Abstract: An image forming system that is capable of preventing obstruction of transmission of a packet to an information processing apparatus from a USB device supporting USBNW due to the shift to the sleep mode. The image forming system includes an information processing apparatus, an image forming apparatus with a sleep mode, and a USB device that is connected to the information processing apparatus through the image forming apparatus and is controlled by the information processing apparatus. The image forming apparatus includes a first determination unit that determines whether the USB device supports USBNW, a second determination unit that determines whether a packet received from the information processing apparatus is processed by a module supporting USBNW, and a control unit that prohibits the image forming apparatus from shifting to the sleep mode when the USB device supports USBNW and when the packet is processed by the module supporting USBNW.

Abstract: A display system includes first and second operation displays, wherein the display system causes the first and second operation displays to perform a cooperative operation, in a case where a predetermined operation has been received via the first operation display when the first operation display is in a power saving display state and the first and second operation displays are not performing the cooperative operation, the state of the first operation display is changed to the normal display state, and in a case where the predetermined operation has been received via the first operation display when the first operation display is in the power saving display state and the second operation display is in the normal display state and the first and second operation displays are performing the cooperative operation, the display system maintains the first operation display in the power saving display state.

Abstract: According to the present disclosure, an image-processing apparatus acquires scan information of the read images read by the image-reading apparatus, generates temporal change data based on the statistical information and the scan information, determines whether the temporal change data satisfy a threshold, and outputs notice information when the temporal change data are determined as failing to satisfy the threshold.

Abstract: A method for slowing a digital audio signal from the transmitter in order to transmit a slowed-down digital audio signal to a receiver, comprises the conversion of the digital audio signal received from a transmitter into a text made up of a series of words, assigning a timestamp bookmark to each word of the text, identifying words that belong to patterns referenced in a database of patterns to be eliminated, the definition of a rate of slowing, the adaptation of timestamped bookmarks to a slowed-down time frame based on the time of slowing, the slowing of the digital audio signal, the deletion of patterns to be eliminated, and the transmission to the receiver of a slowed-down digital audio signal.

Abstract: An image processing apparatus includes a division unit and a generation unit. The division unit divides an image represented by image forming data into multiple division regions. The generation unit generates a piece of bitmap image data by causing a hardware processing unit to process a piece of division-region data selected from among pieces of division-region data of the multiple division regions in descending order of processing loads of image processing performed when pieces of bitmap image data are generated from the respective pieces of division-region data, the processing loads being obtained for the respective division regions, and by causing a CPU to perform software processing on a piece of division-region data selected from among the pieces of division-region data in ascending order of the processing loads.

Abstract: An image processing device acquires a selection instruction to select one of a plurality of functions; and determines whether an operation mode is in a simulation mode in which a specific function is executed according to an instruction from a terminal device, which stores a virtual application program and a virtual service program used for the virtual application program. The device executing, in a case of determining that the operation mode is not the simulation mode, a first function executing process to execute the selected function by: activating the application program corresponding to the selected function, and executing, in a case of determining that the operation mode is the simulation mode, a second function executing process to execute the specific function by: inhibiting activation of the application program; publishing an API corresponding to the specific function; and acquiring an instruction for executing the specific function from the virtual application program.

Abstract: An image processing apparatus includes a processor, and memory storing computer readable instructions, when executed by the processor, causing the apparatus to operate as: a template image data generating unit configured to generate template image data representing a template image including a body area for writing information therein, and also including a keyword area for writing information therein for specifying a keyword to be associated with target image data representing a target image including the body area having information written therein, from among plural keywords; and a template image data providing unit configured to provide the template image data to a printing unit.

Abstract: Method of selecting training text for language model, and method of training language model using the training text, and computer and computer program for executing the methods. The present invention provides for selecting training text for a language model that includes: generating a template for selecting training text from a corpus in a first domain according to generation techniques of: (i) replacing one or more words in a word string selected from the corpus in the first domain with a special symbol representing any word or word string, and adopting the word string after replacement as a template for selecting the training text; and/or (ii) adopting the word string selected from the corpus in the first domain as the template for selecting the training text; and selecting text covered by the template as the training text from a corpus in a second domain different from the first domain.

Abstract: An information processing apparatus includes a selection section. When the information processing apparatus makes an image forming apparatus perform image formation on a presentation file including first information on a first output image and second information on a second target output image associated with the first output image based on the first information and the second information, the selection section selects a target output image on which the image formation is performed from among the second output image.

Abstract: Methods are disclosed for an encoder to embed a data stream into a quantized PCM digital audio signal and for a corresponding decoder to both retrieve the data stream and losslessly reconstruct the exact original audio. Some methods employ complimentary amplification and attenuation, while others employ gain redistribution. Pre-emphasis and soft clipping techniques are described as methods of losslessly reducing the peak excursion of the PCM audio signal. Also described is the lossless placing of data at predetermined positions within an audio stream.

Abstract: Methods and apparatus related to automatically rewriting a string of text utilizing one or more rewrite rules. Some implementations are directed to scoring rewrite rules based at least in part on user interactions with rewrites that are generated by applying the rewrite rules. Some implementations are directed to determining the effectiveness of a rewrite generated based on applying one or more rewrite rules to a string of text. In some of those implementations, the determination may be based at least in part on one or more characteristics of the string of text, one or more characteristics of the rewrite, and/or scores associated with the rewrite rules.

Abstract: The present invention is a system and method for discriminating between human and synthetic speech. The method and system include memory for storing a speaker verification application, a communication network that receives from a client device a speech signal having one or more discriminating features, and a processor for executing instructions stored in memory. The execution of the instructions by the processor extracts the one or more discriminating features from the speech signal and classifies the speech signal as human or synthetic based on the extracted features.

Abstract: The present invention is characterized by including: an analysis processing unit 19 that can analyze PDL data of a particular PDL; a text counter 21 that counts the number of processes of codes outside of a character-assigned range during a text process based on a character code table in the analysis by the analysis processing unit 19; and an interruption unit 23 that interrupts the analysis of the PDL data when the counted number by the text counter 21 exceeds a predetermined first threshold.

Abstract: A multilayered context enriched text translation interface includes a simulation layer comprising one or more text objects and a translation layer. The interface displays one or more mimicked views of an application GUI in the simulation layer. Subsequent to a user engaging a text object, the interface displays a prompt for a text translation of the text object within a translation layer. In certain embodiments, the mimicked views are graphical reproductions of the application GUI pages with functionality of one or more text objects of the application GUI disabled. In certain embodiments, the prompt includes an accentuation objects to visually accentuate the text object, a text-editing object to receive the text translation of the text object, and a link object to visually connect the accentuation objects and text-editing object.

Abstract: As disclosed herein a method, executed by a computer, for enabling enhanced reading device usability includes detecting, on an electronic device, a read operation that audibly reads visually presented information. The method further includes retrieving from a user profile a first threshold value and a second threshold value. The method further includes analyzing potential distractions to determine an estimated distraction level. The method further includes pausing the read operation if the estimated distraction level is greater than or equal to the first threshold value. The method further includes resuming the read operation if the estimated distraction level is less than or equal to the second threshold value. A computer system, and a computer program product corresponding to the method are also disclosed herein.

Abstract: A method and/or computer program product validates a translation memory against terminology dictionary of a source and target language. For each source term, occurrences of a particular source term within source segments are identified, where an occurrence is determined according to grammar rules. For each identified source term occurrence in a source segment, a closeness score between a corresponding target term and a corresponding occurrence of the corresponding target term in a target segment is calculated. Each identified occurrence of a source term in a source segment is reported, as well as a closeness score, for each identified occurrence, between each identified occurrence and a corresponding target term in a target segment.

Abstract: System and methods are provided for modifying audio signals. A waveform representing an audio signal changing over time is received. A first time length is selected. A first starting point in the waveform is selected. A first pair of adjacent segments of the waveform are determined based at least in part on the first starting point and the first time length. The first pair of adjacent segments each correspond to the first time length. A first difference measure associated with the first pair of adjacent segments is calculated. In response to the first difference measure being smaller than a threshold, compression or expansion of the waveform is performed based at least in part on the first time length and the first starting point.

Abstract: As disclosed herein a method, executed by a computer, for enabling enhanced reading device usability includes detecting, on an electronic device, a read operation that audibly reads visually presented information. The method further includes retrieving from a user profile a first threshold value and a second threshold value. The method further includes analyzing potential distractions to determine an estimated distraction level. The method further includes pausing the read operation if the estimated distraction level is greater than or equal to the first threshold value. The method further includes resuming the read operation if the estimated distraction level is less than or equal to the second threshold value. A computer system, and a computer program product corresponding to the method are also disclosed herein.

Abstract: In general, techniques are described for coding of vectors decomposed from higher order ambisonic coefficients. A device comprising a processor and a memory may perform the techniques. The processor may be configured to obtain from a bitstream data indicative of a plurality of weight values that represent a vector that is included in a decomposed version of the plurality of HOA coefficients. Each of the weight values may correspond to a respective one of a plurality of weights in a weighted sum of code vectors that represents the vector and that includes a set of code vectors. The processor may further be configured to reconstruct the vector based on the weight values and the code vectors. The memory may be configured to store the reconstructed vector.

Abstract: Methods, an encoder and a decoder are configured for transition between frames with different internal sampling rates. Linear predictive (LP) filter parameters are converted from a sampling rate S1 to a sampling rate S2. A power spectrum of a LP synthesis filter is computed, at the sampling rate S1, using the LP filter parameters. The power spectrum of the LP synthesis filter is modified to convert it from the sampling rate S1 to the sampling rate S2. The modified power spectrum of the LP synthesis filter is inverse transformed to determine autocorrelations of the LP synthesis filter at the sampling rate S2. The autocorrelations are used to compute the LP filter parameters at the sampling rate S2.