Abstract:
PROBLEM TO BE SOLVED: To increase convenience of a user visiting an island in a virtual space. SOLUTION: In the virtual space comprising a plurality of islands, positions of the islands are two-dimensionally mapped preferably by multidimensional scaling such as Kruskal's method such that the relation of distance between a characteristic vector including information on a profile, taste or the like of the user and a characteristic vector including information on a profile, an event or the like of each island is maintained. Thus, a map server provides the user with the islands arranged in accordance with the characteristic vector of the user based on mapped information. Thereby, it is convenient for the user to visit the island suited to his or her taste, so that a use frequency of the virtual space is improved. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To smoothly reduce the occurrence of musical noise at the time of eliminating noise by an SS method. SOLUTION: In a noise period of an observation signal X (f, t) showing time changes of a frequency spectrum, this noise eliminating device is configured of a 1st order calculation means 14 for calculating the order of the values concerning each element included in a 1st area with predetermined volumes in the time base and frequency axial directions, a 2nd order calculation means 16 for calculating the order of the value concerning each element included in a 2nd area with predetermined volumes in the time base and frequency axial directions, and subtraction means 17, 18 for subtracting a value based on the element value in the 1st area corresponding to the order of the element from each element value in the 2nd area. COPYRIGHT: (C)2005,JPO&NCIPI
Abstract:
PROBLEM TO BE SOLVED: To provide a method in which background noise other than the sound source located along an objective direction is efficiently eliminated to realize highly precise voice recognition and to provide a system using the method. SOLUTION: An angle distinctive power distribution, that is observed by orienting the directivity of a microphone array toward various sound source directions being considered, is approximated by the sum of coefficient multiples of a reference angle distinctive power distribution that is beforehand measured using reference sound along the objective sound source directions and a reference angle distinctive power distribution of non-directive background sound. Using the above fact in a noise suppressing process section, only the components along the objective sound source direction are extracted. Moreover, when the objective sound source direction is unknown, the objective sound source direction is estimated by selecting the one which minimizes an approximation residue in a sound source location searching section among the reference angle distinctive power distributions along various sound source directions. Furthermore, a maximum liklihood operation is conducted using the voice data of the components along the sound source direction being processed and the voice model which is obtained by making a prescribed model for the voice data and voice recognition is conducted based on the obtained estimated value. COPYRIGHT: (C)2004,JPO
Abstract:
PROBLEM TO BE SOLVED: To improve the operability of a computer device in moving a display window of a software keyboard, etc. SOLUTION: Whether a user pointed a button for moving the software keyboard or not is determined (Step S5). When it is determined that the user pointed the button, the quantity of movement of the display window of the software keyboard is calculated based on the pointed position (touched position) within the pressed button for movement (Step S15). Then, based on the calculated quantity of movement, the position of the display window on the display screen is moved (Step S17).
Abstract:
PROBLEM TO BE SOLVED: To reduce the swapping of buffer data by absorbing the speed difference between the writing and reading of external received data to and from a buffer. SOLUTION: Ring buffer constitution is adopted and the buffer consists of 'subrings' as minimum units of buffer rings and a 'main ring' connecting the subrings in a ring shape. While data processes are carried out synchronously, only a single subring is used for data buffering and only when the data processes are delayed to become asynchronous, a main ring buffer covering more than one subring is used. Namely, the possibility of the use of the whole main ring can be minimized, so swapping is prevented suitably from being always done.
Abstract:
PROBLEM TO BE SOLVED: To accurately collect speech of only a specified speaker such as a sales person in counter selling or the like. SOLUTION: A speech collection system 10 extracts and collects target speech which is a target in a plurality of pieces of speech in which coming directions are different from each other. The system includes a microphone array 11 including at least first and second microphones 11a and 11b, in which the first and second microphones are arranged by separating them with a predetermined distance. Discrete Fourier transform is performed on each signal of speech received by the first and second microphones, and a plurality of cross spectrum power (CSP) coefficients related to the coming direction of speech are calculated, and a plurality of speech signals are detected from the plurality of CSP coefficients. Then, a speech direction index defined according to an angle between a line for connecting the first and second microphones and the coming direction, is detected from the plurality of calculated CSP coefficients, and the signal of the target speech is extracted from the plurality of speech signals, which are detected from the detected speech direction index. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a simple and inexpensive automobile microphone array device which is safely oriented to an automobile driver and to which voice is input, and a manufacturing method thereof. SOLUTION: The automobile microphone array device includes: an inside rear view mirror including a mirror portion, and a mirror supporting portion movably supporting the mirror portion and provided in an automobile; a first microphone provided at the mirror supporting portion so as not to be hidden behind the mirror portion; and a second microphone provided on the mirror portion. Preferably, the first microphone is provided at the mirror supporting portion through a microphone supporting portion. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a device for supporting design of a voice interface that receive a plurality of kinds of voice control, and a program and a method thereof. SOLUTION: The device comprises a database for recording speech samples associated with one of the plurality of kinds of voice control; a degree of similarity calculation part for calculating the similarity between a first assembly of the speech sample associated with the first voice control, and a second assembly of the speech sample associated with the second voice control; and a display part for displaying the similarity between the first assembly and the second assembly. The display part preferably displays a graph in which points corresponding to each of the plurality of kinds of the voice control are plotted as that the similarity is expressed. COPYRIGHT: (C)2008,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a noise elimination technique capable of improving noise resistance in an environment non-stationary noise such as audio of a CD player or radio set is present in addition to stationary noise. SOLUTION: A noise elimination device is constituted by using a means 11 of acquiring estimated values N ω and Q ω (T) of a stationary noise component included in a specified observation signal X ω (T) in a specified frequency range and a non-stationary noise component corresponding to a specified reference signal R ω (T) with a specified constant and the specified frequency range by performing operation using adaptive coefficients W ω (m) for the specified reference signal R ω (T), means 11 and 14 of performing noise elimination processing based upon the estimated values for the observation signal and updating the adaptive coefficients according to the result, and adaptive learning means 11 and 14 of learning the adaptive coefficients by repeatedly acquiring estimated values and updating adaptive coefficients. COPYRIGHT: (C)2006,JPO&NCIPI