Abstract: Techniques for interacting with a portion of a content item through a virtual assistant are described herein. The techniques may include identifying a portion of a content item that is relevant to user input and causing an action to be performed related to the portion of the content item. The action may include, for example, displaying the portion of the content item on a smart device in a displayable format that is adapted to a display characteristic of the smart device, performing a task for a user that satisfies the user input, and so on.

Abstract: Phoneme boundaries may be determined from a signal corresponding to recorded audio by extracting auditory attention features from the signal and extracting phoneme posteriors from the signal. The auditory attention features and phoneme posteriors may then be combined to detect boundaries in the signal.

Abstract: Embodiments of the invention provide systems and methods for representing a plurality of languages in a lexicon based on a unified language model. More specifically, embodiments of the present invention utilize a language model that focuses on commonalities within a particular language and between languages. Such commonalities may be based on rhyming of the words, other patterns within the words, and more generally, prosody of the words, phrases, and/or language overall. Prosody is commonly defined as the rhythm, stress, and intonation of the language when spoken. Using a language model defining such characteristics for one or more languages, embodiments of the present invention can define a lexicon for those one or more languages. In this lexicon, words and phrases of the one or more languages can be represented and classified into groups based on the commonalities between them.

Abstract: A tuning system for tuning a speech recognition system includes a transmitter for sending a user response to a speech recognition system. The user response is based at least in part on a test stimulus that may be generated by the control system. A receiver receives a recognized response from the speech recognition system; this recognized response is based at least in part on the associated user response. An adjustment module adjusts at least one parameter of the speech recognition system based at least in part on at least one of the test stimulus, the associated user response, and the recognized response.

Abstract: Webpage content is sent to a user's web browser in a neutral format. On the user's web browser the webpage content is translated by a transformation application into the appropriate language and locale. A Language template file that contains the internationalization and localization data and processing components is loaded onto a browser and is used by the transformation application to render the final data to the user. The transformation application can render a new language and locale by loading an appropriate language template file.

Abstract: In delivering text-to-speech (TTS) results to a user, the time between the user request and delivery of initial TTS results is reduced using one or more of various techniques. Caching of TTS results may be reconfigured to cache unit indices rather than full speech synthesis results. More powerful computing resources may be dedicated to early TTS processing. A user may be notified of TTS results prior to complete processing of a TTS request. Early TTS processing may be performed by a local device and then passed to a remote device.

Abstract: System and method to adjust an automatic speech recognition (ASR) engine, the method including: receiving social network information from a social network; data mining the social network information to extract one or more characteristics; inferring a trend from the extracted one or more characteristics; and adjusting the ASR engine based upon the inferred trend. Embodiments of the method may further include: receiving a speech signal from a user; and recognizing the speech signal by use of the adjusted ASR engine. Further embodiments of the method may further include: producing a list of candidate matching words; and ranking the list of candidate matching words by use of the inferred trend.

Abstract: A speech processing engine of an HSC device transcribes user utterance input and displays resulting text on a microdisplay. The speech processing engine further provides to the user text editing functions and auto suggestions. The user interface utilizes head gesture control and natural language for text editing. Standard language dictionaries, user's dictionary and user's address book contacts data are utilized.

Abstract: A method for voice control component installation is described. In one embodiment, a speech recognizable input spoken by an installer is identified, the speech recognizable input relating to installation of a system component. The system component is in communication with a control panel. An installation task for the system component is performed according to the speech recognizable input.

Abstract: Deep scattering spectral features are extracted from an acoustic input signal to generate a deep scattering spectral feature representation of the acoustic input signal. The deep scattering spectral feature representation is input to a speech recognition engine. The acoustic input signal is decoded based on at least a portion of the deep scattering spectral feature representation input to a speech recognition engine.

Abstract: The effectiveness of targeted content delivery at a multi-user interface can be directly linked to a proper targeting of users. A way of improving targeted content delivery at a multi-user interface can be to determine which users should be targeted based on one or more criteria. The present technology provides various methodologies for selecting one or more users associated with a multi-user interface to receive targeted content. Such users can be selected based on criteria associated with a ranking or priority of the users, criteria associated with an analysis of their interactions with the multi-user interface, criteria based on their most common characteristics, or any combination thereof. The user characteristics associated with such identified used can then be utilized to determine which content should be delivered to the multi-user interface.

Abstract: Systems, methods, and computer-readable storage devices for receiving an utterance from a user and analyzing the utterance to identify the demographics of the user. The system then analyzes the utterance to determine the prosody of the utterance, and retrieves from the Internet data associated with the determined demographics. Using the retrieved data, the system retrieves, also from the Internet, recorded speech matching the identified prosody. The recorded speech, which is based on the demographic data of the utterance and has a prosody matching the utterance, is then saved to a database for future use in generating speech specific to the user.

Abstract: A system and method are provided for improving speech recognition accuracy. Contextual information about user speech may be received, and then speech recognition analysis can be performed on the user speech using the contextual information. This allows the system and method to improve accuracy when performing tasks like searching and navigating using speech recognition.

Abstract: The present disclosure provides methods and systems for performing syntactic analysis of a text. In some implementations the method includes performing rough syntactic analysis of the text, generating a graph of generalized constituents of the text and filtering arcs of the graph of generalized constituents with a combination classifier which includes a tree classifier and one or more linear classifiers. The combination classifier is trained using parallel analysis of an untagged two-language text corpus.

Abstract: An inventive system and method for touch free operation of a device is presented. The system can comprise a depth sensor for detecting a movement, motion software to receive the detected movement from the depth sensor, deduce a gesture based on the detected movement, and filter the gesture to accept an applicable gesture, and client software to receive the applicable gesture at a client computer for performing a task in accordance with client logic based on the applicable gesture. The client can be a mapping device and the task can be one of various mapping operations. The system can also comprise hardware for making the detected movement an applicable gesture. The system can also comprise voice recognition providing voice input for enabling the client to perform the task based on the voice input in conjunction with the applicable gesture. The applicable gesture can be a movement authorized using facial recognition.

Abstract: A communication device includes a memory, and a processor coupled to the memory, configured to extract a component of a voice signal that is input, detect a speech rate of the voice signal, adjust the extracted component, based on the detected speech rate, and add the adjusted component to the voice signal to expand a band of the voice signal.

Abstract: A computer-implemented method for producing healthcare data records from graphical inputs by computer users includes receiving, on a graphical user interface of a computer system, a user identification of a diagnosis for a patient, the user identification produced by user selection on the graphical user interface; identifying one or more parameters that characterize the diagnosis; displaying on the graphical user interface a plurality of selectable values for particular ones of identified parameters; receiving sequential user selections representations of particulars ones of the values; and generating an electronic medical record representation that represents the identified diagnosis having the selected values for the one or more parameters.

Abstract: According to one exemplary embodiment, a method for updating an audio dictionary is provided. The method may include receiving at least one audio file within a plurality of audio files associated with a term. The method may also include receiving at least one user evaluation associated with the at least one audio file, the at least one user evaluation being based on a correlation between nationality characteristics associated with the received at least one audio file and the at least one user evaluation. The method may further include assigning a ranking to the at least one audio file within the plurality of audio files based on the received at least one user evaluation associated with the at least one audio file, wherein the assigned ranking is from a lowest ranking to a highest ranking. The method may also include adding the assigned highest ranking audio file into the audio dictionary.

Abstract: Embodiments of systems and methods are described for inverting transformations of signals due to room acoustics. In some implementations, a transformation of a calibration signal from a particular location in a room may be determined. From this transformation, an inverse transformation may be determined and the inverse transformation may be applied to a speech signal received from a similar location.

Abstract: According to one exemplary embodiment, a method for updating an audio dictionary is provided. The method may include receiving at least one audio file within a plurality of audio files associated with a term. The method may also include receiving at least one user evaluation associated with the at least one audio file, the at least one user evaluation being based on a correlation between nationality characteristics associated with the received at least one audio file and the at least one user evaluation. The method may further include assigning a ranking to the at least one audio file within the plurality of audio files based on the received at least one user evaluation associated with the at least one audio file, wherein the assigned ranking is from a lowest ranking to a highest ranking. The method may also include adding the assigned highest ranking audio file into the audio dictionary.