Abstract: A method for grouping a plurality of client devices is disclosed. The method includes receiving sound descriptors from the plurality of client devices. The sound descriptors are extracted from the environmental sound. Each of the sound descriptors is transmitted to a server, which determines a similarity of the sound descriptors received from the client devices. The server groups the plurality of client devices into at least one similar context group based on the similarity of the sound descriptors.

Abstract: A method for detecting a text region in an image is disclosed. The method includes detecting a candidate text region from an input image. A set of oriented gradient images is generated from the candidate text region, and one or more detection window images of the candidate text region are captured. A sum of oriented gradients is then calculated for a region in one of the oriented gradient images. It is classified whether each detection window image contains text by comparing the associated sum of oriented gradients and a threshold. Based on the classifications of the detection window images, it is determined whether the candidate text region is a true text region.

Abstract: A method for recognizing an environmental sound in a client device in cooperation with a server is disclosed. The client device includes a client database having a plurality of sound models of environmental sounds and a plurality of labels, each of which identifies at least one sound model. The client device receives an input environmental sound and generates an input sound model based on the input environmental sound. At the client device, a similarity value is determined between the input sound model and each of the sound models to identify one or more sound models from the client database that are similar to the input sound model. A label is selected from labels associated with the identified sound models, and the selected label is associated with the input environmental sound based on a confidence level of the selected label.

Abstract: A method for providing information for a conference at one or more locations is disclosed. One or more mobile devices monitor one or more starting requirements of the conference and transmit input sound information to a server when the one or more starting requirements of the conference is detected. The one or more starting requirements may include a starting time of the conference, a location of the conference, and/or acoustic characteristics of a conference environment. The server generates conference information based on the input sound information from each mobile device and transmits the conference information to each mobile device. The conference information may include information on attendees, a current speaker among the attendees, an arrangement of the attendees, and/or a meeting log of attendee participation at the conference.

Abstract: Provided are an apparatus and method for recognizing continuous speech using search space restriction based on phoneme recognition. In the apparatus and method, a search space can be primarily reduced by restricting connection words to be shifted at a boundary between words based on the phoneme recognition result. In addition, the search space can be secondarily reduced by rapidly calculating a degree of similarity between the connection word to be shifted and the phoneme recognition result using a phoneme code and shifting the corresponding phonemes to only connection words having degrees of similarity equal to or higher than a predetermined reference value. Therefore, the speed and performance of the speech recognition process can be improved in various speech recognition services.

Abstract: Provided are an apparatus and method for recognizing speech, in which reliability with respect to phoneme-recognized phoneme sequences is calculated and performance of speech recognition is enhanced using the calculated results. The method of recognizing speech includes the steps of: determining a boundary between phonemes included in character sequences that are phonetically input to detect each phoneme interval; calculating reliability according to a probability that a phoneme indicated by the detected phoneme interval corresponds to a phoneme included in a predefined phoneme model; calculating a phoneme alignment cost with respect to the character sequences based on the calculated reliability and a pre-trained and stored phoneme recognition probability distribution; and performing phoneme alignment based on the calculated phoneme alignment cost to perform speech recognition on the input character sequences.

Abstract: Provided are an apparatus and method for recognizing continuous speech using search space restriction based on phoneme recognition. In the apparatus and method, a search space can be primarily reduced by restricting connection words to be shifted at a boundary between words based on the phoneme recognition result. In addition, the search space can be secondarily reduced by rapidly calculating a degree of similarity between the connection word to be shifted and the phoneme recognition result using a phoneme code and shifting the corresponding phonemes to only connection words having degrees of similarity equal to or higher than a predetermined reference value. Therefore, the speed and performance of the speech recognition process can be improved in various speech recognition services.

Abstract: Disclosed is a voice message recording/playing method using voice recognition in which if a user's voice command is inputted through a microphone in a voice recognition mode selected by a function selection key, voice is recognized and then a preset command is performed correspondingly to the inputted voice command, the method including the steps of: selecting a set mode using the function selection key; if a system is in a system-on state in the mode selecting step, sequentially issuing a voice command whenever the function selection key is pressed; if a record mode is selected in the mode selecting step, recording a user's voice message corresponding to a pre-stored voice command in a data memory according to a guidance message; if a voice recognition standby mode is selected in the mode selecting step, recognizing the inputted user's voice command to detect a corresponding voice message from the data memory and voice the detected voice message through a speaker; and if the voice command is not inputted for