Abstract: The present invention aims to effectively restrict access of a general user to an inappropriate information piece at the judgment of an information manager. In order to pick up a desired information from an information storage medium or an information communication network while excluding inappropriate information, an information manager inputs suitability of information (a teacher signal) to an information presented at a user terminal 21 to a group profile learning unit 16 and prepares a group profile reflecting suitability of the information as specified by the information manager using the teacher signal. At a score calculating unit 13, a score signal indicating suitability of information is calculated for each information using the group profile, and access of an information user in a group to inappropriate information is restricted.

Abstract: A random code vector reading section and a random codebook of a conventional CELP type speech coder/decoder are respectively replaced with an oscillator for outputting different vector streams in accordance with values of input seeds, and a seed storage section for storing a plurality of seeds. This makes it unnecessary to store fixed vectors as they are in a fixed codebook (ROM), thereby considerably reducing the memory capacity.

Abstract: A random code vector reading section and a random codebook of a conventional CELP type speech coder/decoder are respectively replaced with an oscillator for outputting different vector streams in accordance with values of input seeds, and a seed storage section for storing a plurality of seeds. This makes it unnecessary to store fixed vectors as they are in a fixed codebook (ROM), thereby considerably reducing the memory capacity.

Abstract: The information filtering apparatus has a configuration having a metric dividing section which divides a matrix indicating that what items a user needed and did not need into a plurality of matrixes, and a classification information filtering unit which calculates a plurality of classification necessities and a plurality of classification reliabilities using the plurality of matrixes divided in the metric dividing section.

Abstract: An inter-frame similarity between an input voice and a standard patterned word is calculated for each of frames and for each of standard patterned words, and a posterior probability similarity is produced by subtracting a constant value from each of the inter-frame similarities. The constant value is determined by analyzing voice data obtained from specified persons to set the posterior probability similarities to positive values when a word existing in the input voice matches with the standard patterned word and to set the posterior probability similarities to negative values when a word existing in the input voice does not match with the standard patterned word. Thereafter, an accumulated similarity having an accumulated value obtained by accumulating values of the posterior probability similarities according to a continuous dynamic programming matching operation for the frames of the input voice is calculated for each of the standard patterned words.

Abstract: In a method of speech recognition, an input speech signal is analyzed. A result of the analysis is collated with first predetermined standard patterns. A result of the collation is outputted as a sequence of similarities. The sequence of the similarities is handled as feature parameters of the input speech signal, and the feature parameters are collated with second predetermined standard patterns of all recognition objects. A final speech recognition result is generated in accordance with a result of the collation between the feature parameters and the second predetermined standard patterns.

Abstract: A method of speech recognition includes the steps of predetermining a series of parameters a.sub.1, a.sub.2, . . . , a.sub.J representative of standard patterns of speeches of preset words, where the letter J denotes a predetermined natural number; deriving parameters x.sub.i representative of data of respective frames of an input signal, the adscript i denotes a frame number; calculating similarities d.sub.j.sup.(i) between the parameters a.sub.j and the parameters x.sub.i, where j=1, 2, . . . , J; calculating parameters R.sub.j.sup.(i) for the respective preset words by referring to the following recurrence formulas:R.sub.1.sup.(i) =d.sub.1.sup.(i)R.sub.j.sup.(i) =d.sub.j.sup.(i) +opt(R.sub.j-1.sup.(i-h),R.sub.j-1.sup.(i-h-1),R.sub.j-1.sup.(i-h-2), . . . ,R.sub.j-1.sup.(i-h-m))where j=2, 3, . . .

Abstract: Power information from an input signal is used to detect the presence of speech. A reference point is established by the power information as the moment of detection of the start of speech. The end of a processing period for speech recognition is determined by a power information occurring after end of speech, so that feature parameters are extracted from the signal during the processing period having start and end points determined by the power information. Standard speech patterns of particular preset words are determined and similarities between the extracted feature parameters and the standard patterns are calculated and mutually compared. The selected preset word corresponds to a maximum of the similarities obtained during the processing period selected in accordance with the power information. The selected word is then outputted as the recognition result.

Abstract: Power information from an input signal is used to detect the presence of speech. A reference point is established as the moment of detection of the speech. During a period between the reference point and a subsequent point distant from the reference point by a predetermined range, the input signal is linearly changed to a corresponding signal having a predetermined period. Feature parameters are extracted from the signal with the predetermined period. The feature parameters are replaced by preset noise parameters in a portion having no speech component therein. Standard speech patterns of particular preset words are determined and similarities between the extracted feature parameters containing the noise parameters and the standard patterns are calculated and mutually compared. The foregoing steps are performed while the separations are varied within the predetermined range. Similar steps are performed as the reference point is shifted by a unit period, and similarities are calculated and mutually compared.

Abstract: Disclosed is a speech recognition apparatus comprising: a speech analysis portion for extracting parameters necessary for determination of spoken words; a speech period detecting portion for extracting one or more combinations of speech periods using the parameters; and a structure analysis portion for detecting feature points indicative of phoneme structure of each word and for determining a word through computation of similarity to proposed words in accordance with the presence and absence of the feature points. Therefore, erroneous recognition due to noise introduction or the like can be reduced by detecting one or more combinations of proposed speech periods by the speech period detecting portion. By extracting only necessary number of extracting points, which contribute to the distinguishment between words, with reference to analysis procedure provided for each word, the sharpness of determination is bettered.

Abstract: In this speech synthesizer which announces the time, storage and complexity is minimized by switching selection of fixed data and variable data from corresponding memories, to compose the phrase "the time is five o'clock".

Abstract: A single section digital filter is provided with a digital input signal and includes a serial multiplier having an input responsive to predetermine parameters. An adder/subtractor has an input serially connected to the multiplier output. A first switch serially selects recirculating data from an adder/subtractor output directly or delayed, or the digital input signal. A second input of the multiplier is serially provided with the selected data. A second switch serially and selectively connects delayed selected data to a second input of the adder/subtractor. A latch serially receives delayed data for effecting series/parallel conversion thereof.

Abstract: An electronic engraving and recording system comprising a television camera for picking up an image of an object and converting this image into an electrical signal, means for generating control signals on the basis of the synchronizing signal used in the television camera, memory means for storing the electrical signal under control of the control signals, means for engraving and recording the image according to the signal read out from the memory means under control of the control signals, and monitoring display means for displaying the visible image of the object in response to the application of the signal read out from the memory means. An image of an object can be simply engraved and recorded on a card within a short period of time without requiring any photographic original of the object.