Abstract: Techniques for using enhanced logit values for classifying utterances and messages input to chatbot systems in natural language processing. A method can include a chatbot system receiving an utterance generated by a user interacting with the chatbot system and inputting the utterance into a machine-learning model including a series of network layers. A final network layer of the series of network layers can include a logit function. The machine-learning model can map a first probability for a resolvable class to a first logit value using the logit function. The machine-learning model can map a second probability for a unresolvable class to an enhanced logit value. The method can also include the chatbot system classifying the utterance as the resolvable class or the unresolvable class based on the first logit value and the enhanced logit value.

Abstract: According to one aspect, a method for detecting a location from which at least one sound signal originates, includes obtaining, on a microphone array of a vehicle, the at least one sound signal from a sound source, the sound source being external to the vehicle, the vehicle having a plurality of sides. The method also includes identifying, based on at least one measure associated with the at least one sound signal as obtained on the microphone array, at least a first side of the plurality of sides as being closest to the sound source.

Abstract: A speech recognition system includes: a speech processor configured to identify an intention of a user included in an utterance of the user; a controller configured to identify whether a function corresponding to the intention of the utterance is performable, and if the function corresponding to the intention of the utterance is not performable, generate spoken text for requesting an other speech recognition system to perform the function corresponding to the intention of the user; and an utterance generator configured to convert the spoken text into a speech signal of an inaudible frequency band.

Abstract: The present disclosure provides an electronic device and a control method therefor. The electronic device of the present disclosure comprises: a voice reception unit; and a processor for, when a first user voice and a second user voice are received through the voice reception unit, determining whether the second user voice corresponds to a candidate of utterance subsequent to the first user voice on the basis of a result obtained by dividing a plurality of attributes of the second user voice according to a predefined attribute, and controlling the electronic device to perform an operation corresponding to the second user voice on the basis of the intent of the second user voice obtained through a result of the determination.

Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.

Abstract: Implementations described herein are directed to enabling collaborative ranking of interpretations of spoken utterances based on data that is available to an automated assistant and third-party agent(s), respectively. The automated assistant can determine first-party interpretation(s) of a spoken utterance provided by a user, and can cause the third-party agent(s) to determine third-party interpretation(s) of the spoken utterance provided by the user. In some implementations, the automated assistant can select a given interpretation, from the first-party interpretation(s) and the third-party interpretation(s), of the spoken utterance, and can cause a given third-party agent to satisfy the spoken utterance based on the given interpretation.

Abstract: Provided is a display control device including: a voice receiver configured to receive a voice utterance from a user; a communication unit configured to receive information for the voice utterance from a server via a network; and a controller configured to select an item corresponding to the voice utterance on the basis of the information that has been received, and configured to control an action in response to the item that has been selected, in which the item includes a first item in an inside of a display screen and a second item that becomes displayable by scrolling, and the controller selects either the first item or the second item on the basis of the information that has been received. The present technology is applicable to, for example, a television receiver.

Abstract: Disclosed is a wireless communication device including a voice recognition portion configured to convert a voice signal input through a microphone into a syllable information stream using voice recognition, an encoding portion configured to encode the syllable information stream to generate digital transmission data, a transmission portion configured to modulate from the digital transmission data to a transmission signal and transmit the transmission signal through an antenna, a reception portion configured to demodulate from a reception signal received through the antenna to a digital reception data and output the digital reception data, a decoding portion configured to decode the digital reception data to generate the syllable information stream and a voice synthesis portion configured to convert the syllable information stream into the voice signal using voice synthesis and output the voice signal through a speaker.

Abstract: Techniques are described for maintaining contextual data to support content-related actions. In an example, a system stories second content at a source. The source is associated with first content. The system sends, to a device, an object that indicates the first content. From the device at a first time, the system receives first data indicating a first request for the second content and including source information that indicates the source. From the device at a second time, the system receives second data indicating a second request for the second content, the second data including the source information, the first data and the second data received at a frequency indicated by the object. The system determines that the requests are associated with the first content based on the source information included in the received data, and stores third data indicating a presentation of the first content by the device.

Abstract: A question answering system includes: a neural network tokenizer module configured to determine a token representation of a question to be answered and token representations of candidate paragraphs of a present reasoning path for the question, respectively; a neural network module configured to: transform the token representation of the question and the token representations of the candidate paragraphs of the present reasoning path into vector representations; and append a first variable to the vector representations to produce a second variable; a search module configured to: select the candidate paragraphs from a knowledge database to extend a present reasoning path based on lexical relevance of the candidate paragraphs to the question; and selectively add ones of the candidate paragraphs to the present reasoning path; and an answer inference network module configured to selectively determine an answer to the question based on multiple different portions of the present reasoning path.

Abstract: An apparatus and method of blind detection of binauralized audio. If the input content is detected as binaural, a second binauralization may be avoided. In this manner, the user experience avoids audio artifacts introduced by multiple binauralizations.

Abstract: A system and method are disclosed for generating a teleconference space for two or more initial communication devices using a computer coupled with a database and including a processor and memory. The computer generates a teleconference space and transmits requests to join the teleconference space to the two or more initial communication devices. The computer stores in memory identification information, and audiovisual data associated with one or more users, for each of the two or more initial communication devices. The computer transmits audiovisual teleconference data to each of the two or more initial communication devices. The computer transmits a request to join the teleconference space to a third communication device, stores identification information and audiovisual data from the third communication device, and transmits audiovisual teleconference data that includes audiovisual data from the third communication device to each of the three or more communication devices.

Abstract: Devices and techniques are generally described for iterative theme discovery in text. In some examples, first text data that is separated into a plurality of documents may be received. In some examples, a codebook comprising a first topic associated with a first set of keywords and a second topic associated with second set of keywords may be identified. Instructions to modify the codebook to generate a modified codebook may be received. The instructions may be effective to add to, delete from, and/or modify at least one of the keywords of the first set of keywords or the first topic. In some further examples, a first document of the plurality of documents may be tagged with the first topic based at least in part on the first keywords of the modified codebook. In some examples, output data may be generated that indicates that the first document pertains to the first topic.

Abstract: One or more neural network layers are implemented by respective sets of signed multiply-accumulate units that generate dual analog result signals indicative of positive and negative product accumulations, respectively. The two analog result signals and thus the positive and negative product accumulations are differentially combined to produce a merged analog output signal that constitutes the output of a neural node within the subject neural network layer.

Abstract: Methods, systems, and media for ambient background noise modification are provided. In some implementations, the method comprises: identifying at least one noise present in an environment of a user having a user device, an activity the user is currently engaged in, and a physical or emotional state of the user; determining a target ambient noise to be produced in the environment based at least in part on the identified noise, the activity the user is currently engaged in, and the physical or emotional state of the user; identifying at least one device associated with the user device to be used to produce the target ambient noise; determining sound outputs corresponding to each of the one or more identified devices, wherein a combination of the sound outputs produces an approximation of one or more characteristics of the target ambient noise; and causing the one or more identified devices to produce the determined sound outputs.

Abstract: A processor-implemented method trains an automatic speech recognition system using speech data and text data. A computer device receives speech data, and generates a spectrogram based on the speech data. The computing device receives text data associated with an entire corpus of text data, and generates a textogram based upon the text data. The computing device trains an automatic speech recognition system using the spectrogram and the textogram.

Abstract: The present disclosure relates to a display apparatus including a display panel, a bezel surface formed on a boundary of the display panel, and an antenna located on the bezel surface, wherein the antenna includes an antenna body extending in a horizontal direction to the bezel surface, an extension body provided on one side or opposite sides of the antenna body, and a frequency variable device configured to selectively electrically connect the antenna body and the extension body.

Abstract: Example techniques involve controlling playback volumes. An example implementation includes displaying a group volume control of a synchrony group, the group volume control comprising a group volume indicator on a group volume slider and receiving, via the displayed group volume control, input data representing a selection of the group volume control. The implementation also includes displaying, concurrently with the group volume control, a first volume control comprising a first volume indicator on a first volume slider and a second volume control comprising a second volume indicator on a second volume slider. The implementation also includes receiving, via the displayed group volume control, input data representing an input to modify a first volume setting of the synchrony group to a second volume setting and transmitting instructions to cause the synchrony group to modify volume settings according to the second volume setting of the synchrony group.

Abstract: Embodiments are disclosed for determining an answer to a query associated with a graphical representation of data. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including an unprocessed audio sequence and a request to perform an audio signal processing effect on the unprocessed audio sequence. The one or more embodiments further include analyzing, by a deep encoder, the unprocessed audio sequence to determine parameters for processing the unprocessed audio sequence. The one or more embodiments further include sending the unprocessed audio sequence and the parameters to one or more audio signal processing effects plugins to perform the requested audio signal processing effect using the parameters and outputting a processed audio sequence after processing of the unprocessed audio sequence using the parameters of the one or more audio signal processing effects plugins.

Abstract: An information processing apparatus that includes a deciding unit that decides character representation related to speech-to-text conversion of a verbal action performed by a user is provided. The deciding unit decides the character representation for each detected verbal action section based on a detected non-verbal action of the user. Furthermore, an information processing method that causes a processor to execute a process for deciding character representation related to speech-to-text conversion of a verbal action performed by the user is provided. The process further includes a process for deciding the character representation for each detected verbal action section based on a detected non-verbal action performed by the user.