Abstract: In order to prevent, when a chip component is brazed to pads of a conductive wiring layer, short-circuiting by a fused brazing material from short-circuiting between the pads, a hybrid semiconductor circuit comprises a chip component 43 with terminal electrodes 46 formed at both ends thereof, a first conductive wiring layer 37 on which a plurality of the pads 38 are provided to correspond to the terminal electrodes 46, and an overcoat resin 39 for covering the first conductive wiring layer 37 excluding the pads 38, and the terminal electrodes 46 of the chip component 43 is adhered to the pads 38 by a conductive adhesive 57, and an insulating adhesive 58 is provided between the pads 38.

Abstract: A voice recognition/response system comprising an utterance recognition unit, a dialog control processing unit, an utterance feature analyzing unit and a response voice generating unit. The utterance recognition unit recognizes utterance content of a user through a voice input therefrom and outputs recognition results. The dialog control processing unit controls progress of dialog with the user based on the recognition results so as to determine response content to the user. The utterance feature analyzing unit analyzes utterance features of the user to generate utterance feature information. The response voice generating unit generates response voice to the user based on the response content and the utterance feature information.

Abstract: An apparatus for recognizing a word based on voice information, includes, a keyword model storing device, a non-keyword model storing device, a model updating device and a recognition device. The keyword model storing device stores words to be potentially spoken, as keyword models. The non-keyword model storing device stores words to be potentially spoken, as non-keyword models. The model updating device updates the recognition and non-keyword models, based on a previously recognized word. The recognition device matches the recognition and non-keyword models updated with the voice information. The model updating device updates the non-keyword models utilizing a non-keyword variation vector, which is indicative of variation of the non-keyword models, from the non-updated to the updated, and has been set to be smaller than a non-keyword variation vector applied in the updating of the non-keyword models.

Abstract: A speech recognizer 300 built into a navigation apparatus 100 includes a noise estimator 320 which calculates a noise model based on a microphone input signal, an adaptive processor 330 which performs an adaptive process on each keyword model and each non-keyword model stored in an HMM database 310 based on the noise model. The adaptive processor 330 performs a data adaptation process on each keyword model and non-keyword model based on the noise model and word spotting is performed based on the keyword models and the non-keyword models subjected to the data adaptation process.

Abstract: An vehicle-mounted internal combustion engine (1) provided with an EGR line (11) for recirculating exhaust gas, an EGR valve (12) which is arranged in said EGR line (11) and controls an EGR amount, and an EGR controller (41), is constituted so that said EGR controller (41) opens said EGR valve and performs control for scavenging said EGR line (11) at the time of reducing vehicle speed and during idling.

Abstract: Paired light shielding flange members, each having:

Abstract: The word-spotting apparatus is provided with: a feature parameter generator which extracts a speech segment from an input utterance, divides it into frames, and generates feature parameters of the utterance; an acoustic model storage which stores feature parameters of speech at a subword level; keyword model generator which generates a keyword model using pronunciation data of a keyword outputted from a keyword storage and feature parameters outputted from the acoustic model storage; a keyword likelihood calculator which calculates keyword similarity between the feature parameters of the utterance and feature parameters of the keyword model; and the Viterbi processor which calculates cumulative similarity of the keyword model.

Abstract: A speech recognition device comprises an HMM model database which prestores keyword HMMs which represent feature patterns of keywords to be recognized, likelihood calculator which calculates the likelihood of an extracted feature value of a speech signal in each frame by comparing it with keyword HMMs and designated-speech HMMs, extraneous-speech likelihood setting device which sets extraneous-speech likelihood based on the calculated likelihood of a match with the designated-speech HMMs, matching processor which performs a matching process based on the calculated likelihood and the extraneous-speech likelihood, and determining device which determines the keywords contained in the spontaneous speech based on the matching process.

Abstract: A voice recognition apparatus comprises a voice input device, a recognition processing device, a judging device and a setting device. The voice input device receives a voice input from a user. The recognition processing device performs a recognition processing to determine a plurality of word candidates corresponding to the voice input, through a matching processing with respective standby words in preset standby word groups. The judging device judges as whether or not the word candidates include a correct answer. The setting device determines a combination of most recognizable candidates in the word candidates and convertible word candidates thereof and sets same for the standby word groups to be used in a next recognition processing, in case where the judging device judges that the word candidate does not include the correct answer.

Abstract: An interactive information providing apparatus is provided with: an output component that provides an information requesting output for requesting a user for information; an input component that receives from the user input information to the information requesting output; and an interaction controller component that controls the output component and the input component according to a scenario, to carry on a dialogue with the user. In the apparatus, the interaction controller component changes a level at which the output component requests a user for information, according to an importance parameter associated with the scenario.

Abstract: A speech recognition apparatus comprises a speech analyzer which extracts feature patterns of spontaneous speech divided into frames; a keyword model database which prestores keyword which represent feature patterns of a plurality of keywords to be recognized; a garbage model database which prestores feature patterns of components of extraneous speech to be identified; and a first likelihood calculator which calculates likelihood of feature values based on feature values patterns of each frames and keywords; a second likelihood calculator which calculates likelihood of feature values based on feature values patterns of each frames and extraneous speech. The device recognizes keywords contained in the spontaneous speech by calculating cumulative likelihood based on the calculated likelihood adding a predetermined correction value in the second likelihood calculator.

Abstract: A sewing machine capable of preventing formation of no first stitch (skipping stitch), which is readily caused immediately after the sewing machine starts to operate, is obtained. In this sewing machine, a motor is so stopped as to locate a thread engaging part of a balance in the vicinity of a forward movement starting point leftward beyond a thread receiving opening of a thread guide plate. Thus, the thread engaging part of the balance reliably captures and pulls a needle thread immediately after the sewing machine starts to operate. Consequently, formation of no first stitch (skipping stitch), which is readily caused immediately after the sewing machine starts to operate, is prevented.

Abstract: An optical recording/reproducing apparatus includes a monitor sensor for sensing the amount of emission from a laser diode or optical head. The output of the monitor sensor is routed through a non-inverting wide-band amplifier and an inverting amplifier to an envelope detector. The envelope detector detects peak values out of the input signal and delivers them to a current amplifier via an amplifier and a comparator. The current amplifier feeds a current corresponding to the input to the laser diode. This current corresponds to erasing power. The apparatus senses the emission conditions of the laser diode between the start and end of the recording operation so as to cause erasing power to constantly coincide with a reference value.

Abstract: A sewing machine capable of preventing formation of no first stitch (skipping stitch), which is readily caused immediately after the sewing machine starts to operate, is obtained. This sewing machine comprises a first detector detecting that a thread engaging part of a balance is located in the vicinity of a forward movement starting point leftward beyond a thread receiving opening of a thread guide plate and an indicator operating on the basis of a detection signal received from the first detector. Thus, the operator can recognize that the thread engaging part of the balance is located in the vicinity of the forward movement starting point leftward beyond the thread receiving opening of the thread guide plate through the indicator.

Abstract: An axial direction sliding-contact type brush apparatus is provided which can not only maintain performance of suppressing vibration of a brush of a flat vibrator motor but also allow the brush to form a stable electrical contact with a commutator. The base portion of the brush is installed at the exposed portion of the pattern of the brush base above the bracket at an elevation angle of 45° or less with respect to the brush base. The ultraviolet-cured acryl-based resin is coated on the base portion of the brush to cover a position located at about ⅓ of the side projection length L of the brush arm portion from the base portion of the brush.

Abstract: A sewing machine capable of preventing formation of no first stitch (skipping stitch), which is readily caused immediately after the sewing machine starts to operate, is obtained. This sewing machine comprises a first detector detecting that a thread engaging part of a balance is located in the vicinity of a forward movement starting point leftward beyond a thread receiving opening of a thread guide plate and an indicator operating on the basis of a detection signal received from the first detector. Thus, the operator can recognize that the thread engaging part of the balance is located in the vicinity of the forward movement starting point leftward beyond the thread receiving opening of the thread guide plate through the indicator.

Abstract: A sewing machine capable of preventing formation of no first stitch (skipping stitch), which is readily caused immediately after the sewing machine starts to operate, is obtained. In this sewing machine, a motor is so stopped as to locate a thread engaging part of a balance in the vicinity of a forward movement starting point leftward beyond a thread receiving opening of a thread guide plate. Thus, the thread engaging part of the balance reliably captures and pulls a needle thread also immediately after the sewing machine starts to operate. Consequently, formation of no first stitch (skipping stitch), which is readily caused immediately after the sewing machine starts to operate, is prevented.

Abstract: A trained vector creating part 15 creates a characteristic of an unvoiced sound in advance as a trained vector V. Meanwhile, a threshold value THD for distinguishing a voice from a background sound is created based on a predictive residual power &egr; of a sound which is created during a non-voice period. As a voice is actually uttered, an inner product computation part 18 calculates an inner product of a feature vector A of an input signal Sa and a trained vector V, and a first threshold value judging part 19 judges that it is a voice section when the inner product has a value which is equal to or larger than a predetermined value &thgr; while a second threshold value judging part 21 judges that it is a voice section when the predictive residual power &egr; of the input signal Sa is larger than a threshold value THD.

Abstract: A trained vector generation section 16 generates beforehand a trained vectorv of unvoiced sounds. An LPC Cepstrum analysis section 18 generates a feature vector A of a voice within the non-voice period, an inner product operation section 19 calculates an inner product value VTA between the feature vector A and the trained vector V, and a threshold generation section 20 generates a threshold &thgr;v on the basis of the inner product value VTA. Also, the LFC Cepstrum analysis section 18 generates a prediction residual power &egr; of the signal within the non-voice period, and the threshold generation section 22 generates a threshold THD on the basis of the prediction residual power &egr;.

Abstract: A photosensor receives laser light reflected from an optical disk with a two-segmented photodetecting surface. A relative speed detecting section binarizes a difference signal of output signals of the photosensor, and detects time points when the laser light is located at the centers of tracks and grooves of the optical disk. When a detected interval is longer than a preset value, the relative speed detecting section outputs a speed detection pulse having a preset pulse width. A track detecting section binarizes a sum signal of the output signals of the photosensor, detects time points when the laser light is located at a track edge, and outputs a track detection pulse having a preset pulse width. A loop switch turns on/off a tracking servo loop in accordance with a tracking start signal that is generated by an AND circuit and a D flip-flop.