An apparatus is provided for speech utterance verification. The apparatus is configured to compare a first prosody component from a recorded speech with a second prosody component for a reference speech. The apparatus determines a prosodic verification evaluation for the recorded speech utterance in dependence of the comparison.

Apparatus and method for speech utterance verification

Described is a technology by which synthesized speech generated from text is evaluated against a prosody model (trained offline) to determine whether the speech will sound unnatural. If so, the speech is regenerated with modified data. The evaluation and regeneration may be iterative until deemed natural sounding. For example, text is built into a lattice that is then (e.g., Viterbi) searched to find a best path. The sections (e.g., units) of data on the path are evaluated via a prosody model. If the evaluation deems a section to correspond to unnatural prosody, that section is replaced, e.g., by modifying/pruning the lattice and re-performing the search. Replacement may be iterative until all sections pass the evaluation. Unnatural prosody detection may be biased such that during evaluation, unnatural prosody is falsely detected at a higher rate relative to a rate at which unnatural prosody is missed.

Unnatural prosody detection in speech synthesis

A method for detecting a character or a word emphasized by a user from a voice inputted in a mobile terminal to refer it as meaningful information for a voice recognition, or emphatically displaying the user-emphasized character or word in a pre-set format when the inputted voice is converted into text, and a mobile terminal implementing the same are disclosed. The mobile terminal includes: a microphone to receive a voice of user; a controller to convert the received voice into corresponding text and detect a character or a word emphatically pronounced by the user from the voice; and a display unit to emphatically display the detected character or word in a pre-set format when the converted text is displayed.

Mobile terminal and method for recognizing voice thereof

Techniques are described for calculating one or more verbal fluency scores for a person. An example method includes classifying, by a computing device, samples of audio data of speech of a person, based on amplitudes of the samples, into a first class of samples including speech or sound and a second class of samples including silence. The method further includes analyzing the first class of samples to determine a number of words spoken by the person, and calculating a verbal fluency score for the person based at least in part on the determined number of words spoken by the person.

Automated verbal fluency assessment

A method and apparatus for managing data in a software defined network (400). The apparatus is configured to receive control information related to a source node (502a) and a target node (502b) from a plurality of network devices (404,406,412) in the software defined network (400). The apparatus is also configured to identify a route (510-522) for data forwarding between the source node (502a) and the target node (502b) based on the control information. The apparatus is also configured to request data forwarding to the plurality of network devices according to the route. The source node (502a) or the target node (502b) can be at least one of a user equipment (UE) (300), and a cellsite node (474) including at least a base station (404).

Mobile software defined networking (mobisdn)

A method and apparatus for generating a pronunciation score by receiving a user phrase intended to conform to a reference phrase and processing the user phrase in accordance with at least one of an articulation-scoring engine, a duration scoring engine and an intonation-scoring engine to derive thereby the pronunciation score. The scores provided by the various scoring engines are adapted to provide a visual and/or numerical feedback that provides information pertaining to correctness or incorrectness in one or more speech-features such as intonation, articulation, voicing, phoneme error and relative word duration. Such useful interactive feedback will allow a user to quickly identify the problem area and take remedial action in reciting “tutor” sentences or phrases.

Method and apparatus for providing an interactive language tutor

Embodiments of the present disclosure relate to a distributed video conference system that allows for distributed media routing and contextual provisioning of a conference based upon static and dynamic variables in real-time, moderator control, and/or user control. In embodiments, the distributed video conference system provides a cloud-based interoperability platform that different endpoints having different capabilities can access to participate with each other in a conference. Contextual provisioning may be employed to adjust the settings for a conference and to select the different components (e.g., hardware and software components) that are employed in the conference. A decision engine may perform the contextual provisioning in real-time to provide an optimal conference experience based upon static and dynamic variables.

Cloud-based interoperability platform for video conferencing

Embodiments of the present disclosure relate to a system implemented using a software-defined network (SDN) interoperability architecture for performing video conferencing. Embodiments of the present disclosure provide a decision engine application, a decision engine controller, and a media processing resources (MPRs) that provide conferencing capabilities. The system implemented using a software-defined network (SDN) interoperability architecture allows for distributed media routing and contextual provisioning of a conference based upon static and dynamic variables in real-time, moderator control, and/or user control. Contextual provisioning may be employed to adjust the settings for a conference and to select the different components (e.g., hardware and software components) that are employed in the conference based upon static and dynamic variables. Additional embodiments of the present disclosure relate to distributing decoded streams between video conferencing components and performing capacity management by basing determinations upon state information and costs involved in allocating resources in a cloud environment.

Cloud-based interoperability platform using a software-defined networking architecture

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Method and apparatus for providing an interactive language tutor

Cloud-based interoperability platform for video conferencing

Cloud-based interoperability platform using a software-defined networking architecture