Abstract: A method and a device for encoding a high frequency signal, and a method and a device for decoding a high frequency signal are provided, which relate to encoding and decoding technology. The method for encoding a high frequency signal includes: determining a signal type of a high frequency signal of a current frame; smoothing and scaling time envelopes of the high frequency signal of the current frame and obtaining time envelopes of the high frequency signal of the current frame that require to be encoded, if the high frequency signal of the current frame is a non-transient signal and a high frequency signal of the previous frame is a transient signal; and quantizing and encoding the time envelopes of the high frequency signal of the current frame that require to be encoded, and frequency information and signal type information of the high frequency signal of the current frame.

Abstract: A social media monitoring and text analysis method for automated classification of user posts on the web, using a facet based relevance assessment model, comprise a semantic indexing server, which builds a faceted classification index of text objects, and a query server, which receives and analyzes the user's query. A query thus processed is then sent from the query server to the semantic indexing server through an interface in order to perform a search in the faceted classification index. The search system and method further comprise a result handler, which provides the user with a search result set comprising a list of unexpected links and a list of result elements. The list of unexpected links corresponds to filters which allow the user to narrow down or refine the original query.

Abstract: Systems and processes for performing unit-selection text-to-speech synthesis are provided. In one example process, a sequence of target units can represent a spoken pronunciation of text. A set of predicted acoustic model parameters of a second target unit can be determined using a set of acoustic features of a first candidate speech segment of a first target unit and a set of linguistic features of the second target unit. A likelihood score of the second candidate speech segment with respect to the first candidate speech segment can be determined using the set of predicted acoustic model parameters of the second target unit and a set of acoustic features of the second candidate speech segment of the second target unit. The second candidate speech segment can be selected for speech synthesis based on the determined likelihood score. Speech corresponding to the received text can be generated using the selected second candidate speech segment.

Abstract: A communication system and a method can be configured to facilitate the performance of a conference. The system can include a conference organizer terminal and at least two participants' terminals each assigned to respective conference participants who each log in to start a conference on the communication system. The communication system can be configured to calculate a decision situation at a particular point in time of the ongoing conference by analyzing the views expressed by the conference participants during the conference and send data relating to the decision situation for that point in time to the conference organizer's terminal and/or other conference participant terminals for use in facilitating the conference. IN some embodiments, such data can be used to assist the conference participants' in recognizing when there is a consensus made on at least one decision to be made during the conference.

Abstract: A method for automatically extracting claim candidates from complex sentences includes providing a parse tree of a text sample to be analyzed, disassembling the parse tree into a set of basic meaning-bearing clauses, assembling clauses of the set of basic clauses into a set of complex coherent statements based on permissible syntactic structures, testing the complex statements and discarding those statements that are not coherent when considered alone, discarding those complex statements that either do not provide additional information about a subject, or are too complex, removing information from a complex statement that provides supportive details about the subject, and discarding statements that restrict their subject, so that the subject cannot be generalized encompass a broader subject.

Abstract: Method and device of processing audio signals are disclosed. The method includes: obtaining a set of data, the set of data comprising LSP parameters for an audio signal; determining a set of sampling data points from the set of LSP parameters using a predetermined sampling rule, the set of sampling data points including spectrum amplitude values for a plurality of sampled frequency values; identifying one or more local maxima among the set of sampling data points, and a respective preceding local minimum and a respective succeeding local minimum for each of the identified local maxima; for each of the identified local maxima, shifting one or more of the set of data comprising LSP parameters located between the respective preceding local minimum and the respective succeeding local minimum of an identified local maximum towards the identified local maximum; and adjusting the set of data comprising LSP parameters using an energy coefficient.

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 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: 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: 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: 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: 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: 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: 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: 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.