Patent application number | Description | Published |
20080306739 | SOUND SOURCE SEPARATION SYSTEM - A system capable of separating sound source signals with high precision while improving a convergence rate and convergence precision. A process of updating a current separation matrix W | 12-11-2008 |
20090043588 | SOUND-SOURCE SEPARATION SYSTEM - A system capable of reducing the influence of sound reverberation or reflection to improve sound-source separation accuracy. An original signal X(ω,f) is separated from an observed signal Y(ω,f) according to a first model and a second model to extract an unknown signal E(ω,f). According to the first model, the original signal X(ω,f) of the current frame f is represented as a combined signal of known signals S(ω,f−m+1) (m=1 to M) that span a certain number M of current and previous frames. This enables extraction of the unknown signal E(ω,f) without changing the window length while reducing the influence of reverberation or reflection of the known signal S(ω,f) on the observed signal Y(ω,f). | 02-12-2009 |
20090063605 | SIGNAL PROCESSING DEVICE - A device capable of improving the convergence rate and estimation accuracy in estimating a correlation value. According to a signal processing device, since a window length is adjusted in such a manner to reduce an estimated error of a correlation matrix, the convergence rate and estimation accuracy in estimating the correlation matrix and the correlation value as its off-diagonal element can be improved. Then, in such a high-probability condition that the correlation of plural output signals according to a state is estimated with a high degree of precision, signal processing is performed on the plural signals, so that the state can be estimated with a high degree of precision. | 03-05-2009 |
20100011939 | ROBOT - A robot includes: a sound collecting unit collecting and converting a musical sound into a musical acoustic signal; a voice signal generating unit generating a self-vocalized voice signal; a sound outputting unit converting the self-vocalized voice signal into a sound and outputting the sound; a self-vocalized voice regulating unit receiving the musical acoustic signal and the self-vocalized voice signal; a filtering unit performing a filtering process; a beat interval reliability calculating unit performing a time-frequency pattern matching process and calculating a beat interval reliability; a beat interval estimating unit estimating a beat interval; a beat time reliability calculating unit calculating a beat time reliability; a beat time estimating unit estimating a beat time on the basis of the calculated beat time reliability; a beat time predicting unit predicting a beat time before the current time; and a synchronization unit synchronizing the self-vocalized voice signal. | 01-21-2010 |
20100017034 | BEAT TRACKING APPARATUS, BEAT TRACKING METHOD, RECORDING MEDIUM, BEAT TRACKING PROGRAM, AND ROBOT - A beat tracking apparatus includes: a filtering unit configured to perform a filtering process on an input acoustic signal and to accentuate an onset; a beat interval reliability calculating unit configured to perform a time-frequency pattern matching process employing a mutual correlation function on the acoustic signal of which the onset is accentuated and to calculate a beat interval reliability; and a beat interval estimating unit configured to estimate a beat interval on the basis of the calculated beat interval reliability. | 01-21-2010 |
20100054489 | DEREVERBERATION SYSTEM AND DEREVERBERATION METHOD - Provided is a dereverberation system or the like which copes with an arbitrary condition flexibly and is capable of recognizing a sound or a sound source signal. According to the dereverberation system, an inverse filter (h) is set by using a pseudo-inverse matrix (R | 03-04-2010 |
20100070439 | LEARNING SYSTEM AND LEARNING METHOD - A learning system according to the present invention includes an event list database for storing a plurality of event lists, each of the event lists being a set including a series of state-action pairs which reaches a state-action pair immediately before earning a reward, an event list managing section for classifying state-action pairs into the plurality of event lists for storing, and a learning control section for updating expectation of reward of a state-action pair which is an element of each of the event lists. | 03-18-2010 |
20100299145 | ACOUSTIC DATA PROCESSOR AND ACOUSTIC DATA PROCESSING METHOD - An acoustic data processor according to the present invention is used for processing acoustic data including signal sounds to reduce noises generated by a mechanical apparatus. The acoustic data processor includes a motion status obtaining section for obtaining motion status of the mechanical apparatus, an acoustic data obtaining section for obtaining acoustic data corresponding to the obtained motion status, and a database for storing various motion statuses of the mechanical apparatus in a unit time and corresponding acoustic data as templates. The acoustic data processor further includes a database searching section for searching the database to retrieve the template having the motion status closest to the obtained motion status; and a template subtraction section for subtracting the acoustic data of the template having the motion status closest to the obtained motion status from the obtained acoustic data to reduce noises generated by the mechanical apparatus. | 11-25-2010 |
20100318480 | LEARNING CONTROL SYSTEM AND LEARNING CONTROL METHOD - A learning control system according to the present invention is one which performs learning of action values of actions in an apparatus which identifies its state as one of predetermined states, and selects an action based on the obtained action values and the identified state. The learning control system includes n action value learning devices including the first to the n th learning devices which perform learning of n action values from Q | 12-16-2010 |
20110172818 | TRAJECTORY PLANNING METHOD, TRAJECTORY PLANNING SYSTEM AND ROBOT - A trajectory planning system obtains a trajectory for controlling a state of an object toward a goal state. The system includes a search tree generating section which registers a state of the object as a root of a search tree in a state space, registers a next state of the object after a lapse of a predetermined time interval obtained through dynamical relationships during the time interval as a branch of the search tree in the state space. The system further includes a known-state registration tree storing section which stores a known-state registration tree and a known-state registration tree generating section which determines a cell to which the next state belongs among a plurality of cells previously prepared by segmenting the state space, determines whether or not a state which belongs to the cell has already been registered as a branch of the known-state registration tree, discards the next state when a state which belongs to the cell has been registered, and registers the next step as a branch of the known-state registration tree when a state which belongs to the cell has not been registered. The system further includes a trajectory generating section which selects a state whose distance to the goal state is minimum among states registered as branches of the known-state registration tree and obtains a trajectory using a sequence of states in a backward direction from the state toward the root of the known-state registration tree. | 07-14-2011 |
20140286504 | MICROPHONE ARRAY ARRANGEMENT STRUCTURE IN VEHICLE CABIN - A microphone array arrangement structure in a vehicle cabin is provided with multiple microphones arranged in a convex line. The microphones include a first microphone, and the direction of the axis of the first microphone faces the mouth of the driver. The microphone array arrangement structure is provided with covers housing the microphones and having multiple holes. The front surface of the covers form a convexly curved line, and each of the microphones is fixed inside of a cover to correspond to one of the holes. | 09-25-2014 |