microblog comments involved in the case is obtained; the obtained text representation and the comment representation are spliced ​​to obtain a new representation, and the representation is used as an input to train the model, and the model is used to detect the sarcasm of the microblog comments involved in the case. The present invention realizes the irony detection of the comment sentences involved in the case by taking the case description information as the background information, and detects the irony sentences from the obtained public opinion data, which provides support for the subsequent sentiment analysis.
Owner:KUNMING UNIV OF SCI & TECH
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