Abstract: Word phrases are stored in a phrase structure. Each word is stored as a keyword in a keyword structure. Each keyword is associated with usage attributes identifying use of a word in a word phrase. Any preceding words associated with a keyword, and a mapping from any preceding words to a word phrase, is stored for each word. A word string is input. Match attributes are updated in a match structure if a word in the word string matches any keyword and if any preceding words associated with any matching keyword includes a preceding word which precedes the word in the word string. The match attributes indicate use of the matching word in the word string and in a word phrase. Whether a word phrase is present in the word string is determined based on the usage attributes and the match attributes associated with multiple matching words.

Abstract: Embodiments reduce the complexity of speaker dependent speech recognition systems and methods by representing the code phrase (i.e., the word or words to be recognized) using a single Gaussian Mixture Model (GMM) which is adapted from a Universal Background Model (UBM). Only the parameters of the GMM need to be stored. Further reduction in computation is achieved by only checking the GMM component that is relevant to the keyword template. In this scheme, keyword template is represented by a sequence of the index of best performing component of the GMM of the keyword model. Only one template is saved by combining the registration template using Longest Common Sequence algorithm. The quality of the word model is continuously updated by performing expectation maximization iteration using the test word which is accepted as keyword model.

Abstract: A method comprising using at least one hardware processor for: receiving (a) a proposition and (b) a plurality of claims; identifying a local claim polarity of each claim of the plurality of claims with respect to the proposition; calculating a pairwise claim polarity agreement score for each pair of claims of the pairs of claims reflecting the likelihood of said each pair of claims to have the same claim polarity, wherein the pairwise claim polarity agreement score is associated with each claim of the pair of claims; and determining a global claim polarity for each claim of the plurality of claims based on the local claim polarity of the claim and pairwise claim polarity agreement scores associated with said each claim.

Abstract: Embodiments include a method, apparatus, and computer program product for authentication for speech recognition. The method can include sensing an authentication device with a target device. One or more decoded voice commands can be processed after verification of the authentication device by the target device. Further, one or more decoded voice commands can be executed by the target device.

Abstract: The technology described herein can be embodied in a method that includes receiving an audio signal encoding a portion of an utterance, and providing, to a first neural network, data corresponding to the audio signal. The method also includes generating, by a processor, data representing a transcription for the utterance based on an output of the first neural network. The first neural network is trained using features of multiple context-dependent states, the context-dependent states being derived from a plurality of context-independent states provided by a second neural network.

Abstract: A system and method for matching phrases having arbitrary text. A first data structure stores a list of common phrases having multiple words. Each unique word is indexed in a hash table and mapped to one or more values that describe attributes of using the word in one or more of the common phrases. Using the hash table and the list of common phrases, a temporary array is defined to keep track of possible matches between words in an input string and the list of common phrases.

Abstract: An automated arrangement is described for conducting natural language interactions with a human user. A user interface is provided for user communication in a given active natural language interaction with a natural language application during an automated dialog session. An automatic speech recognition (ASR) engine processes unknown user speech inputs from the user interface to produce corresponding speech recognition results. A natural language concept module processes the speech recognition results to develop corresponding natural language concept items. A concept item storage holds selected concept items for reuse in a subsequent natural language interaction with the user during the automated dialog session.

Abstract: An automatic content recognition system that includes a user device for the purpose of capturing audio and generating an audio signature. The user device may be a smartphone or tablet. The system is also capable of determining whether a user device is in motion and refraining from audio monitoring and/or generating audio signatures when the user device is in motion. Motion may also be used to reduce the frequency of audio monitoring and/or signature generation. The system may have a database within the user device or the user device may communicate with a server having a database that contains reference audio signatures.

Abstract: A system including a memory storing a meaning taxonomy is provided. The meaning taxonomy includes meaning loaded entities and associations between meaning loaded entities and syntactic structures. Each association links a meaning loaded entity to a syntactic structure. The system includes a processor coupled with the memory and components executable by the processor configured to receive content generated by a source, the content including syntactic structures, identify meaning loaded entities that are linked to the syntactic structures by associations, calculate a content summary indicating a level of coverage of the meaning loaded entities within the content, and provide a representation of the summary to an external entity.

Abstract: Embodiments of the disclosure generally relate to a dialog system allowing for automatically reactivating a speech acquiring mode after the dialog system delivers a response to a user request. The reactivation parameters, such as a delay, depend on a number of predetermined factors and conversation scenarios. The embodiments further provide for a method of operating of the dialog system. An exemplary method comprises the steps of: activating a speech acquiring mode, receiving a first input of a user, deactivating the speech acquiring mode, obtaining a first response associated with the first input, delivering the first response to the user, determining that a conversation mode is activated, and, based on the determination, automatically re-activating the speech acquiring mode within a first predetermined time period after delivery of the first response to the user.

Abstract: Provided is a method for user communications with an information dialog system, which may be used for organizing user interactions with the information dialog system based on a natural language. The method may include activating a user input subsystem in response to a user entering a request; receiving and converting the request of the user into text by the user input subsystem; sending the text obtained as a result of the conversion of the request to a dialog module; processing, by the dialog module, the text; forming, by the dialog module, the response to the request; sending the response to the user; and displaying and/or reproducing the formed response, where, after the displaying and/or the reproducing of the formed response, the user input subsystem is automatically activated upon entering a further request or a clarification request by the user.

Abstract: Presented herein are techniques to reduce error probability and eliminate the lingering signal that causes problems during audio signal data transmission. An electroacoustic transducer of a first electronic device receives a data encoded audio signal that includes modulated digital data therein. The data encoded audio signal is demodulated to produce a present input signal that includes a target frequency and a lingering effect of a previously received data encoded audio signal. Lingering cancellation is performed on the present input signal to produce a present output signal from which the lingering effect of the previously received data encoded audio signal has been removed.

Abstract: Methods and systems of text independent speaker recognition provide a complexity comparable to text dependent speaker recognition system. These methods and systems exploit the fact that speech is a quasi-stationary signal and simplify the recognition process based on this theory. The speaker modeling allows a speaker profile to be updated progressively with new speech samples that are acquired during usage over time by the speaker.

Abstract: An operation assisting method comprising, comparing an input spoken voice with a preliminarily stored keyword associated with an operation target to obtain an evaluation value of likelihood that the keyword is included in the spoken voice, and determining whether or not the keyword was spoken, based on the evaluation value of likelihood where it is determined that the keyword was spoken if the evaluation value of likelihood exceeds a threshold value, detecting whether or not eyes of a user are directed at the operation target. A threshold value is decreased in cases where the eyes of the user are directed at the operation target and where the evaluation value of the spoken voice falls within a predetermined range.

Abstract: Embodiments that relate to identifying potential cross-language speech recognition problems are disclosed. For example, in one disclosed embodiment a speech recognition problem detection program receives a target word in a non-native language from a target application. A phonetic transcription of the target word comprising a plurality of target phonetic units is acquired. The program determines that at least one of the target phonetic units is not found in a plurality of native phonetic units associated with a native language. In response, a warning of the potential cross-language speech recognition problem may be outputted for display on a display device. The warning may comprise the target word.

Abstract: Methods and apparatuses for entry of character data are disclosed. In one example, a user action is received at a headset input user interface. The user action is correlated to a character data previously stored. The character data is transmitted to a host device, the character data configured to be automatically entered in one or more data fields.

Abstract: A method of utilizing a speech assistant, the speech assistant designed to provide a voice input and speech output capability, the method comprising, enabling the use of the speech assistant for communication with a user, and terminating the speech assistant when the communication is complete. The method further comprises receiving a notification from a native application associated with the communication, and activating a sub-portion of the speech assistant, to enable outputting of the notification using speech output, thereby enabling the use of speech output for periodic announcements without enabling the speech assistant.

Abstract: Various of the disclosed embodiments relate to systems and methods for extracting audio information, e.g. a textual description of speech, from a speech recording while retaining the anonymity of the speaker. In certain embodiments, a third party may perform various aspects of the anonymization and speech processing. Certain embodiments facilitate anonymization in compliance with various legislative requirements even when third parties are involved.

Abstract: A system has a speech recognition unit 2 including a first recognition engine capable of recognizing predetermined word strings and a second recognition engine capable of recognizing parts of the word strings; and a deciding unit 4 that selects, in accordance with a difference between the durations of first and second recognition resulting candidates, which are recognition results of the speech recognition by the first and second recognition engines 2a and 2b, one or more probable recognition resulting candidates from the first and second recognition resulting candidates.

Abstract: An operation assisting method comprising comparing input spoken voices with a preliminarily stored keyword associated with an operation target and determining whether or not the keyword is spoken, determining whether or not similarity between or among the input spoken voices falls within a predetermined range. In a case where it is determined that the keyword is not spoken, determining whether or not eyes of a user are directed at the operation target, and in a case of the similarity falling within the predetermined range, determining that the keyword is spoken, in a case of being determined that the eyes of the user are directed at the operation target.