Abstract: A resin powder for solid freeform fabrication includes a particle having a pillar-like form, wherein the ratio of the height of the particle to the diameter or the long side of the bottom of the particle is 0.5 to 2.0, the particle has a 50 percent cumulative volume particle diameter of from 5 to 200 ?m, and the ratio (Mv/Mn) of the volume average particle diameter (Mv) to the number average particle diameter (Mn) of the particle is 2.00 or less.

Abstract: An apparatus includes an acquisition unit configured to acquire a first captured image obtained by first image capturing with a first image capturing parameter and motion information about an object in the first captured image, a setting unit configured to set a second image capturing parameter, an estimation unit configured to estimate motion blur of an object in a second captured image which is obtained in a case where second image capturing is performed with the second image capturing parameter, based on the motion information and the second image capturing parameter, and a notification unit configured to issue a notification of the motion blur.

Abstract: A voice output from an i-th audio source apparatus is adjusted with a frequency transfer function Wii(f) set in an i-th noise reduction filter and is output from an i-th speaker. In the noise reduction filter, a frequency transfer function Wii(f) is set in which the sound is made smaller at frequencies where the gain of the frequency transfer function Cim(f) from the SPKi to a user tends to be relatively larger than the gain of the frequency transfer function Cii(f) from the SPKi to the user, and the sound is increased at frequencies where the gain of Cim(f) tends to be relatively smaller than the gain of Cii(f), where m is an integer excluding i from 1 to n.

Abstract: An adaptive identification system, for identifying a propagation system characteristic by an adaptive filter, includes a signal generator that generates an identification input signal including a frequency component of an integer multiple of a fundamental frequency and having a periodicity satisfying a PE condition, a setting unit that sets moving average time to a fundamental period of the identification input signal, and an adaptive algorithm execution unit that uses a moving average value and a diagonal matrix to update a coefficient of the adaptive filter, the moving average value being obtained by calculating a moving average of a cross-correlation vector of a vector of the identification input signal and an observation signal with the moving average time, and the diagonal matrix being obtained by diagonalizing a matrix obtained by calculating a moving average of an autocorrelation matrix of the vector of the identification input signal with the moving average time.

Abstract: An acoustic characteristic measurement device includes a speaker configured to output an acoustic signal in which a watermark signal is embedded; a microphone configured to perform sound collection with respect to the acoustic signal output from the speaker in a predetermined listening position; and an acoustic characteristic measurement unit configured to determine an acoustic characteristic of an acoustic space from the speaker to the listening position, on the basis of the watermark signal embedded in the acoustic signal which is subjected to the sound collection by the microphone.

Abstract: An adaptive identification system, for identifying a propagation system characteristic by an adaptive filter, includes a signal generator that generates an identification input signal including a frequency component of an integer multiple of a fundamental frequency and having a periodicity satisfying a PE condition, a setting unit that sets moving average time to a fundamental period of the identification input signal, and an adaptive algorithm execution unit that uses a moving average value and a diagonal matrix to update a coefficient of the adaptive filter, the moving average value being obtained by calculating a moving average of a cross-correlation vector of a vector of the identification input signal and an observation signal with the moving average time, and the diagonal matrix being obtained by diagonalizing a matrix obtained by calculating a moving average of an autocorrelation matrix of the vector of the identification input signal with the moving average time.

Abstract: An apparatus includes an acquisition unit configured to acquire a first captured image obtained by first image capturing with a first image capturing parameter and motion information about an object in the first captured image, a setting unit configured to set a second image capturing parameter, an estimation unit configured to estimate motion blur of an object in a second captured image which is obtained in a case where second image capturing is performed with the second image capturing parameter, based on the motion information and the second image capturing parameter, and a notification unit configured to issue a notification of the motion blur.

Abstract: A failure detection device for detecting a failure of a sound generating device outputting a sound based on sound data from a speaker includes: an electronic watermark signal generating unit configured to generate an electronic watermark signal including collation data used for collation of whether or not a sound is output from the speaker; the speaker configured to output the electronic watermark signal as a sound; a microphone configured to collect the sound output from the speaker; a collation data detection unit configured to detect the collation data from the electronic watermark signal included in the sound collected by the microphone; and a failure determination unit configured to determine the presence or absence of the failure of the sound generating device by collating the collation data detected by the collation data detection unit with the collation data included in the electronic watermark signal.

Abstract: A failure detection device for detecting a failure of a sound generating device outputting a sound based on sound data from a speaker includes: an electronic watermark signal generating unit configured to generate an electronic watermark signal including collation data used for collation of whether or not a sound is output from the speaker; the speaker configured to output the electronic watermark signal as a sound; a microphone configured to collect the sound output from the speaker; a collation data detection unit configured to detect the collation data from the electronic watermark signal included in the sound collected by the microphone; and a failure determination unit configured to determine the presence or absence of the failure of the sound generating device by collating the collation data detected by the collation data detection unit with the collation data included in the electronic watermark signal.

Abstract: An acoustic characteristic measurement device includes a speaker configured to output an acoustic signal in which a watermark signal is embedded; a microphone configured to perform sound collection with respect to the acoustic signal output from the speaker in a predetermined listening position; and an acoustic characteristic measurement unit configured to determine an acoustic characteristic of an acoustic space from the speaker to the listening position, on the basis of the watermark signal embedded in the acoustic signal which is subjected to the sound collection by the microphone.

Abstract: An error path characteristic model correction control unit determines the deviation of the phase of an actual transfer function from the phase of an error path characteristic model, from a cross correlation between an error signal output from a microphone and a signal in which the error path characteristic model is applied to a noise cancellation sound to be output and a cross correlation between the error signal and a signal in which a transfer function having a phase characteristic deviating by +90 degrees from the phase characteristic of the error path characteristic model is applied to the noise cancellation sound. The error path characteristic model correction control unit then corrects the error path characteristic model so that the determined deviation is reduced to ±90 degrees.

Abstract: An error path characteristic model correction control unit determines the deviation of the phase of an actual transfer function from the phase of an error path characteristic model, from a cross correlation between an error signal output from a microphone and a signal in which the error path characteristic model is applied to a noise cancellation sound to be output and a cross correlation between the error signal and a signal in which a transfer function having a phase characteristic deviating by +90 degrees from the phase characteristic of the error path characteristic model is applied to the noise cancellation sound. The error path characteristic model correction control unit then corrects the error path characteristic model so that the determined deviation is reduced to ±90 degrees.

Abstract: A casing includes a first casing and a second casing that sandwich an elastic member, wherein the first casing includes a pressed portion that is pressed by the elastic member, and an engaging portion adjacent to the pressed portion that has a flange protruding toward the pressed portion that engages with the second casing, and the pressed portion is flat in a region corresponding to at least the engaging portion.

Abstract: A casing includes a first casing and a second casing that sandwich an elastic member, wherein the first casing includes a pressed portion that is pressed by the elastic member, and an engaging portion adjacent to the pressed portion that has a flange protruding toward the pressed portion that engages with the second casing, and the pressed portion is flat in a region corresponding to at least the engaging portion.

Abstract: In a voice intelligibility enhancement system that controls a gain of a voice signal based on noise power and voice power of the voice signal generated by a voice signal generation unit, it is detected whether the voice power is equal to or greater than a predetermined level, noise power output when the voice power is less than the predetermined level is measured and stored, noise power to be output when the voice power exceeds the predetermined level is estimated to be the stored noise power, and gain of a voice signal is controlled on the basis of the voice power and the estimated noise power.

Abstract: Speech recognition performance is improved without changing a speech recognition engine. A speech data generation section generates, from speech data for which speech recognition is to be performed, a plurality of pieces of speech data whose starting positions of the non-speech regions differ. A speech recognition engine performs speech recognition by using each of the pieces of speech data. A totaling/comparison section provides the most numerous recognized result from among a plurality of obtained recognized results.

Abstract: A voice recognition system is provided that outputs a talk-back voice in a manner such that a user can distinguish the accuracy of a voice-recognized character string more easily. A voice recognition unit performs voice recognition on a user's articulation in which a character string such as the telephone number “024 636 0123” is entered via a microphone. Based on each “sound existing period delimited by silent intervals,” each recognized partial character string “024”, “636” and “0123” is obtained. A talk-back voice data generating unit connects each recognized partial character string “024”, “636” and “0123” together in a manner such that space characters are inserted, and generates a character string “024 636 0123”. The generated character string “024 636 0123” is supplied to a voice generating device as talk-back voice data. A voice signal to be produced by the speaker is generated in the form of the talk-back voice.

Abstract: A casing includes a first casing and a second casing that sandwich an elastic member, wherein the first casing includes a pressed portion that is pressed by the elastic member, and an engaging portion adjacent to the pressed portion that has a flange protruding toward the pressed portion that engages with the second casing, and the pressed portion is flat in a region corresponding to at least the engaging portion.

Abstract: In an apparatus for improving voice clarity by controlling a gain of a voice based on a sound pressure level of the voice and a sound pressure level of noise, it is determined whether a sound pressure level of a gain-controlled voice exceeds a maximum allowable level. If the sound pressure level exceeding the maximum allowable level is caused by audio sound, a sound pressure level of the audio sound is reduced. The sound pressure level of the audio sound is minimally reduced so that the sound pressure level of the voice becomes equal to or lower than the maximum allowable level.

Abstract: A voice recognition system is provided that outputs a talk-back voice in a manner such that a user can distinguish the accuracy of a voice-recognized character string more easily. A voice recognition unit performs voice recognition on a user's articulation in which a character string such as the telephone number “024 636 0123” is entered via a microphone. Based on each sound existing period delimited by silent intervals, each recognized partial character string “024”, “636” and “0123” is obtained. A talk-back voice data generating unit connects each recognized partial character string “024”, “636” and “0123” together in a manner such that space characters are inserted, and generates a character string “024 636 0123”. The generated character string “024 636 0123” is supplied to a voice generating device as talk-back voice data. A voice signal to be produced by the speaker 2 is generated in the form of the talk-back voice.