Fujitsu Corporation

Masakiyo Tanaka

Masanao Suzuki

Yasuji Ota

Yoshiteru Tsuchinaga

Takeshi Otani

Miyuki Shirakawa

Shusaku Ito

Taro Togawa

Kentaro Murase

Takashi Makiuchi

Hiroshi Nakayama

Satoshi Nakashima

Junichi Odagiri

Jun Takahashi

Nobuyuki Washio

Kaori Endo

Shigeru Sasaki

Takeshi Ohtani

Chisato Ishikawa

Hitoshi Iwamida

Joe Mizuno

Y Tsuchinaga

A pointing support device detects user's gaze position on a screen, sets the gaze position as an initial position of a pointer, displays a path starting from the initial position on the screen on the basis of path definition information, which defines the path to move the pointer and a movement pattern of the path and moves the pointer along the path.

Pointing support device, pointing support method, and non-transitory computer-readable recording medium

A pointing support apparatus includes a memory, and a processor coupled to the memory and configured to detect a line-of-sight position of a user on a screen, extract a command included in a search range of the screen with reference to the line-of-sight position, generate a table in which the command and speech information of the command are associated with each other, and decide, when speech information from outside is accepted, a command based on comparison of the recognized speech information and the speech information of the table.

Pointing support apparatus and pointing support method

A presentation supporting device extracts a first word from a character string included in each region divided from a page of a document file, and calculates a score, for each region in a page currently-displayed, based on the first word and a second word acquired as a result of a sound recognition, and calculates, when the highest score of scores is equal to or higher than a first threshold, a distance between a first region in which the highlight display is currently executed and a second region in which the highest score is equal to or higher than the first threshold, and executes a highlight display in the second region when a frequency corresponding to the distance between the first region and the second region is equal to or higher than a second threshold, and executes a highlight display in the first region, when the second threshold is not reached.

Presentation supporting device, presentation supporting method, and computer-readable recording medium

A voice retrieval device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute: setting detection criteria for a retrieval word, based on a characteristic of the retrieval word, such that the higher the detection accuracy of the retrieval word or the lower the pronunciation difficulty of the retrieval word or the lower the appearance probability of the retrieval word, the stricter the detection criteria; performing first voice retrieval processing on voice data according to the detection criteria and detecting a section that possibly includes the retrieval word as a candidate section from the voice data; and performing second voice retrieval processing different from the first voice retrieval processing on each candidate section and determining whether or not the retrieval word is included in each candidate section.

Voice retrieval device and voice retrieval method for detecting retrieval word from voice data

A sleep apnea syndrome testing apparatus includes: an analyzing unit that analyzes every unit time a sound signal resulting from a subject during sleep; a determining unit that determines whether a unit time of the sound signal includes a breath sound or a characteristic sound produced when a patient with sleep apnea syndrome recovers from an apneic state into a breathing state, and the determining unit that determines that the sleep state of the subject in the unit time is any one of 'breathing restored state,' 'state with breathing,' and &#x201c;state without breathing;&#x201d; a storage unit in which a sleep state of the subject in each unit time is stored; and a detecting unit that detects an apneic state of the subject if a history of the sleep states of the subject indicates at least a transition from the &#x201c;state without breathing&#x201d; to the &#x201c;breathing restored state.&#x201d;

Sleep apnea syndrome testing apparatus, test method for sleep apnea syndrome and tangible recording medium recording program

A hum noise detection device includes: a frequency conversion unit () configured to perform a frequency converting process at a constant time interval on an input signal, and converting the input signal into a frequency signal; a peak frequency calculation unit () configured to calculate a stationary peak frequency based on the frequency signal; a fundamental frequency estimation unit () configured to estimate a fundamental frequency of hum noise based on the stationary peak frequency; and a hum noise judgment unit () configured to judge whether or not there is hum noise in the input signal based on the estimated fundamental frequency and the stationary peak frequency.

Hum noise detection device

A voice correction device includes a detector that detects a response from a user, a calculator that calculates an acoustic characteristic amount of an input voice signal, an analyzer that outputs an acoustic characteristic amount of a predetermined amount when having acquired a response signal due to the response from the detector, a storage unit that stores the acoustic characteristic amount output by the analyzer, a controller that calculates an correction amount of the voice signal on the basis of a result of a comparison between the acoustic characteristic amount calculated by the calculator and the acoustic characteristic amount stored in the storage unit, and a correction unit that corrects the voice signal on the basis of the correction amount calculated by the controller.

Voice correction device, voice correction method, and recording medium storing voice correction program

A difference signal calculating unit of a noise detecting device calculates a difference between the amplitudes of a residual signal at each sample timing and a residual signal at the preceding sample timing. A difference signal comparing unit determines whether or not an impulsive noise is present on the basis of the difference signal at the current sample timing, and the difference signal at each sample timing within a predetermined duration from the current sample timing.

Noise detecting device and noise detecting method

A sensing apparatus which controls the detection timing of a sensor by a prescribed guidance signal includes a guidance signal analyzing unit for analyzing the prescribed guidance signal, and a sensing control unit for determining, based on the result of the detection, an effective detection period during which an output of the sensor is effective.

Sensing apparatus, sensor information gathering apparatus, sensing method, and remote sensing method

A system for assessing a voice communication quality of a communication path between first and second nodes over a network, wherein coded data of voice communication signals are transferred in a stream of packets via the communication path, including: a capturing unit for capturing at the first node at least one packet containing coded data representing non voice signals among the packets of the coded data to be transferred from the first node to the second node; a replacing unit for replacing a part of the coded data representing non voice signals in the captured packet with a predetermined code before the captured packet is transferred from the first node; a retrieval unit for retrieving at the second node said at least one packet containing coded data representing non voice signals; and an assessment unit for assessing the voice communication quality of the communication path.

Voice communication quality assessing system

A noise detection apparatus includes a time-frequency transform unit configured to transform an input signal from a time domain to a frequency domain to produce a spectrum, a power spectrum calculating unit configured to obtain powers of frequencies from the spectrum, a peak stationarity detecting unit configured to use peaks of the powers of frequencies in each frame to detect frequencies at which a stationary peak of the powers exists, a power stationarity detecting unit configured to use magnitudes of the powers of frequencies in each frame to detect frequencies at which the magnitudes of the powers are stationary, and a check unit configured to use the frequencies detected by the peak stationarity detecting unit and the frequencies detected by the power stationarity detecting unit to check whether there is a noise that has at least one of peak stationarity and power stationarity in the frequency domain.

Noise detection apparatus, noise removal apparatus, and noise detection method

A clipping detection device calculates an amplitude distribution of an input signal for each predetermined period, calculates a deflection degree of the distribution on the basis of the calculated amplitude distribution, and then detects clipping of a communication signal on the basis of the calculated deflection degree of the distribution.

Clipping detection device and method

A data embedding device for embedding data in a speech code obtained by encoding a speech in accordance with a speech encoding method based on a voice generation process of a human being, includes an embedding judgment unit, every speech code, judging whether or not data should be embedded in the speech code, and an embedding unit embedding data in two or more parameter codes of a plurality of parameter codes constituting the speech code for which it is judged by the embedding judgment unit that the data should be embedded.

Data embedding device and data extraction device

A decoding apparatus includes a unit decoding and inversely quantizing coded data to obtain frequency domain audio signal data, a unit computing from the coded data one of the number of scale bits composed of the number of bits corresponding to the scale value of the coded data and the number of spectrum bits composed of the number of bits corresponding to the spectrum value of the coded data, a unit estimating a quantization error of the frequency domain audio signal data based on one of the number of scale bits and the number of spectrum bits of the coded data, a unit computing a correction amount based on the estimated quantization error and correct the frequency domain audio signal data obtained by the frequency domain data obtaining unit based on the computed correction amount, and a unit converting the corrected frequency domain audio signal data into the audio signal.

Decoding apparatus, decoding method, and recording medium

In a speech communication device capable of bidirectional communication, a clock deviation between the speaker side (the receiving side) and the microphone side (the transmitting side) is detected, and based on the above deviation, either a first frequency signal (speaker signal (reference signal)) or a second frequency signal (microphone signal) is frequency-shifted in the frequency domain, and therefore, an influence caused by the clock deviation can simply be corrected without an increased processing amount, and thus, an echo can be suppressed effectively.

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Kawasaki, Japan

Masakiyo Tanaka