Nec Corporation

Mitsubishi Electric Corporation

Mitsubishi Denki Kabushiki Kaisha

Akebono Brake Industry Co., Ltd.

Nippon Mining Co., Ltd.

Nkk Corporation

Masanori Kato

Akihiko Sugiyama

Reishi Kondo

Yasuyuki Mitsui

Yuzo Senda

Akinori Hashimoto

Shuta Ishikawa

Hiroshi Idei

Chikara Tominaga

Takashi Ogata

Yoshio Kawasumi

Tadashi Yato

Kanji Tanaka

Motokazu Sonohara

Hideaki Takahashi

Takashi Shibata

Yuichi Abe

Yutaka Yano

Keiichi Nakagawa

Atsushi Ueno

Kiyoshi Kawasaki

Shinichi Furutani

Seiji Sato

Masaya Harakawa

Ryuichi Takezawa

Akira Imanaka

Yoshiyuki Sugai

Keiji Kameishi

Shohei Ikeda

Yuji Nojiri

Kentarou Kudou

Koji Ogawa

Takao Morisaki

Satoshi Tsukada

Eri Takada

Yasunori Kurahashi

Hideho Taguchi

Yuki Kawauchi

Katsuhiro Onodera

Shotaro Marumoto

Goichi Kajiura

Shunichi Nishimura

Toshio Kamatani

Kunihiko Kawakami

Akihiro Hayashi

Hirotaka Abou

Naoto Minamikawa

Osamu Monma

Motoki Masaka

Marina Nihei

Yoichi Egashira

Hisao Kamii

The learning device learns the target detection model used in the radar device. The learning device includes an acquisition unit, a learning data generation unit, and a learning processing unit. The acquisition unit acquires a reception signal generated based on the received wave and a tracking signal generated based on the reception signal from the radar device. The learning data generation unit generates learning data using the reception signal and the tracking signal. The learning processing unit learns a target detection model that detects a target from the reception signal, using the learning data.

Learning device, learning method, recording medium, and radar device

A sintered friction material, in which a content of a copper component is 0.5 mass % or less, is provided. The sintered friction material includes a titanate and a metal material other than copper, as a matrix. A content of the metal material other than copper is 10.0 volume % to 34.0 volume %. A method for manufacturing a sintered friction material is provided. The method includes a mixing step of mixing raw materials containing a titanate and a metal material other than copper, a molding step of molding the raw materials mixed in the mixing step, and a sintering step of sintering, at 900° C. to 1300° C., a molded product molded in the molding step. In the sintered friction material, the titanate and the metal material other than copper form a matrix, and a content of the metal material other than copper is 10.0 volume % to 34.0 volume %.

Sintered friction material and method for producing sintered friction material

This wave source direction estimation apparatus is capable of highly accurately estimating the direction of a wave source even in an environment with a high surrounding noise level, and is provided with: a plurality of input signal acquisition means for acquiring signals generated at a wave source as input signals; a correlation function calculation means for calculating correlation functions on the basis of the input signals acquired by the input signal acquisition means; an envelope function extraction means for extracting envelope functions on the basis of the calculated correlation functions; a combined envelope function calculation means for calculating a combined envelope function by combining the extracted envelope functions; and an estimated direction information generation means for generating estimated direction information about the wave source on the basis of the calculated combined envelope function.

Wave source direction estimation apparatus, wave source direction estimation system, wave source direction estimation method, and wave source direction estimation program

A correlation function having a clear peak is generated even in an environment in which an ambient noise level is high. A correlation function generation apparatus () includes a plurality of input signal obtaining units (), a changing unit (), a cross-spectrum calculator (), a variance calculator (), and a correlation function calculator (). The input signal obtaining unit () obtains a wave generated by a wave source as an input signal. The transformer () obtains a plurality of frequency domain signals by transforming a plurality of input signals obtained by the plurality of input signal obtaining units. The cross-spectrum calculator () calculates a cross-spectrum based on the plurality of frequency domain signals. The variance calculator () calculates the variance of the cross-spectrum. The correlation function calculator () calculates and generates a correlation function based on the cross-spectrum and the variance.

Correlation function generation apparatus, correlation function generation method, correlation function generation program, and wave source direction estimation apparatus

This invention provides a signal processing apparatus for changing an input sound into an easy-to-hear sound. The signal processing apparatus includes a transformer that transforms an input signal into an amplitude component signal in a frequency domain, a stationary component estimator that estimates a stationary component signal having a frequency spectrum with a stationary characteristic based on the amplitude component signal in the frequency domain, a replacement unit that generates a new amplitude component signal using the amplitude component signal obtained by the transformer and the stationary component signal, and replaces the amplitude component signal by the new amplitude component signal, and an inverse transformer that inversely transforms the new amplitude component signal into an enhanced signal.

Signal processing apparatus, signal processing method, signal processing program

A signal processing apparatus, for processing sounds collected in an environment where a target sound and an interfering sound are mixed in order to estimate a diffuse interfering sound accurately, is provided. The signal processing apparatus includes phase difference calculating means and generating means. The phase difference calculating means calculates a phase difference between the first input signal and the second input signal. The first input signal is generated based on the first input sound which is input in the environment where the target sound and the interfering sound are mixed. The second input signal is generated based on the second input sound which is input in the environment. The generating means generates an estimated interfering sound signal, based on the phase difference and the first input signal.

Signal processing apparatus, signal processing method, and signal processing program

This invention provides a signal processing apparatus for improving the speech determination accuracy in an input sound. The signal processing apparatus includes a transformer that transforms an input signal into an amplitude component signal in a frequency domain, a calculator that calculates a norm of a change in the amplitude component signal in a frequency direction, an accumulator that accumulates the norm of the change in the amplitude component signal in the frequency direction calculated by the calculator, and an analyzer that analyzes speech in the input signal in accordance with an accumulated value of the norm of the change in the amplitude component signal in the frequency direction calculated by the accumulator.

In a converter unit system, converter units are connected in parallel. The converter unit includes a converter circuit connected to an AC power supply and a DC bus, a first inrush-current suppression resistor connected to the DC bus, a first contactor connected in parallel to the first inrush-current suppression resistor, a smoothing capacitor provided after the first inrush-current suppression resistor and the first contactor, a second contactor externally outputting ON/OFF signal, a voltage detection unit measuring a DC voltage value across the smoothing capacitor, and a control unit controlling the first contactor and the second contactor. The converter unit system includes a third contactor connected to the converter units, and a second inrush-current suppression resistor connected in parallel to the third contactor. When contacts of the second contactors are all closed, a contact of the third contactor is closed.

Converter unit system having inrush-current suppression circuit

A power conversion device includes a high-pass filter for extracting an AC component of voltage Vdc of a DC link section, a multiplier for multiplying output VdcAC of the high-pass filter by a first gain K1 and outputting the result, a multiplier for multiplying output of the multiplier by a second gain K2 and outputting the result as a d-axis voltage correction signal vdcmp*, and a multiplier for multiplying output of the multiplier by a third gain K3 and outputting the result as a q-axis voltage correction signal vqcmp*. The gate signal generation section generates gate signals on the basis of a signal vdobtained by adding the d-axis voltage correction signal vdcmp* to a d-axis voltage command value vd* and a signal vqobtained by adding the q-axis voltage correction signal vqcmp* to a q-axis voltage command value vq*.

Power conversion device

A converter includes a converter circuit that converts the AC voltages supplied from the &#x394;-connection and the Y-connection, which are two systems of a 12-phase rectifier transformer, to a DC voltage; a current detector that detects the current in a DC bus output from the converter circuit; and an imbalance detection unit that detects the occurrence of an imbalance between the current output from the &#x394;-connection and the current output from the Y-connection, the currents being detected by the current detector. The converter can detect an imbalance that occurs between the current flowing in the diode bridge on the &#x394;-connection side and the current flowing in the diode bridge on the Y-connection side.

Converter and power conversion device having an imbalance detection unit

There are provided a speech synthesis device, a speech synthesis method and a speech synthesis program which can represent a phoneme as a duration shorter than a duration upon modeling according to a statistical method. A speech synthesis deviceaccording to the present invention includes a phoneme boundary updating meanswhich, by using a voiced utterance likelihood index which is an index indicating a degree of voiced utterance likelihood of each state which represents a phoneme modeled by a statistical method, updates a phoneme boundary position which is a boundary with other phonemes neighboring to the phoneme.

Speech synthesis device, speech synthesis method, and speech synthesis program

There is provided a waveform processing device for changing power of each pitch waveform of a segment in order to acquire a natural synthesis speech. A power calculation meansselects pitch waveforms one by one from a group of pitch waveforms corresponding to a segment, and calculates a scalar indicating power of a selected pitch waveform. A normalization degree calculation meanscalculates a degree of normalization which is an index indicating a degree of normalization of a pitch waveform selected by the power calculation means, as a function value of an increasing function using the scalar as a variable. A change coefficient calculation meanscalculates a change coefficient for changing an amplitude value of a pitch waveform selected by the power calculation meansbased on the scalar and the degree of normalization. An amplitude change meansmultiplies an amplitude value at each sampling point of a pitch waveform selected by the power calculation meansby the change coefficient.

Waveform processing device, waveform processing method, and waveform processing program

A segment information generation device includes a waveform cutout unit cuts out a speech waveform from natural speech at a time period not depending on a pitch frequency of the natural speech. A feature parameter extraction unit extracts a feature parameter of a speech waveform from the speech waveform cut out by the waveform cutout unit. A time domain waveform generation unit generates a time domain waveform based on the feature parameter.

Segment information generation device, speech synthesis device, speech synthesis method, and speech synthesis program

A ripple current that flows into a main-circuit capacitor is estimated based on a system impedance and output power to a motor, thereby making it possible to always perform ripple-current estimation and life estimation computation for the main-circuit capacitor online. Because data of the system impedance which largely affects the ripple-current estimation for the main-circuit capacitor is used, the capacitor ripple current can be estimated according to the magnitude of the system impedance. This enables highly-accurate life estimation computation of the main-circuit capacitor.

Motor control device

There is provided a prosody generator that generates prosody information for implementing highly natural speech synthesis without unnecessarily collecting large quantities of learning data. A data dividing meansdivides into subspaces the data space of a learning database as an assembly of learning data indicative of the feature quantities of speech waveforms. A density information extracting meansextracts density information indicative of the density state in terms of information quantity of the learning data in each of the subspaces divided by the data dividing means. A prosody information generating method selecting meansselects either a first method or a second method as a prosody information generating method based on the density information, the first method involving generating the prosody information using a statistical technique, the second method involving generating the prosody information using rules based on heuristics.

Prosody generator, speech synthesizer, prosody generating method and prosody generating program

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Tokyo, Japan

Masanori Kato