Abstract: A voice recognition apparatus includes a voice recognizer configured to recognize user utterance, a storage unit configured to store a plurality of tokens, a token network generator configured to generate a plurality of recognition tokens from the recognized user utterance, search for a similar token similar to each of the recognition tokens and a peripheral token having a history used with the recognition token among the plurality of tokens stored in the storage unit, and generate a token network using the recognition token, the similar token, and the peripheral token, and a processor configured to control the token network generator to generate the token network in response to the user utterance being recognized through the voice recognizer, calculate a transition probability between the tokens constituting the token network, and generate text data for corrected user utterance using the calculated transition probability.

Abstract: An apparatus for generating a frequency enhancement signal has: a calculator for calculating a value describing an energy distribution with respect to frequency in a core signal; and a signal generator for generating an enhancement signal having an enhancement frequency range not included in the core signal, from the core signal, wherein the signal generator is configured for shaping the enhancement signal or the core signal so that a spectral envelope of the enhancement signal or of the core signal depends on the value describing the energy distribution with respect to frequency in the core signal.

Abstract: An apparatus for processing an encoded signal, the encoded signal having an encoded audio signal having information on a pitch delay or a pitch gain, and a bass post-filter control parameter, has: an audio signal decoder for decoding the encoded audio signal using the information on the pitch delay or the pitch gain to obtain a decoded audio signal; a controllable bass post-filter for filtering the decoded audio signal to obtain a processed signal, wherein the controllable bass post-filter has the variable bass post-filter characteristic controllable by the bass post-filter control parameter; and a controller for setting the variable bass post-filter characteristic in accordance with the bass post-filter control parameter included in the encoded signal.

Abstract: The present invention relates to a frame loss recovering method, an audio decoding method, and an apparatus using the method. A method of recovering a frame loss of an audio signal according to the present invention includes: grouping transform coefficients of at least one frame into a predetermined number of bands among previous frames of a current frame; deriving an attenuation constant according to a tonality of the bands; and recovering transform coefficients of the current frame by applying the attenuation constant to the previous frame of the current frame.

Abstract: According to one of aspects, an electronic device includes a sound input module and a controller. The controller is configured to control a voice input through the sound input module to be activated when detecting occurrence of an event to be notified to a user.

Abstract: Systems and methods are presented for producing datasets as symbolic or associative representations of terms or objects or entities. A term can be a word or a phrase, which can also be the name of an object or a topic or concept. A dataset is produced for a specific term or object. The dataset contains a plurality of other terms or values associated with the specific term, and can serve as a representation of the specific term by other terms or values obtained using machine-based algorithms from text contents. Terms or values in the datasets also represent information about an object, or information about properties associated with the object. Methods for obtaining the datasets include discovering the relationships between terms in a plurality of text contents, based on occurrence, location, and attributes associated with the terms in the text contents.

Abstract: A driving support device for a vehicle uses a right speaker and a left speaker for providing audio information useful for driving to the right ear and left ear of a driver. Among the audio information useful for driving, speech guidance with the use of a voice is provided exclusively from the right speaker to the right ear of the driver.

Abstract: Systems and methods are provided for audio encoding. For example, first quantization encoding is performed on audio data associated with a current frame of an audio data stream to obtain first quantization-encoded data; second quantization encoding is performed on the audio data to obtain second quantization-encoded data; the first quantization-encoded data is coupled to the current frame of the audio data stream; and the second quantization-encoded data is coupled to a next frame of the audio data stream.

Abstract: The present invention provides a terminal, comprising: a voice recognition unit for recognizing a voice during a call and generating recognition data; a first acquisition unit connected to the voice recognition unit and used for acquiring information correlated with the recognition data; and a display unit connected to the first acquisition unit and used for displaying the correlated information. The present invention also provides a server and an information pushing method. Through the technical schemes of the present invention, information correlated with the call content can be automatically and rapidly acquired according to the call content and presented to a user, thus facilitating timely referring of the user.

Abstract: Technologies for natural language interactions with virtual personal assistant systems include a computing device configured to capture audio input, distort the audio input to produce a number of distorted audio variations, and perform speech recognition on the audio input and the distorted audio variants. The computing device selects a result from a large number of potential speech recognition results based on contextual information. The computing device may measure a user's engagement level by using an eye tracking sensor to determine whether the user is visually focused on an avatar rendered by the virtual personal assistant. The avatar may be rendered in a disengaged state, a ready state, or an engaged state based on the user engagement level. The avatar may be rendered as semitransparent in the disengaged state, and the transparency may be reduced in the ready state or the engaged state. Other embodiments are described and claimed.

Abstract: A method of operation of a device includes receiving a first set of samples and a second set of samples. The first set of samples corresponds to a portion of a first audio frame and the second set of samples corresponds to a second audio frame. The method further includes generating a target set of samples based on the first set of samples and a first subset of the second set of samples and generating a reference set of samples based at least partially on a second subset of the second set of samples. The method also includes scaling the target set of samples to generate a scaled target set of samples and generating a third set of samples based on the scaled target set of samples and one or more samples of the second set of samples.

Abstract: Systems and methods are disclosed for a server learning new words generated by user client devices in a crowdsourced manner while maintaining local differential privacy of client devices. A client device can determine that a word typed on the client device is a new word that is not contained in a dictionary or asset catalog on the client device. New words can be grouped in classifications such as entertainment, health, finance, etc. A differential privacy system on the client device can comprise a privacy budget for each classification of new words. If there is privacy budget available for the classification, then one or more new terms in a classification can be sent to new term learning server, and the privacy budget for the classification reduced. The privacy budget can be periodically replenished.

Abstract: Detection of neurological diseases such as Parkinson's disease can be accomplished through analyzing a subject's speech for acoustic measures based on human factor cepstral coefficients (HFCC). Upon receiving a speech sample from a subject, a signal analysis can be performed that includes identifying articulation range and articulation rate using HFCC and delta coefficients. A likelihood of Parkinson's disease, for example, can be determined based upon the identified articulation range and articulation rate of the speech.

Abstract: A method for assisting a user with one or more desired tasks is disclosed. For example, an executable, generic language understanding module and an executable, generic task reasoning module are provided for execution in the computer processing system. A set of run-time specifications is provided to the generic language understanding module and the generic task reasoning module, comprising one or more models specific to a domain. A language input is then received from a user, an intention of the user is determined with respect to one or more desired tasks, and the user is assisted with the one or more desired tasks, in accordance with the intention of the user.

Abstract: An intention estimation equipment includes: a first training data group; a second training data group; a model creation unit that creates first and second statistical models that estimates an intention of an input text; an error data extraction unit that extracts, from the second training data group, training data corresponding to a text, of which an intention estimation result based on the first and the second statistical models is correct and erroneous, respectively, as error data; an opposite data extraction unit that extracts, from the second training data group, training data that is a cause for an intention estimation result of the error data based on the second statistical model becoming erroneous as opposite data; and a data correction unit that performs correction of the second training data group so that an influence of the error data or of the opposite data on creation of the statistical model is changed.

Abstract: An apparatus for generating an audio output signal based on an encoded audio signal spectrum is provided. The apparatus has a processing unit for processing the encoded audio signal spectrum to obtain a decoded audio signal spectrum having a plurality of spectral coefficients, wherein each of the spectral coefficients has a spectral location within the encoded audio signal spectrum and a spectral value. Moreover, the apparatus has a pseudo coefficients determiner for determining one or more pseudo coefficients. Furthermore, the apparatus has a replacement unit for replacing at least one or more pseudo coefficients by a determined spectral pattern to obtain a modified audio signal spectrum, wherein each of at least two pattern coefficients has a spectral value. Moreover, the apparatus has a spectrum-time-conversion unit for converting the modified audio signal spectrum to a time-domain.

Abstract: Embodiments disclosed herein provide a wireless controller which shows a voice, motion, or an image complying with or not complying with a user's command and controls an external device in accordance with the user's command. According to an embodiment, a wireless controller includes a main body provided in a shape of a flowerpot, and includes a voice recognition unit, a control unit generating a signal for controlling an object to be controlled, which is designated by a voice recognized in the voice recognition unit, in accordance with the voice, and a communication unit outputting the control signal generated in the control unit to the object to be controlled; and an indicator provided at the main body in a shape of at least one of a stem, a leaf, a flower, and a tree, and showing a motion corresponding to the voice recognized in the voice recognition unit.

Abstract: An audio signal transmission device for encoding an audio signal includes an audio encoding unit that encodes an audio signal and a side information encoding unit that calculates and encodes side information from a look-ahead signal. An audio signal receiving device for decoding an audio code and outputting an audio signal includes: an audio code buffer that detects packet loss based on a received state of an audio packet, an audio parameter decoding unit that decodes an audio code when an audio packet is correctly received, a side information decoding unit that decodes a side information code when an audio packet is correctly received, a side information accumulation unit that accumulates side information obtained by decoding a side information code, an audio parameter missing processing unit that outputs an audio parameter upon detection of audio packet loss, and an audio synthesis unit that synthesizes decoded audio from the audio parameter.

Abstract: The present invention describes methods for performing large-scale graph traversal calculations on parallel processor platforms. The invention describes methods for on-the-fly hypothesis rescoring that utilizes graphic processing units (GPUs) in combination with utilizing central processing units (CPUs) of computing devices. The invention is described in one embodiment as applied to the task of large vocabulary continuous speech recognition.

Abstract: The embodiment of the present invention provides a method for realizing a voice recognition function, including: setting a corresponding relationship between the attitude parameter of a mobile terminal body and a voice recognition mode (S10); if a gravity sensor in the mobile terminal detects that a change of the attitude parameter of the mobile terminal body satisfies a condition of switching the voice recognition mode, then switching the voice recognition mode, and performing voice recognition under the switched voice recognition mode (S20). Through self-adaptively switching the voice recognition mode of the mobile terminal, the voice recognition function of the mobile terminal can be made to free the hands of a user to the greatest extent and save power consumption. An apparatus for realizing the voice recognition function corresponding to the method is also disclosed.