Abstract: A signal processing terminal is provided that includes a signal transmission circuit and a processor. The signal transmission circuit is configured to receive a first electrical signal and a second electrical signal respectively from a first communication terminal and a second communication terminal, and to attach a first user identification header to the first electrical signal and attach a second user identification header to the second electrical signal. The processor is electrically coupled to the signal transmission circuit, and configured to process the first and second electrical signals according to the first and second user identification headers in sequence within a bus, and to generate and transmit a first and a second processed results back to the signal transmission circuit.

Abstract: Methods, systems, and computer program products for dispatching an incoming event are described. A scoring stack is accessed, the scoring stack comprising an identity of one or more tasks, each task corresponding to one or more scorable functions. A scorable tree is generated based on the one or more scorable functions corresponding to the one or more tasks of the scoring stack and the incoming event is processed using the scorable tree to generate one or more scores. One or more actions identified in the scorable tree are performed based on the one or more scores.

Abstract: Text based searching can return results based on the system determining the searched text includes keywords or search terms. The present solution can return results based on a semantic analysis. The solutions described herein can provide high accuracy compared against the full-text or keyword-based retrieval algorithms. The solution can sort the results by semantic relevance based on the user's input search request. The present solution can provide meaningful results to the user even when the search text does not include the exact search keywords or phrases entered by the user.

Abstract: A method includes receiving a voice command, determining, by a processing device, a first loudness parameter associated with the voice command, generating a voice response to the voice command, and determining a target loudness parameter associated with the voice response in view of the first loudness parameter associated with the voice command.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for sentiment analysis tuning. In one example, the method, includes acquiring a first sentiment analysis-generated score for a first string of text, wherein the first string of text includes a first plurality of words, and wherein the first sentiment analysis-generated score is calculated using a set of first values associated with the first plurality of words, calculating a second value for at least one word of the first plurality of words, based on a non-sentiment-analysis generated score associated with the first string of text, acquiring a second string of text, wherein the second string of text includes a second plurality of words, and wherein the second plurality of words includes the at least one word, and calculating a sentiment analysis-generated score for the second string of text, using the second value for the at least one word.

Abstract: An apparatus includes a speech processing engine configured to receive data corresponding to speech and to determine whether a first characteristic associated with the speech differs from a reference characteristic by at least a threshold amount. The apparatus further includes a selection circuit responsive to the speech processing engine. The selection circuit is configured to select a particular speech codebook from among a plurality of speech codebooks based on the first characteristic differing from the reference characteristic by at least the threshold amount. The particular speech codebook is associated with the first characteristic.

Abstract: Techniques are described for passive authentication based at least partly on collected voice data of a user. During a speech interaction between a user and a personal assistant (PA) device, the user's speech may be analyzed to authenticate the user. The authentication of the user may be a passive authentication, in which the user is not explicitly asked to provide authenticating credentials. Instead, the speech data of the user is collected during the user's interactions with the PA device, and the collected speech data is compared to a previously developed model of the user's speech. The user is successfully authenticated based on determining that there is sufficient correspondence between the collected speech data and the model of the user's speech. After the user is authenticated passively during the conversation, they may be able to access sensitive data or services that may not be otherwise inaccessible without authentication.

Abstract: By way of introduction, the present embodiments described below include apparatuses and methods for generating natural language representations of mental content from functional brain images. Given functional imaging data acquired while a subject reads a text passage, a reconstruction of the text passage is produced. Linguistic semantic vector representations are assigned (1301) to words, phrases or sentences to be used as training stimuli. Basis learning is performed (1305), using brain imaging data acquired (1303) when a subject is exposed to the training stimuli and the corresponding semantic vectors for training stimuli, to learn an image basis directly. Semantic vector decoding (1309) is performed with functional brain imaging data for test stimuli and using the image basis to generate a semantic vector representing the test imaging stimuli. Text generation (1311) is then performed using the decoded semantic vector representing the test imaging stimuli.

Abstract: Methods, systems, and computer program products for bootstrapping of state-based dialog systems are provided herein. A computer-implemented method includes determining parameters for state automata by partitioning an ontology graph into sub-graphs and a knowledge graph into sub-graphs, wherein the ontology graph and the knowledge graph are based on a user question and domain knowledge pertaining to the user question; generating a structured query for each of the sub-graphs; determining intentions of a dialog pertaining to the at least one user question by translating each of the generated structured queries to a respective natural language query; creating one or more dialog states for each of the determined dialog intentions; creating one or more connecting dialog states between pairs of the created dialog states; and generating an automata dialog framework associated with the user question based on the created dialog states and the created connecting dialog states.

Abstract: A method of question answering from multilingual information sources is disclosed. The present invention discloses a method, a computer system and a program product for selecting an information source language of an information source, the method includes: receiving a question; analyzing the question to obtain a category information of a word included in the question; obtaining a word included in the category information as estimated topic or region related to the question; determining a candidate for an information source language using the estimated topic or region; and selecting the information source language and corresponding information sources for retrieving documents to generate an answer of the question.

Abstract: Methods and systems are provided for communicating an announcement to passengers on a transportation vehicle. For example, one method includes providing an information system on the vehicle having at least one of a wireless access point and a plurality of seat display devices and operating the information system to communicate with the wireless access point or the seat display devices. The method includes playing audio corresponding to the announcement over a public address system of the vehicle, and causing text corresponding to the audio to display on the seat display devices or personal electronic devices in communication with the wireless access point.

Abstract: A method of verifying a user identity using a Web-based multimodal interface can include sending, to a remote computing device, a multimodal markup language document that, when rendered by the remote computing device, queries a user for a user identifier and causes audio of the user's voice to be sent to a multimodal, Web-based application. The user identifier and the audio can be received at about a same time from the client device. The audio can be compared with a voice print associated with the user identifier. The user at the remote computing device can be selectively granted access to the system according to a result obtained from the comparing step.

Abstract: A method, a system, and a computer program product are provided. A training set of adverse event text fragments assigned to medical codes is analyzed to determine first text fragments having frequently occurring medical code assignments and second text fragments having infrequently occurring medical code assignments. The training set is modified to undersample the first text fragments and to oversample the second text fragments such that the text fragments of the modified training set correspond to a substantially uniform assignment of the medical codes. At least one machine learning model is generated and trained with the modified training set. Some parameters of the at least one machine learning model are updated based on errors detected during the training. After completing the training, an adverse event text fragment is applied to the at least one machine learning model to assign at least one medical code.

Abstract: According to an embodiment, a speech recognition apparatus includes a calculation unit that calculates, based on a speech signal, a score vector sequence including score vectors including an acoustic score for each of input symbols, a search unit that generates an input symbol string by searching for a path of the input symbol tracing the acoustic score having a high likelihood in the score vector sequence and that generates an output symbol representing a recognition result of the speech signal based on a recognition target symbol representing linguistic information as a recognition target among the input symbols, an additional symbol acquisition unit that obtains an additional symbol representing paralinguistic information and/or non-linguistic information from among the input symbols included in a range corresponding to the output symbol, and an output unit that outputs the output symbol and the obtained additional symbol in association with each other.

Abstract: Methods, systems, and computer-readable storage media for voice denoising. Implementations include actions of performing a mathematical transform on each frame signal in an audio signal segment to generate multiple power spectra. Each power spectrum corresponds to a respective frame signal. Power value variances corresponding to frame signals at various frequencies are determined. A noise signal is identified in each frame signal based on the power value variance. The identified noise signal is removed from each frame signal of the plurality of frame signals.

Abstract: Systems and methods for constructing an artificially diverse corpus of training data includes evaluating a corpus of utterance-based training data samples, identifying a slot replacement candidate; deriving distinct skeleton utterances that include the slot replacement candidate, wherein deriving the distinct skeleton utterances includes replacing slots of each of the plurality of distinct utterance training samples with one of a special token and proper slot classification labels; selecting a subset of the distinct skeleton utterances; converting each of the distinct skeleton utterances of the subset back to distinct utterance training samples while still maintaining the special token at a position of the slot replacement candidate; altering a percentage of the distinct utterance training samples with a distinct randomly-generated slot token value at the position of the slot replacement candidate; and constructing the artificially diverse corpus of training samples based on a collection of the percentage of

Abstract: Disclosed is an apparatus and method for determining which controllable device an audible command is directed towards, the method comprising: receiving at each of two or more controlling devices the audible command signal, the audible command being directed to control at least one of two or more controllable devices controlled by a respective one of the two or more controlling devices; digitizing each of the received audible command signals; attaching a unique identifier to each digitized audible command so as to uniquely correlate it to a respective controlling device; determining a magnitude of each of the digitized audible command; determining a digitized audible command with the greatest magnitude, and further determining to which controlling device the audible command is directed to on the basis of the unique identifier associated with the digitized audible command with the greatest magnitude; performing speech recognition on the digitized audible command with the greatest magnitude; and forwarding a com

Abstract: An apparatus for processing an input audio signal relies on a cascade of filterbanks, the cascade having a synthesis filterbank for synthesizing an audio intermediate signal from the input audio signal, the input audio signal being represented by a plurality of first subband signals generated by an analysis filterbank, wherein a number of filterbank channels of the synthesis filterbank is smaller than a number of channels of the analysis filterbank. The apparatus furthermore has a further analysis filterbank for generating a plurality of second subband signals from the audio intermediate signal, wherein the further analysis filterbank has a number of channels being different from the number of channels of the synthesis filterbank, so that a sampling rate of a subband signal of the plurality of second subband signals is different from a sampling rate of a first subband signal of the plurality of first subband signals.

Abstract: Disclosed is an apparatus and method for determining which controllable device an audible command is directed towards, the method comprising: receiving at each of two or more controlling devices the audible command signal, the audible command being directed to control at least one of two or more controllable devices controlled by a respective one of the two or more controlling devices; digitizing each of the received audible command signals; attaching a unique identifier to each digitized audible command so as to uniquely correlate it to a respective controlling device; determining a magnitude of each of the digitized audible command; determining a digitized audible command with the greatest magnitude, and further determining to which controlling device the audible command is directed to on the basis of the unique identifier associated with the digitized audible command with the greatest magnitude; performing speech recognition on the digitized audible command with the greatest magnitude; and forwarding a com

Abstract: Embodiments relate to an intelligent computer platform to provide a contextual analogy response. The aspect of providing a contextual analogy response includes denoting an analogy phrase within a communication. An anaphora within the analogy phrase is detected and a set of sentences are parsed into grammatical components wherein the grammatical type for each parsed component is identified. A sentence is created with the detected anaphora and an action term from the analogy phrase. The set of sentences and the analogy phrase are matched with the identified components that are assigned to a solved analogy association. A related contextual response is attached to the solved analogy association to generate the outputted analogy response.