Abstract: A method for separating a sound source from a mixed signal, includes Transforming a mixed signal to channel signals in frequency domain; and grouping several frequency bands for each channel signal to form frequency clusters. Further, the method for separating the sound source from the mixed signal includes separating the frequency clusters by applying a blind source separation to signals in frequency domain for each frequency cluster; and integrating the spectrums of the separated signal to restore the sound source in a time domain wherein each of the separated signals expresses one sound source.

Abstract: A message service method using speech recognition includes a message server recognizing a speech transmitted from a transmission terminal, generating and transmitting a recognition result of the speech and N-best results based on a confusion network to the transmission terminal; if a message is selected through the recognition result and the N-best results and an evaluation result according to accuracy of the message are decided, the transmission terminal transmitting the message and the evaluation result to a reception terminal; and the reception terminal displaying the message and the evaluation result.

Abstract: A model-based distortion compensating noise reduction apparatus for speech recognition, includes: a speech absence probability calculator for calculating the probability distribution for absence and existence of a speech using the sound absence and existence information for the frames; a noise estimation updater for estimating a more accurate noise component by updating the variance of the clean speech and noise for each frame; and a speech absence probability-based noise filter for outputting a first clean speech through the speech absence probability transmitted from the speech absence probability calculator and a first noise filter. Further, the model-based distortion compensating noise reduction apparatus includes a post probability calculator for calculating post probabilities for mixtures using a GMM containing a clean speech in the first clean speech; and a final filter designer for forming a second noise filter and outputting an improved final clean speech signal using the second noise filter.

Abstract: The present invention relates to a shutter device for camera used for small-sized digital equipment and includes a base forming a light transmission hole to expose a film or charge-coupled device (CCD) to laser beam; an electromagnet mounted on one side of the base; a driving arm which is mounted on one side of the electromagnet on the base so as to pivot on the base; a first shutter and a second shutter to open and close the light transmission hole, which pivots on the part of the base in association with the pivoting of the driving arm; and a magnetic which is installed on the driving arm and has the north magnetic pole and the south magnetic pole at opposite ends of the magnetic or on surfaces opposite to the electromagnet.

Abstract: A Viterbi decoder includes: an observation vector sequence generator for generating an observation vector sequence by converting an input speech to a sequence of observation vectors; a local optimal state calculator for obtaining a partial state sequence having a maximum similarity up to a current observation vector as an optimal state; an observation probability calculator for obtaining, as a current observation probability, a probability for observing the current observation vector in the optimal state; a buffer for storing therein a specific number of previous observation probabilities; a non-linear filter for calculating a filtered probability by using the previous observation probabilities stored in the buffer and the current observation probability; and a maximum likelihood calculator for calculating a partial maximum likelihood by using the filtered probability.

Abstract: In order to improve video quality by accurately detecting a preferred color region and correcting the preferred color region to a target color, a method for correcting a color of a display device includes converting input R/G/B data into Y/Cb/Cr data, calculating a weight by an exponential function using a dispersion and a distance between an input value and a target value of the Y/Cb/Cr data, comparing the calculated weight with a target color range so as to detect a target color region, and calculating a detection probability, detecting an average value, a minimum value and a maximum value of the Y/Cb/Cr data for the detected target color region from a previous frame, calculating a correction constant using the average value, the minimum value and the maximum value of the Y/Cb/Cr data, a predetermined target value of the Y/Cb/Cr data, and the Y/Cb/Cr which is detected as the target color region and is input, adding the detection probability to the calculated correction constant as the weight so as to calcul

Abstract: A noise cancellation apparatus includes a noise estimation module for receiving a noise-containing input speech, and estimating a noise therefrom to output the estimated noise; a first Wiener filter module for receiving the input speech, and applying a first Wiener filter thereto to output a first estimation of clean speech; a database for storing data of a Gaussian mixture model for modeling clean speech; and an MMSE estimation module for receiving the first estimation of clean speech and the data of the Gaussian mixture model to output a second estimation of clean speech. The apparatus further includes a final clean speech estimation module for receiving the second estimation of clean speech from the MMSE estimation module and the estimated noise from the noise estimation module, and obtaining a final Wiener filter gain therefrom to output a final estimation of clean speech by applying the final Wiener filter gain.

Abstract: A microphone-array-based speech recognition system using a blind source separation (BBS) and a target speech extraction method in the system are provided. The speech recognition system performs an independent component analysis (ICA) to separate mixed signals input through a plurality of microphone into sound-source signals, extracts one target speech spoken for speech recognition from the separated sound-source signals by using a Gaussian mixture model (GMM) or a hidden Markov Model (HMM), and automatically recognizes a desired speech from the extracted target speech. Accordingly, it is possible to obtain a high speech recognition rate even in a noise environment.

Abstract: Provided are an apparatus and method for generating a noise adaptive acoustic model including a noise adaptive discriminative adaptation method. The method includes: generating a baseline model parameter from large-capacity speech training data including various noise environments; and receiving the generated baseline model parameter and applying a discriminative adaptation method to the generated results to generate an migrated acoustic model parameter suitable for an actually applied environment.

Abstract: An apparatus for evaluating the performance of speech recognition includes a speech database for storing N-number of test speech signals for evaluation. A speech recognizer is located in an actual environment and executes the speech recognition of the test speech signals reproduced using a loud speaker from the speech database in the actual environment to produce speech recognition results. A performance evaluation module evaluates the performance of the speech recognition by comparing correct recognition results answers with the speech recognition results.

Abstract: Disclosed herein are an apparatus and method for recognizing speech. The apparatus includes a frame-based speech recognition unit, a segment division unit, a segment feature extraction unit, a segment speech recognition performance unit, and a combination and synchronization unit. The frame-based speech recognition unit extracts frame speech feature vectors from a speech signal, and performs speech recognition on frames of the speech signal using the frame speech feature vectors and a frame-based probability model. The segment division unit divides the speech signal into segments. The segment feature extraction unit extracts segment speech feature vectors around a boundary between the segments. The segment speech recognition performance unit performs speech recognition on the segments of the speech signal using the segment speech feature vectors and a segment-based probability model.

Abstract: Method of the present invention may include receiving speech feature vector converted from speech signal, performing first search by applying first language model to the received speech feature vector, and outputting word lattice and first acoustic score of the word lattice as continuous speech recognition result, outputting second acoustic score as phoneme recognition result by applying an acoustic model to the speech feature vector, comparing the first acoustic score of the continuous speech recognition result with the second acoustic score of the phoneme recognition result, outputting first language model weight when the first coustic score of the continuous speech recognition result is better than the second acoustic score of the phoneme recognition result and performing a second search by applying a second language model weight, which is the same as the output first language model, to the word lattice.

Abstract: Disclosed herein are an apparatus and method for preprocessing speech signals to perform speech recognition. The apparatus includes a voiced sound interval detection unit, a preprocessing method determination unit, and a clipping signal processing unit. The voiced sound interval detection unit detects a voiced sound interval including a voiced sound signal in a voice interval. The preprocessing method determination unit detects a clipping signal present in the voiced sound interval. The clipping signal processing unit extracts signal samples adjacent to the clipping signal, and performs interpolation on the clipping signal using the adjacent signal samples.

Abstract: The present invention relates to a method for simulating image quality improvement of an image display device, in which the image display device to be tested is made to display an optimized picture quality with a simplified process by applying simplified simulation program and device; and a device therefor.

Abstract: Method and device are disclosed for adjusting a preferred color which enables a user to set a preferred color conveniently and a liquid crystal display device with the same. The method and device for adjusting a preferred color includes displaying a menu selection image and setting a variety of optional information, making successive display of at least one selection image which shows a plurality of selection images having information on preferred colors different from one another to set information on the preferred colors in succession, and storing the information on the preferred colors set and generating an image having preferred colors adjusted according to the information on the preferred colors stored.

Abstract: Disclosed is a three dimensional liquid crystal display device (3D LCD device) which facilitates to improve a picture quality of a three-dimensional image (3D image) by color and luminance corrections, and a method for driving the same, wherein the device comprises an image data analyzer which analyzes a luminance level for each of R, G, and B colors of original image data inputted to display the 3D image; an image data converter which generates color correction data for adjusting a color balance of the R, G, and B colors distorted by the shutter glass, and generates gamma correction data for compensating a luminance reduction, on the basis of luminance analyzing results provided from the image data analyzer; and a timing controller which converts the input image data into image data of a frame unit, reflects the color correction data and the gamma correction data in the image data of the frame unit, and supplies the corrected image data to a data driver.

Abstract: The present invention relates to the structure of a bipolar plate for direction methanol fuel cell, the shape of a flow path and a fuel cell including them, more particularly, to the structure of a bipolar plate for direct methanol fuel cell using a flow path with a dispersion structure not the existing serpentine type for supplying a fuel to the new bipolar plate and functioning as a collector and the shape of a flow path. According to the present invention, a fluid flow resistance is decreased and a direct reaction region of a fluid and an electrode catalyst is increased in a bipolar plate, and therefore the performance of a fuel Cell can be improved.

Abstract: A model-based distortion compensating noise reduction apparatus for speech recognition, includes: a speech absence probability calculator for calculating the probability distribution for absence and existence of a speech using the sound absence and existence information for the frames; a noise estimation updater for estimating a more accurate noise component by updating the variance of the clean speech and noise for each frame; and a speech absence probability-based noise filter for outputting a first clean speech through the speech absence probability transmitted from the speech absence probability calculator and a first noise filter. Further, the model-based distortion compensating noise reduction apparatus includes a post probability calculator for calculating post probabilities for mixtures using a GMM containing a clean speech in the first clean speech; and a final filter designer for forming a second noise filter and outputting an improved final clean speech signal using the second noise filter.

Abstract: The present invention relates to a shutter device for camera used for small-sized digital equipment and includes a base forming a light transmission hole to expose a film or charge-coupled device (CCD) to laser beam; an electromagnet mounted on one side of the base; a driving arm which is mounted on one side of the electromagnet on the base so as to pivot on the base; a first shutter and a second shutter to open and close the light transmission hole, which pivots on the part of the base in association with the pivoting of the driving arm; and a magnetic which is installed on the driving arm and has the north magnetic pole and the south magnetic pole at opposite ends of the magnetic or on surfaces opposite to the electromagnet.

Abstract: A speech recognition system includes: a speed level classifier for measuring a moving speed of a moving object by using a noise signal at an initial time of speech recognition to determine a speed level of the moving object; a first speech enhancement unit for enhancing sound quality of an input speech signal of the speech recognition by using a Wiener filter, if the speed level of the moving object is equal to or lower than a specific level; and a second speech enhancement unit enhancing the sound quality of the input speech signal by using a Gaussian mixture model, if the speed level of the moving object is higher than the specific level. The system further includes an end point detection unit for detecting start and end points, an elimination unit for eliminating sudden noise components based on a sudden noise Gaussian mixture model.