Abstract: A computer-readable recording medium stores therein a computer program. The computer program causes a computer to execute a process including: carrying out simulation computation of a simulation in which a conveyed object and a conveying device are arranged in a three-dimensional simulation space, the conveying device moving the conveyed object by pushing the conveyed object with a pushing surface of a pusher or lifting the conveyed object by supporting the conveyed object from below with a supporting surface of a lifter, and in which the conveying device conveys the conveyed object; and rotating, to carry out the simulation computation, the conveyed object around a predetermined reference point of the conveyed object when a distance between coordinates of the pushing surface of the pusher or coordinates of the supporting surface of the lifter and coordinates of the predetermined reference point is made equal to or smaller than a predetermined distance.

Abstract: A state of a particle which was in a liquid state at a first time is calculated at a second time after the first time when a continuum including a liquid and a solid is represented by the plurality of particles. It is determined whether the particle has become a first solid particle at the second time. The first solid particle and all particles belonging to a solid which includes a second solid particle arranged in a predetermined range from the first solid particle are defined as particles belonging to the same solid when it is determined that the particle which was in the liquid state at the first time has become the first solid particle at the second time. The state of each of the particles belonging to the same solid is calculated using an equation of motion of a rigid body.

Abstract: A simulation device includes a deformation unit and a calculation unit. The deformation unit deforms a spherical potential region of each of a plurality of particles when a deformable continuum is represented by the plurality of particles into an ellipsoidal potential region based on the amount of deformation of each of the plurality of particles. The calculation unit calculates reaction force between the particles based on the potential region of each of the plurality of particles deformed into the ellipsoidal shape.

Abstract: The system and method described herein describe using a cross-linkable re-entrant software instances or routine to create software for modeling reactive transport. An arbitrary number of instances of such a routine may be launched and operated independently of each other and each instance of such a routine may be cross linkable. Each instance may access the memory space of other instances. Once one instance of a routine is linked to another instance, the instances may compute the rate at which mass and heat energy move from the first to the second, or vice versa. The system may model of a broad range of problems involving chemical reactions within systems that contain a mobile phase or phases.

Abstract: It is intended to provide a drug delivery system which makes it possible to solve the existing technical problems and is easily usable in practice. A drug, which comprises an organic compound or an inorganic compound and has been magnetized by modifying a side chain and/or crosslinking side chains, is induced by a magnetic force into target tissues or an affected part.

Abstract: An analyzing device includes: a particle definition unit configured to define a system including a plurality of particles in a virtual space; a constraint assigning unit configured to assign a constraint to the system defined by the particle definition unit so as to present a flow; and a numerical computation unit configured to numerically compute a governing equation that governs the motion of each particle of the particle system to which the constraint is assigned by the constraint assigning unit. The numerical computation unit identifies particles linked with a disturbance source of the flow. The analyzing device further includes display control unit configured to display identified particles on a display in a mode different from that of the other particles.

Abstract: An aspect of handling a plurality of simulated models includes receiving from a first simulation model a stream of source data and determining data processing compatibility between the the simulation model and a second-simulation model by i) obtaining metadata relating to the first-simulation models from a memory and ii) obtaining metadata relating to the second simulation model from the memory. An aspect also includes generating a transformation component using a schema mapping tool for providing compatibility between the first and second simulation models upon a determination that the compatibility does not exist between the two models. The—transformation component is generated—using the metadata relating to the first and second simulation models. The method also includes generating a—stream of target data by the second simulation model via the transformation component. The second simulation model uses the stream of source data as input.

Abstract: An aspect of combining simulation models includes a processor configured to process information relating to a plurality of simulated models. The processor collects the information to be processed related to the simulated models in at least one memory having metadata relating to the simulated models. The processor has a transformation component generated using a schema mapping tool. The transformation component detects and corrects any incompatibility between a first and a second simulation model by obtaining metadata relating to the first simulation model and the second simulation model from the memory.

Abstract: A computing method for a simulation in which an article, a conveyor, and a table are plotted in a three dimensional simulated space, and in which the conveyor conveys the article includes setting a priority representing a degree at which the lifter is handled as a single unit as the article higher than another priority representing a degree at which the table is handled as a single unit as the article when the lifter moves the article placed on the table upwardly, and setting the priority representing a degree at which the lifter is handled as a single unit as the article lower than the priority representing a degree at which the table is handled as a single unit as the article when the lifter conveying the article moves downwardly below the table.

Abstract: A process for generating test items comprising a templated approach through the use of cognitive modeling and item modeling.

Abstract: Systems and methods for dynamically visualizing fluid velocity in subsurface reservoirs by displaying a particle at different locations on a streamline that represents a fluid path and a fluid velocity in the subsurface reservoir. The systems and methods may be used to display the actual fluid velocity or a proportionate fluid velocity for a respective streamline at predetermined incremental time steps.

Abstract: A method, apparatus and program product utilize a constrained optimization framework to generate a well placement plan based on a reservoir model. Candidate well placement plans are generated from control vectors proposed by an optimization engine to optimize based upon an objective function that generally involves an access to a reservoir simulator. Inexpensive constraints that are not based on computation of the objective function are evaluated prior to accessing the reservoir simulator to avoid unnecessary accesses to the reservoir simulator for candidate well placement plans determined to be infeasible in view of the inexpensive constraints. For candidate well placement plans that are determined to be feasible based upon the inexpensive constraints, the objective function may be calculated and additional expensive constraints may thereafter be evaluated to further determine the feasibility of candidate well placement plans.

Abstract: System and method for implementing a reservoir simulation system are described. One embodiment is a computer-implemented method of coarsening a fine grid including a plurality of fine gridblocks, the fine grid representing a geological model having at least one discontinuity therein. The method comprises grouping a number of fine gridblocks together to form coarse gridblocks, wherein at least one of the coarse gridblocks is a nonstandard-shaped gridblock; and calculating a transmissibility for each pair of adjacent coarse gridblocks in which at least one gridblock of the coarse gridblock pair is a nonstandard-shaped gridblock. The calculating comprises calculating a transmissibility for each pair of adjacent fine gridblocks; mapping each of the fine gridblock pairs to a coarse gridblock pair; and for each gridblock pair, summing the transmissiblities of the fine gridblock pairs mapped thereto.

Abstract: A biological simulation method of causing a computer to execute following steps. Firstly, the computer calculates states of a plurality of actins and states of a plurality of myosins in a sarcomere contained in a muscle of a biological body using a model that defines a plurality of states of the actins and a plurality of states of the myosins and transition rates between the states. Secondly, the computer calculates behaviors of the respective actins and behaviors of the respective myosins based on the states of the actins and the states of the myosins, respectively. Thirdly, the computer calculates a behavior of the sarcomere based on the behaviors of the actins and the behaviors of the myosins. Fourthly, the computer calculates a behavior of the muscle based on the behavior of the sarcomere.

Abstract: A biological simulation method includes calculating a behavior of a material contained in a cell of an organ of a biological body, calculating a behavior of the cell based on the calculated behavior of the material, calculating a behavior of the organ based on the calculated behavior of the cell, reflecting the calculated behavior of the organ to the behavior of the cell, and reflecting the behavior of the cell to which the behavior of the organ has been reflected to the behavior of the material.

Abstract: The present invention provides methods for rapidly and efficiently searching biologically-related data space. More specifically, the present invention provides methods for identifying bio-molecules with desired properties, or which are most suitable for acquiring such properties, from complex bio-molecule libraries or sets of such libraries. The present invention also provides methods for modeling sequence-activity relationships, including but not limited to stepwise addition or subtraction techniques, Bayesian regression, ensemble regression and other methods. The present invention further provides digital systems and software for performing the methods provided herein.

Abstract: A cloud computing system according to various embodiments can include a computing cloud comprising at least one processing unit and at least one database and a plurality of users in communication with the computing cloud. The computing cloud is configured to receive a request to select a product and define a model of an infrastructure system associated with the selected product. The computing cloud generates a first model of the infrastructure system including a first control system, and generates a second model of the infrastructure system including a second control system. The cloud computing simulates a first control operations of the first model of the infrastructure system in operation with the first control system and simulates a second control operations of the second model of the infrastructure system in operation with the second control system. The cloud computing compares results of the first and second control operations.

Abstract: Disclosed herein are an apparatus and method of performing distributed simulation. In the method of performing distributed simulation, a simulation time provision apparatus sets global simulation times synchronized with real times based on the real times. The simulation time provision apparatus distributes the set global simulation times over distributed simulators. Each of the distributed simulators adjusts the interval between local simulation times, during which the continuous or discrete elements of an allocated one of subsystem models that model subsystems forming a hybrid system will be analyzed, based on the global simulation times. The distributed simulator performs simulation to analyze the continuous or discrete elements of the subsystem model during a period corresponding to the adjusted interval between the local simulation times.

Abstract: A simulation device capable of executing a proper simulation without changing a program, while the definition of virtual peripheral equipment and/or a PLC is not necessary. A signal status setting file, which is separated from a robot program, can be executed in parallel with the program, and includes a command for setting or changing a signal status described corresponding to a line in execution of the program, wherein the status is referenced by executing the line of the program. For example, a command of the file, described corresponding to a fifth line of the robot program, commands inputting a signal which indicates that the opening motion of a door is completed. Therefore, when the simulation is executed, in synchronization with the line in execution of the program, the setting or changing of the signal status, described corresponding to the line in execution, is performed.

Abstract: Systems and methods for segmenting an impedance matching model are described. One of the methods includes receiving the impedance matching model. The impedance matching model represents an impedance matching circuit, which is coupled to an RF generator via an RF cable and to a plasma chamber via an RF transmission line. The method further includes segmenting the impedance matching model into two or more modules of a first set. Each module includes a series circuit and a shunt circuit. The shunt circuit is coupled to the series circuit. The series circuit of the first module is coupled to a cable model and the series circuit of the second module is coupled to an RF transmission model. The series circuit and the shunt circuit of the first module are coupled to the series circuit of the second module. The shunt circuit of the second module is coupled to the RF transmission model.

Abstract: A method, system and computer program product for creation of specification properties for a visual model of a system. The specification properties are useful for verification of a verification model corresponding to the visual model. The computer-implemented method comprising automatically generating, by a processor, a specification property for a verification model based on a selection by a user of at least one element in a visual model, wherein the visual model defines a computerized system, wherein the verification model corresponds to the visual model.

Abstract: Rejection sampling is performed to acquire at least one target language translation for a source language string s in accordance with a phrase-based statistical translation model p(x)=p(t, a|s) where t is a candidate translation, a is a candidate alignment comprising a biphrase sequence generating the candidate translation t, and x is a sequence representing the candidate alignment a. The rejection sampling uses a proposal distribution comprising a weighted finite state automaton (WFSA) q(n) that is refined responsive to rejection of a sample x* obtained in a current iteration of the rejection sampling to generate a refined WFSA q(n+1) for use in a next iteration of the rejection sampling. The refined WFSA q(n+1) is selected to satisfy the criteria p(x)?q(n+1)(x)?q(n)(x) for all x?X and q(n+1)(x*)<q(n)(x*) where the space X is the set of sequences x corresponding to candidate alignments a that generate candidate translations t for the source language string s.

Abstract: A system that incorporates teachings of the subject disclosure may include, for example, receiving a graphical representation of an object surface having a number of inscriptions indicative of information encoded upon the object surface. The graphical representation of the object surface is transcribed by the system to determine markings from the inscriptions. A number of alternative corresponding symbols are determined by the system. The alternative corresponding cuneiform symbols are determined from a number of the markings. A number of alternative transliterations are determined by the system. The alternative transliterations are determined from of a symbol of the multiple alternative corresponding symbols. A number of alternative translations are also determined by the system of a transliteration of the multiple translations transliterations. Other embodiments are disclosed.

Abstract: A system and method to translate natural language descriptions to programs in a domain-specific language for spreadsheets. The method includes generating a model of a spreadsheet. The model includes a column description for each column, and one or more types associated with each column The method also includes normalizing the description by removing stop words, and replacing parts that match column names or data values by parameterized place-holders. The method involves applying rule-based translation along with keyword or type-based program synthesis in an inter-leaved, bottom-up manner and dynamic programming style, where phrases are mapped to sub-programs in increasing order of their length. The rules describe how to map a specific partial natural language phrase into a partial sub-program. Also, the method includes generating a number of potential programs and ranking the programs to sequence them according to their intended likelihood.

Abstract: Techniques for automatic language recognition are provided. A device having an interfaced microphone detects conversations occurring in proximity to the device. The conversations are resolved to a specific spoken language. Information communicated from or on the device is then updated to be consistent with the spoken language. This language transition for the device is achieved automatically and without any affirmative action on the part of a user or administrator associated with the device.

Abstract: A computer-implemented method is performed at a device having one or more processors and memory storing programs executed by the one or more processors. The method comprises: selecting a target word in a target sentence; from the target sentence, acquiring a first sequence of words that precede the target word and a second sequence of words that succeed the target word; from a sentence database, searching and acquiring a group of words, each of which separates the first sequence of words from the second sequence of words in a sentence; creating a candidate sentence for each of the candidate words by replacing the target word in the target sentence with each of the candidate words; determining the fittest sentence among the candidate sentences according to a linguistic model; and suggesting the candidate word within the fittest sentence as a correction.

Abstract: A method is provided in one example embodiment and includes extracting sentences from data, which comprises a speech transcript; tokenizing the plurality of sentences to develop for each of the plurality of sentences a sentence vector and at least one feature vector; and performing topic segmentation on the speech transcript using the sentence vectors and feature vectors, the topic segmentation resulting in a listing of segments corresponding to the speech transcript. In certain embodiments, the feature vector may be at least one of a cue word feature vector, a speaker change feature vector, and a scene change feature vector.

Abstract: Systems and methods for improving communication over a network are provided. A system for improving communication over a network, comprises a detection module capable of detecting data indicating a problem with a communication between at least two participants communicating via communication devices over the network, a management module capable of analyzing the data to determine whether a participant is dissatisfied with the communication, wherein the management module includes a determining module capable of determining that the participant is dissatisfied, and identifying an event causing the dissatisfaction, and a resolution module capable of providing a solution for eliminating the problem.

Abstract: An example of identifying tasks and commitments can include receiving a communication message. A task and a parameter can be identified in the communication message. Information related to the task can be extracted from the communication message using natural language processing (NLP) and machine learning (ML). A commitment related to the task can be identified using NLP extracted information. A state of the commitment can be identified using NLP and ML based on the extracted information.

Abstract: A computing device determines, based at least in part on indications of user input, scores for a first set of candidate strings and a second set of candidate strings. Each candidate string from the first set of candidate strings is in a lexicon. Candidate strings from the second set of candidate strings are not necessarily in the lexicon. The computing device determines the scores for the first set of candidate strings based on probabilities of the candidate strings being entered. For each candidate string from the second set of candidate strings, the computing device determines the scores for the candidate string based on probabilities of characters of the candidate string being entered. The computing device selects a candidate string based on the scores for the first and second sets of candidate strings and outputs, for display at the display device, the selected candidate string.

Abstract: A method of processing information content based on a language model is performed at a computer, the method including the following steps: identifying a plurality of expressions in the information content that is queued to be processed; dividing the plurality of expressions into a plurality of characteristic units according to semantic features and predetermined characteristics associated with each of the plurality of characteristic units, each characteristic unit including a subset of the plurality of expressions and the predetermined characteristics at least including a respective integer number of expressions that are included in the characteristic unit; extracting, from the language model, a plurality of probabilities for a plurality of punctuation marks associated with each of the plurality of characteristic units; and in accordance with the extracted probabilities, associating a respective punctuation mark with each of the plurality of characteristic units included in the information content.

Abstract: Methods and systems for keyword spotting, i.e., for identifying textual phrases of interest in input data. In the embodiments described herein, the input data comprises communication packets exchanged in a communication network. The disclosed keyword spotting techniques can be used, for example, in applications such as Data Leakage Prevention (DLP), Intrusion Detection Systems (IDS) or Intrusion Prevention Systems (IPS), and spam e-mail detection. A keyword spotting system holds a dictionary of textual phrases for searching input data. In a communication analytics system, for example, the dictionary defines textual phrases to be located in communication packets—such as e-mail addresses or Uniform Resource Locators (URLs).

Abstract: A method, apparatus and article of manufacture for analyzing product or service reviews is disclosed. In one embodiment, the method comprises the steps of performing a demographic text analysis on a product or service review generated by a reviewer, wherein the demographic text analysis examines the product or service review to determine demographic information of the reviewer. A sentiment text analysis is performed on the product or service review, wherein the sentiment text analysis examines the product or service review to determine a sentiment of the product or service review. The sentiment of the product or service review is categorized based on the demographic information of the reviewer.

Abstract: Various embodiments provide a method that comprises receiving a set of segments from a text field, analyzing the set of segments to determine at least one of a target subtext or a target meaning associated with the set of segments, and identifying a set of candidate emoticons where each candidate emoticon in the set of candidate emoticons has an association between the candidate emoticon and at least one of the target subtext or the target meaning. The method may further comprise presenting the set of candidate emoticons for entry selection at a current position of an input cursor, receiving an entry selection for a set of selected emoticons from the set of candidate emoticons, and inserting the set of selected emoticons into the text field at the current position of the input cursor.

Abstract: A dialogue system and a method for the same are disclosed. The dialogue system includes a multimodal input unit receiving speech and non-speech information of a user, a domain reasoner, which stores a plurality of pre-stored situations, each of which is formed by a combination one or more speech and non-speech information, calculating each adaptability of the pre-stored situations on the basis of a generated situation based on the speech and the non-speech information received from the multimodal input unit, and determining a current domain according to the calculated adaptability, a dialogue manager to select a response corresponding to the current domain, and a multimodal output unit to output the response. The dialogue system performs domain reasoning using a situation including information combinations reflected in the domain reasoning process, current information, and a speech recognition result, and reduces the size of a dialogue search space while increasing domain reasoning accuracy.

Abstract: This encoding device (100) is provided with: a CELP encoding unit (102) that decodes CELP encoded data resulting from CELP encoding an input signal, generating a CELP decoded signal; a transform encoding unit (106) that generates a decoded signal spectrum by decoding transform encoded data resulting from using the spectrum of the input signal and the suppression spectrum of suppressing using a first suppression factor to transform encode the amplitude of the spectrum of the CELP decoded signal, and that outputs an index of the transform encoded frequency component; a pulse index recording unit (107) that forms and records an array using the index; and a CELP component suppression unit (109) that uses a second suppression factor and the array to suppress the amplitude of the spectrum resulting from adding the decoded signal spectrum and the suppression spectrum.

Abstract: A voice signal processing method processes voice signals acquired by a microphone. A voice processing device acquires first voice signals according to a first sampling frequency, and samples second voice signals from the first voice signals according to a second sampling frequency. The second voice signals are encoded to obtain a basic voice package. A voiceprint data package of each voice signal frame of the first voice signals is obtained using a curve fitting method, and a pitch data package of each voice signal frame of the first voice signals is obtained according to pitch distribution of twelve central octave keys of a standard piano. The voiceprint data package and the pitch data package are embedded into the basic audio package to generate a final voice package of the first voice signals.

Abstract: A method of processing an audio signal includes determining an average signal-to-noise ratio for the audio signal over time. The method includes, based on the determined average signal-to-noise ratio, a formant-sharpening factor is determined. The method also includes applying a filter that is based on the determined formant-sharpening factor to a codebook vector that is based on information from the audio signal.

Abstract: A communication system includes a front-end audio gateway or bridge and a hands-free device. An automatic speech recognition platform accessible to the hands-free device provides or makes available one or more preprocessing schemes and/or acoustic models to the front-end audio gateway or bridge. The preprocessing schemes or acoustic models can be identified by or provided before a connection is established between the front-end audio gateway and the automatic speech recognition platform, when a connection occurs between the front-end audio gateway and the automatic speech recognition platform, and/or during a speech recognition session.

Abstract: Embodiments related to recognizing speech inputs are disclosed. One disclosed embodiment provides a method for recognizing a speech input including receiving depth information of a physical space from a depth camera, determining an identity of a user in the physical space based on the depth information, receiving audio information from one or more microphones, and determining a speech input from the audio input. If the speech input comprises an ambiguous term, the ambiguous term in the speech input is compared to one or more of depth image data received from the depth image sensor and digital content consumption information for the user to identify an unambiguous term corresponding to the ambiguous term. After identifying the unambiguous term, an action is taken on the computing device based on the speech input and the unambiguous term.

Abstract: A method of recognizing speech commands includes generating a background acoustic model for a sound using a first sound sample, the background acoustic model characterized by a first precision metric. A foreground acoustic model is generated for the sound using a second sound sample, the foreground acoustic model characterized by a second precision metric. A third sound sample is received and decoded by assigning a weight to the third sound sample corresponding to a probability that the sound sample originated in a foreground using the foreground acoustic model and the background acoustic model. The method further includes determining if the weight meets predefined criteria for assigning the third sound sample to the foreground and, when the weight meets the predefined criteria, interpreting the third sound sample as a portion of a speech command. Otherwise, recognition of the third sound sample as a portion of a speech command is forgone.

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: A sound processing device includes a first noise suppression unit configured to suppress a noise component included in an input sound signal using a first suppression amount, a second noise suppression unit configured to suppress the noise component included in the input sound signal using a second suppression amount greater than the first suppression amount, a speech section detection unit configured to detect whether the sound signal whose noise component has been suppressed by the second noise suppression unit includes a speech section having a speech for every predetermined time, and a speech recognition unit configured to perform a speech recognizing process on a section, which is detected to be a speech section by the speech section detection unit, in the sound signal whose noise component has been suppressed by the first noise suppression unit.

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: Personalization for Automatic Speech Recognition (ASR) is associated with a particular device. A generalized i-vector clustering method is used to train i-vector parameters on utterances received from a device and to classify test utterances from the same device. A sub-loading matrix and a residual noise term may be used when determining the personalization. A Universal Background Model (UBM) is trained using the utterances. The UBM is applied to obtain i-vectors of training utterances received from a device and a Gaussian Mixture Model (GMM) is trained using the i-vectors. During testing, the i-vector for each utterance received from the device is estimated using the device's UBM. The utterance is then assigned to the cluster with the closest centroid in the GMM. For each utterance, the i-vector and the residual noise estimation is performed. Hyperparameter estimation is also performed. The i-vector estimation and hyperparameter estimation are performed until convergence.

Abstract: Prosodic features are used for discriminating computer-directed speech from human-directed speech. Statistics and models describing energy/intensity patterns over time, speech/pause distributions, pitch patterns, vocal effort features, and speech segment duration patterns may be used for prosodic modeling. The prosodic features for at least a portion of an utterance are monitored over a period of time to determine a shape associated with the utterance. A score may be determined to assist in classifying the current utterance as human directed or computer directed without relying on knowledge of preceding utterances or utterances following the current utterance. Outside data may be used for training lexical addressee detection systems for the H-H-C scenario. H-C training data can be obtained from a single-user H-C collection and that H-H speech can be modeled using general conversational speech. H-C and H-H language models may also be adapted using interpolation with small amounts of matched H-H-C data.

Abstract: The application provides a method and system for determinism in non-linear systems for speech processing, particularly automatic speech segmentation for building speech recognition systems. More particularly, the application enables a method and system for detecting boundary of coarticulated units from isolated speech using recurrence plot.

Abstract: Technology for crime control includes receiving a voucher identifier for a mobile phone credit voucher purchased under duress by a victim and generating a request for a legal order directing a telecommunication service provider to obtain certain information about use of the voucher. Approval for the legal order is received and the legal order and the voucher identifier are transmitted by a law enforcement agency computer system via a network to a computer system of the telecommunication service provider. A phone number associated with a mobile phone to which a credit associated with the voucher identifier was applied and a recording of a telephone call to or from the phone number are received via the network from the telecommunication service provider computer system and the law enforcement agency computer system performs an automated analysis of the call by a voice recognition process.

Abstract: Systems, apparatus, articles, and methods are described including operations to receive audio data and visual data from one or more occupants of a vehicle. A determination may be made regarding which of the one or more occupants of the vehicle to associate with the received audio data based at least in part on the received visual data.

Abstract: A voice recognition apparatus and a method for providing response information are provided. The voice recognition apparatus according to the present disclosure includes an extractor configured to extract a first utterance element representing a user action and a second utterance element representing an object from a user's utterance voice signal; a domain determiner configured to detect an expansion domain related to the extracted first and second utterance elements based on a hierarchical domain model, and determine at least one candidate domain related to the detected expansion domain as a final domain; a communicator which performs communication with an external apparatus; and a controller configured to control the communicator to transmit information regarding the first and second utterance elements and information regarding the determined final domain.