Abstract: An apparatus for monitoring a moving object comprises an image memory for storing a reference monitor image of a designated monitor region, a distance map memory for storing a distance map, the monitor image of the designated monitor region and the distance map comprising a plurality of blocks having distance data from a predetermined reference point in the monitor region to points corresponding to the blocks, an object image detector for detecting an object image based on an input monitor image of the designated monitor region and the reference monitor image read out from the image memory, and a distance detector for detecting a distance from the reference point to the moving object in accordance with the detected object image and the distance map read out from the distance map memory.

Abstract: Phoneme feature parameters are extracted from input digital speech signals by means of LPC analysis. Phonetic segments having phonetical meanings are obtained together with similarities to prescribed basic phonetic segments from the feature parameters to be passed through nodes of transition networks provided for each word. In passing the nodes, scores for similarity Sj of predetermined segments of the corresponding phonetic segments are made in selective scoring and the accumulation of the scores is used for recognition of continuous word speech.

Abstract: In a speech recognition system for recognizing speeches uttered by non-specific speakers, start and end points of a word or speech interval are determined by a novel preprocessor for searching a sound power level to obtain speech boundary candidates and for determining likelihoods of speech or word intervals on the basis of the boundary candidates. Since likelihoods (probabilities) are determined for speech interval candidates, the similarity rate between feature parameters and reference pattern set of a speech signal are calculated for only the higher likelihood candidates, thus improving the accuracy and the speed of speech recognition. A percentage of erroneous boundary decision is about 0.5% when two speech interval candidates of the first and second likelihoods are adopted.

Abstract: Speech recognition is improved by first recognizing a sequence of phonemes, then generating a compatibility coefficient between two continuous phonemes to modify the similarity measurements. The compatibility coefficient is varied for a plurality of modified similarity measurements to further improve recognition accuracy.

Abstract: Continuous speech signal is recognized using "rough" and "detail" parameters derived from prestored reference speech and current unknown speech. The detail parameters are 16 spectral coefficients, the rough parameters 2 or 4 spectral coefficients representing the signal. A word interval detector decides segmentation based on rough parameter similarity.

Abstract: Speaker verification is tested in a sequence of steps: speech recognition of the spoken identification code (key code) is followed by speaker verification using the sounds of the spoken identification code. If verification fails, the speaker is urged by a speech synthesizer to utter his or her name for speaker verification.

Abstract: An acoustic signal processing circuit extracts input speech pattern data and subsidiary feature data from an input speech signal. The input speech pattern data comprise frequency spectra, whereas the subsidiary feature data comprise phoneme and acoustic features. These data are then stored in a data buffer memory. The similarity measures between the input speech pattern data stored in the data buffer memory and reference speech pattern data stored in a dictionary memory are computed by a similarity computation circuit. When the largest similarity measure exceeds a first threshold value and when the difference between the largest similarity measure and the second largest measure exceeds a second threshold value, category data of the reference pattern which gives the largest similarity measure is produced by a control circuit to correspond to an input speech.

Abstract: The apparatus comprises an illuminating system including a rotary filter for spectrum-analyzing a sample containing white blood corpuscles subjected to WRIGHT staining process, for example, and mounted on a glass slide, into monochromatic lights having different wavelengths in the visible light range, a video camera for scanning a predetermined area of the spectrum-analyzed sample for producing a picture image, a photoelectric transducer for producing an electric signal corresponding to the tone of the picture image at the sampling point in the predetermined area, a digital-analogue converter for converting the electric signal into a digital signal, a memory device for storing the output from the digital-analogue converter, a circuit for normalizing the information stored in the memory device, similarity calculating circuit for determining the similarity between the output from the normalyzing circuit and reference data, means for detecting and storing the types of the white blood corpuscles respectively corr

Abstract: The segmentation apparatus comprises means for illuminating a blood smear mounted on a slide and subjected to WRIGHT staining successively with lights having wavelengths of 410 nm and 530 nm respectively for obtaining two blood corpuscle images produced by monochromatic lights having respective wavelengths, means for producing two electric signals having levels corresponding to the tones of respective blood corpuscle images, means for converting the two electric signals into binary signals in accordance with two different threshold valves, means for obtaining the exclusive OR of the two binary signals for detecting the white blood corpuscles in the blood, and means for obtaining the logical product of said two binary signals the segmenting the red blood corpuscles in the blood.