Abstract: An image processing apparatus includes an image processor; an audio input to input a user's speech; a storage to store at least one simple sentence voice command and an operation corresponding to the simple sentence voice command; a communication device to communicate with a server that analyzes a descriptive sentence voice command and determine an operation corresponding to the descriptive sentence voice command; an audio processor to process a first voice command corresponding to the speech and conduct the operation corresponding to the simple sentence voice command if the first voice command is the simple sentence voice command, and to transmit the first voice command to the communication device if the first voice command is not the simple sentence voice command; and a controller configured to display a first guide image which recommends the simple sentence voice command stored in the storage if the corresponding operation for the first voice command determined by the server is identical to one of the at l

Abstract: An apparatus management system includes a first apparatus; a second apparatus having an apparatus type different from the first apparatus; and an apparatus management configuration connected via a network with the first apparatus and the second apparatus, and managing the apparatuses. The apparatus management configuration includes a reception part that receives apparatus information that includes apparatus type identifiers for identifying the apparatus types of the first apparatus and the second apparatus; and a control part that carries out control to generate management information according to the apparatus types, based on the apparatus type identifiers.

Abstract: Features are disclosed for identifying and providing command suggestions during automatic speech recognition. As utterances are interpreted, suggestions may be provided based on even partial interpretations to guide users of a client device to commands available via speech recognition.

Abstract: The present disclosure is directed towards a method for speech intelligibility. The method may include receiving, at one or more computing devices, a first speech input from a first user and performing voice activity detection upon the first speech input. The method may also include analyzing a spectral tilt associated with the first speech input, wherein analyzing includes computing an impulse response of a linear predictive coding (“LPC”) synthesis filter in a linear pulse code modulation (“PCM”) domain and wherein the one or more computing devices includes an adaptive high pass filter configured to recalculate one or more linear prediction coefficients.

Abstract: For context-based audio filter selection, a type module determines a recipient type for a recipient process of an audio signal. The recipient type includes a human destination recipient type and a speech recognition recipient type. A filter module selects an audio filter in response to the recipient type.

Abstract: Systems and methods are provided for classifying text based on language using one or more computer servers and storage devices. In general, the systems and methods can include a language classification module for classifying text of an input data set using the output of a training module. In an exemplary embodiment, a bootstrapping step feeds the output of the language classification module back into the training module to increase the accuracy of the language classification module. By iterating the language classification and training modules with input data having certain features, a user can tailor the language classification module for use with text having those or similar features.

Abstract: A customer service system for providing enhanced guidance and resources to service agents and providing an enhance ability to select service agents that are best suited to address specific customers and specific customer needs, and methods for manufacturing and using same. The customer service system includes a system server with a semantic engine configured to analyze customer contact events and customize service agent interfaces based on determined customer needs.

Abstract: An operation method capable of adaptively operating at least one of a Speech To Text (STT) service and a Text To Speech (TTS) service according to setting or user operation and a system thereof are provided. The method includes requesting a specific type of a communication service connection to a reception side terminal by a transmission side terminal, and performing an operation of at least one of a speech to text service providing speech recognition based text and a text to speech service converting the text into speech data between the reception side terminal and the transmission side terminal, and includes one of recognizing speech data provided from the transmission side terminal and converting the speech data into a text based on a first speech process supporting device connected to the transmission side terminal.

Abstract: Provided is an apparatus for detecting a speech/non-speech section. The apparatus includes an acquisition unit which obtains inter-channel relation information of a stereo audio signal, a separation unit which separates each element of the stereo audio signal into a center channel element and a surround element on the basis of the inter-channel relation information, a calculation unit which calculates an energy ratio value between a center channel signal composed of center channel elements and a surround channel signal composed of surround elements, for each frame, and an energy ratio value between the stereo audio signal and a mono signal generated on the basis of the stereo audio signal, and a judgment unit which determines a speech section and a non-speech section from the stereo audio signal by comparing the energy ratio values.

Abstract: A frame loss compensation method and apparatus for audio signals are disclosed. The method includes: when a first frame immediately following a correctly received frame is lost, judging a frame type of the first lost frame, and when the first lost frame is a non-multi-harmonic frame, calculating MDCT coefficients of the first lost frame by using MDCT coefficients of one or more frames prior to the first lost frame; obtaining an initially compensated signal of the first lost frame according to the MDCT coefficients of the first lost frame; and performing a first class of waveform adjustment on the initially compensated signal of the first lost frame and taking an adjusted time-domain signal as a time-domain signal of the first lost frame. The apparatus includes a frame type judgment module, an MDCT coefficient acquisition module, an initial compensation signal acquisition module and an adjustment module.

Abstract: For identifying words for a context, a monitor module monitors first communications at a digital processing system and determines usage frequencies of a plurality of words in one or more contexts. An identity module identifies a first word in response to a usage frequency for the first word exceeding a use threshold.

Abstract: Described is a technique for establishing an interaction language for a user interface without having to communicate with the user in a default language, which the user may or may not understand. The technique may prompt the user for multiples responses in order to determine a specific language. The responses may include speech input or selecting particular regions on a map. In some implementations, the language may be precise to a particular dialect or variant preferred or spoken by the user. Accordingly, this approach provides an accurate and efficient method of providing a high degree of specificity for language selection without overwhelming the user with an unmanageable list of languages.

Abstract: A speech system may be configured to operate in conjunction with a stationary base device and a handheld remote device to receive voice commands from a user. Voice commands may be directed either to the base device or to the handheld device. When performing automatic speech recognition (ASR), natural language understanding (NLU), dialog management, text-to-speech (TTS) conversion, and other speech-related tasks, the system may utilize various models, including ASR models, NLU models, dialog models, and TTS models. Different models may be used depending on whether the user has chosen to speak into the base device or the handheld audio device. The different models may be designed to accommodate the different characteristics of audio and speech that are present in audio provided by the two different components and the different characteristics of the environmental situation of the user.

Abstract: Pronunciation issues for synthesized speech are automatically detected using human recordings as a reference within a Speech Recognition Assisted Evaluation (SRAE) framework including a Text-To-Speech flow and a Speech Recognition (SR) flow. A pronunciation issue detector evaluates results obtained at multiple levels of the TTS flow and the SR flow (e.g. phone, word, and signal level) by using the corresponding human recordings as the reference for the synthesized speech, and outputs possible pronunciation issues. A signal level may be used to determine similarities/differences between the recordings and the TTS output. A model level checker may provide results to the pronunciation issue detector to check the similarities of the TTS and the SR phone set including mapping relations. Results from a comparison of the SR output and the recordings may also be evaluation by the pronunciation issue detector. The pronunciation issue detector outputs a list that lists potential pronunciation issue candidates.

Abstract: An apparatus comprising: a coding rate determiner configured to determine a first coding bitrate for at least one first frame audio signal multi-channel parameter and a second coding bitrate for at least one second frame audio signal multi-channel parameter, wherein the combined first and second coding bitrate is less than a bitrate limit; a channel analyser configured to determine for a first frame the at least one first frame audio signal multi-channel parameter and configured to determine for a second frame the at least one second frame audio signal multi-channel parameter; a multi-channel parameter determiner configured to generate an encoded first frame audio signal multi-channel parameter within the first coding bitrate from the at least one first frame audio signal multi-channel parameter and configured to generate an encoded at least one second frame audio signal parameter within the second coding bitrate from the at least one second frame audio signal multi-channel parameter; and a multiplexer config

Abstract: A method and system are provided for finding synonyms which are more contextually relevant to the intended use of a particular word. The system finds a list of synonyms for the input word and also finds a list of synonyms for an additional word entered by the user to approximate the intended usage of the input word. These two lists of synonyms are compared to find words common to both lists, and the common words are presented to the user as potential synonyms which are appropriate for the intended use.

Abstract: A computer for managing textual content of phrases where the computer determines if a phrase is entered into a first field in a display, wherein the phrase contains textual content. The computer determines if a portion of the textual content of the phrase is present in a phrase dictionary, wherein the phrase dictionary contains textual content of one or more topics. Responsive to determining that the portion of the textual content of the phrase is not present in the phrase dictionary, the computer determines to not enter the portion of the textual content of the phrase in a second field of the display.

Abstract: In a printing system, the information processing apparatus includes: a first obtaining unit which obtains hardware information of a printing apparatus at the time of installation of a printer driver associated with the printing apparatus; a unit which decides on a printer driver to be installed from among a plurality of printer drivers that are associated with the printing apparatus and differ from one another in specifications based on the hardware information; a second obtaining unit which transmits to the printing apparatus attribute information of the printer driver that has been decided on, and obtains as a response thereto a configuration file for expanding functions of the printer driver that has been decided on; and a unit which installs the printer driver that has been decided on, and performs functional expansion for the printer driver using the obtained configuration file.

Abstract: An audio decoder configured to generate a high band extension of an audio signal from an envelope and an excitation. The audio decoder includes a control arrangement configured to jointly control envelope shape and excitation noisiness with a common control parameter (f).

Abstract: An image forming apparatus includes a first processing unit configured to execute a first type function, a second processing unit configured to execute a second type function different from the first type function, and a power supply unit configured to supply power to the first processing unit and the second processing unit, wherein a storage unit stores a first guaranteed time during which a power supply to the first processing unit is maintained and a second guaranteed time during which a power supply to the second processing unit is maintained, and a control unit configured to stop the power supply to the first processing unit when the stored first guaranteed time elapses and to stop the power supply to the second processing unit when the stored second guaranteed time elapses.