Embodiments relate to enhancing haptic communication by using two or more cutaneous actuators to create constructive or destructive interference patterns on the receiving user's skin. The actuator signals for the two or more cutaneous actuators are shaped and generated so that the two or more cutaneous actuators cause vibrations on the receiving user's patch of skin to increase or decrease. In this way, various enhancement to haptic communication can be achieved.

Embodiments relate to performing haptic communication using frequency decomposition of speech where dominant frequencies of a speech is detected at a speech source and then sent to a signal generator to actuate actuators mapped to the dominant frequencies. The digitized version of the speech is segmented into a plurality of frames and then a predetermined number of dominant frequencies are detected from each frame. The dominant frequencies of frequencies are sent over to the signal generator so that the actuators corresponding to the dominant frequencies are activated for a time period corresponding to the frame.

A haptic calibration device comprises a signal generator configured to receive the subjective force value and the force location from a subjective magnitude input device. The signal generator also receives from at least one of a plurality of haptic sensors a sensor voltage value, with the at least one of the plurality of haptic sensors corresponding to the force location. The signal generator stores the subjective force value and the corresponding sensor voltage value in a data store. The signal generator generates a calibration curve indicating a correspondence between subjective force values and sensor voltage values for the location where the subjective force was experienced using the data from the data store, wherein the calibration curve is used to calibrate a haptic feedback device.

A haptic communication device includes a speech signal generator configured to receive speech sounds or a textual message and generate speech signals corresponding to the speech sounds or the textual message. An envelope encoder is operably coupled to the speech signal generator to extract a temporal envelope from the speech signals. The temporal envelope represents changes in amplitude of the speech signals. Carrier signals having a periodic waveform are generated. Actuator signals are generated by encoding the changes in the amplitude of the speech signals from the temporal envelope into the carrier signals. One or more cutaneous actuators are operably coupled to the envelope encoder to generate haptic vibrations representing the speech sounds or the textual message using the actuator signals.

According to an embodiment, a conference support apparatus includes a recognizer, a detector, a summarizer, and a subtitle generator. The recognizer is configured to recognize speech in speech data and generate text data. The detector is configured to detect a correction operation on the text data, the correction operation being an operation of correcting character data that has been incorrectly converted. The summarizer is configured to generate a summary relating to the text data subsequent to a part to which the correction operation is being performed, among the text data, when the correction operation is being detected. The subtitle generator is configured to generate subtitle information corresponding to the summary when the correction operation is being detected, and configured to generate subtitle information corresponding to the text data except when the correction operation is being detected.

Provided is an apparatus for bi-directional sign language/speech translation in real time and method that may automatically translate a sign into a speech or a speech into a sign in real time by separately performing an operation of recognizing a speech externally made through a microphone and outputting a sign corresponding to the speech, and an operation of recognizing a sign sensed through a camera and outputting a speech corresponding to the sign.

An information management system is a system for identifying related information related to a guidance voice, the system including: a text identifier configured to identify from among multiple different registered texts a registered text that is similar to an input text representative of the guidance voice; and an information generator configured to identify the related information corresponding to a text that is partially different from the registered text identified by the text identifier.

A content server accessing an audio stream, and inputs portions of the audio stream into one or more non-speech classifiers for classification, the non-speech classifiers generating, for portions of the audio stream, a set of raw scores representing likelihoods that the respective portion of the audio stream includes an occurrence of a particular class of non-speech sounds associated with each of the non-speech classifiers. The content server generates binary scores for the sets of raw scores, the binary scores generated based on a smoothing of a respective set of raw scores. The content server applies a set of non-speech captions to portions of the audio stream in time, each of the sets of non-speech captions based on a different one of the set binary scores of the corresponding portion of the audio stream.

There is provided an information processing apparatus capable of enhancing the possibility of outputting information with granularity desired by a user, the information processing apparatus including: a generation unit configured to generate second text data on a basis of first text data and information regarding a first user's auditory characteristics; and an output unit configured to output output information regarding the second text data. The generation unit controls granularity of the second text data on a basis of the information regarding the first user's auditory characteristics.

A system and methods is provided for providing SIP based voice transcription services. A computer implemented method includes: transcribing a Session Initiation Protocol (SIP) based conversation between one or more users from voice to text transcription; identifying each of the one or more users that are speaking using a device SIP_ID of the one or more users; marking the identity of the one or more users that are speaking in the text transcription; and providing the text transcription of the speaking user to non-speaking users.