Abstract: Provided is a point cloud analysis device that curbs a decrease in model estimation accuracy due to a laser measurement point cloud. A clustering unit (30) clusters a point cloud representing a three-dimensional point on an object obtained by a measurement unit mounted on a moving body and performing measurement while scanning a measurement position, within a scan line, to obtain a point cloud cluster. A central axis direction estimation unit (32) estimates a central axis direction based on the point cloud cluster. A direction-dependent local effective length estimation unit (34) estimates a local effective length based on an estimated central axis direction and an interval of scan lines, the local effective length being a length when a length of projection of the point cloud cluster in a central axis direction for each of the point cloud clusters is interpolated by an amount of a loss part of the point cloud.

Abstract: To provide natural rubber latex sponge with little pinking, and in particular deproteinized natural rubber latex sponge with low allergic properties. Natural rubber latex sponge is discolored when irradiated with light for 24 hours in an ammonia atmosphere of 0.03 g/l. The discoloration of the natural rubber latex sponge causes a color difference ?E*ab of 0 to 10 between before and after the irradiation. The natural rubber latex sponge is produced from deproteinized natural rubber latex or latex obtained by causing a protein decomposition enzyme to react with natural rubber latex to decompose proteins.

Abstract: The present invention relates to a searching device, searching method, and program whereby searching for a word string corresponding to input voice can be performed in a robust manner. A voice recognition unit 11 subjects an input voice to voice recognition. A matching unit 16 performs matching, for each of multiple word strings for search results which are word strings that are to be search results for word strings corresponding to the input voice, of a pronunciation symbol string for search results, which is an array of pronunciation symbols expressing pronunciation of the word string search result, and a recognition result pronunciation symbol string which is an array of pronunciation symbols expressing pronunciation of the voice recognition results of the input voice.

Abstract: A search apparatus includes: a speech recognition unit that recognizes an input voice; a matching unit that matches a plurality of strings of search result target words; a generation unit that generates a string of search result words; a selecting unit that selects emphasis target words that are the targets to be emphasized in the words of the string of search result words, on the basis of the matching result with the string of search result target words, and a pronunciation symbol-to-word table in which the pronunciation symbols and the words are made to correspond to each other; and a conversion unit that converts the string of search result words into the string of emphasis words in which the emphasis target words are emphasized in the words of the string of search result words.

Abstract: A voice chat system includes a plurality of information processing apparatuses that performs a voice chat while performing speech recognition and a search server connected to the plural information processing apparatuses via a communication network. The search server discloses a search keyword list containing the search keywords searched by the search server to at least one of the plural information processing apparatuses. The at least one information processing apparatus includes a recognition word dictionary generating unit that acquires the search keyword list from the search server to generate a recognition word dictionary containing words for use in the speech recognition, and a speech recognition unit that performs speech recognition on voice data obtained from a dialog of the conversation during the voice chat by referencing a recognition database containing the recognition word dictionary.

Abstract: There is provided a voice processing device. The device includes: score calculation unit configured to calculate a score indicating compatibility of a voice signal input on the basis of an utterance of a user with each of plural pieces of intention information indicating each of a plurality of intentions; intention selection unit configured to select the intention information indicating the intention of the utterance of the user among the plural pieces of intention information on the basis of the score calculated by the score calculation unit; and intention reliability calculation unit configured to calculate the reliability with respect to the intention information selected by the intention selection unit on the basis of the score calculated by the score calculation unit.

Abstract: A search apparatus includes a sound recognition unit which recognizes input sound, a user information estimation unit which estimates at least one of a physical condition and emotional demeanor of a speaker of the input sound based on the input sound and outputs user information representing the estimation result, a matching unit which performs matching between a search result target pronunciation symbol string and a recognition result pronunciation symbol string for each of plural search result target word strings, and a generation unit which generates a search result word string as a search result for a word string corresponding to the input sound from the plural search result target word strings based on the matching result. At least one of the matching unit and the generation unit changes processing in accordance with the user information.

Abstract: The present invention relates to a searching device, searching method, and program whereby searching for a word string corresponding to input voice can be performed in a robust manner. A voice recognition unit 11 subjects an input voice to voice recognition. A matching unit 16 performs matching, for each of multiple word strings for search results which are word strings that are to be search results for word strings corresponding to the input voice, of a pronunciation symbol string for search results, which is an array of pronunciation symbols expressing pronunciation of the word string search result, and a recognition result pronunciation symbol string which is an array of pronunciation symbols expressing pronunciation of the voice recognition results of the input voice.

Abstract: A search apparatus includes: a speech recognition unit that recognizes an input voice; a matching unit that matches a plurality of strings of search result target words; a generation unit that generates a string of search result words; a selecting unit that selects emphasis target words that are the targets to be emphasized in the words of the string of search result words, on the basis of the matching result with the string of search result target words, and a pronunciation symbol-to-word table in which the pronunciation symbols and the words are made to correspond to each other; and a conversion unit that converts the string of search result words into the string of emphasis words in which the emphasis target words are emphasized in the words of the string of search result words.

Abstract: A search apparatus includes a sound recognition unit which recognizes input sound, a user information estimation unit which estimates at least one of a physical condition and emotional demeanor of a speaker of the input sound based on the input sound and outputs user information representing the estimation result, a matching unit which performs matching between a search result target pronunciation symbol string and a recognition result pronunciation symbol string for each of plural search result target word strings, and a generation unit which generates a search result word string as a search result for a word string corresponding to the input sound from the plural search result target word strings based on the matching result. At least one of the matching unit and the generation unit changes processing in accordance with the user information.

Abstract: A speech recognition device includes a sound source separation unit configured to separate a mixed signal of outputs of a plurality of sound sources into signals corresponding to individual sound sources and generate separation signals of a plurality of channels; a speech recognition unit configured to input the separation signals of the plurality of channels, the separation signals being generated by the sound source separation unit, perform a speech recognition process, generate a speech recognition result corresponding to each channel, and generate additional information serving as evaluation information on the speech recognition result corresponding to each channel; and a channel selection unit configured to input the speech recognition result and the additional information, calculate a score of the speech recognition result corresponding to each channel by applying the additional information, and select and output a speech recognition result having a high score.

Abstract: A signal processing device for processing an input signal includes gain calculating means and feature quantity calculating means. The gain calculating means is configured to obtain information indicating magnitude of noise to be added to the input signal on a basis of periodicity information indicating periodicity of the input signal and power of the input signal. The feature quantity calculating means is configured to obtain periodicity information of a noise-added signal obtained by adding noise having magnitude corresponding to the gain information to the input signal as a feature quantity of the input signal.

Abstract: There is provided a voice processing device. The device includes: score calculation unit configured to calculate a score indicating compatibility of a voice signal input on the basis of an utterance of a user with each of plural pieces of intention information indicating each of a plurality of intentions; intention selection unit configured to select the intention information indicating the intention of the utterance of the user among the plural pieces of intention information on the basis of the score calculated by the score calculation unit; and intention reliability calculation unit configured to calculate the reliability with respect to the intention information selected by the intention selection unit on the basis of the score calculated by the score calculation unit.

Abstract: A speech recognition device includes one intention extracting language model and more in which an intention of a focused specific task is inherent, an absorbing language model in which any intention of the task is not inherent, a language score calculating section that calculates a language score indicating a linguistic similarity between each of the intention extracting language model and the absorbing language model, and the content of an utterance, and a decoder that estimates an intention in the content of an utterance based on a language score of each of the language models calculated by the language score calculating section.

Abstract: It is intended to increase the recognition rate in speech recognition and image recognition. An observation vector as input data, which represents a certain point in the observation vector space, is mapped to a distribution having a spread in the feature vector space, and a feature distribution parameter representing the distribution is determined. Pattern recognition of the input data is performed based on the feature distribution parameter.

Abstract: A voice chat system includes a plurality of information processing apparatuses that performs a voice chat while performing speech recognition and a search server connected to the plural information processing apparatuses via a communication network. The search server discloses a search keyword list containing the search keywords searched by the search server to at least one of the plural information processing apparatuses. The at least one information processing apparatus includes a recognition word dictionary generating unit that acquires the search keyword list from the search server to generate a recognition word dictionary containing words for use in the speech recognition, and a speech recognition unit that performs speech recognition on voice data obtained from a dialog of the conversation during the voice chat by referencing a recognition database containing the recognition word dictionary.

Abstract: A signal processing device for processing an input signal includes gain calculating means and feature quantity calculating means. The gain calculating means is configured to obtain information indicating magnitude of noise to be added to the input signal on a basis of periodicity information indicating periodicity of the input signal and power of the input signal. The feature quantity calculating means is configured to obtain periodicity information of a noise-added signal obtained by adding noise having magnitude corresponding to the gain information to the input signal as a feature quantity of the input signal.

Abstract: A speech processing system including a speech recognition unit to receive input speech, and a natural language processing unit. The speech recognition unit performs speech recognition on input speech using acoustic models to produce a speech recognition result. The natural-language processing unit performs natural language processing on the speech recognition result, and includes: a machine translation unit; a dialog management unit; and a feedback unit. The feedback unit configured to feed back information obtained as a result of the natural language processing performed in the machine translation unit and the dialog management unit. The speech recognition unit processes feedback information including adaptation zones to adapt the acoustic models so that it can produce the speech recognition result with higher precision than when adaptation zones are not used.

Abstract: It is intended to increase the recognition rate in speech recognition and image recognition. An observation vector as input data, which represents a certain point in the observation vector space, is mapped to a distribution having a spread in the feature vector space, and a feature distribution parameter representing the distribution is determined. Pattern recognition of the input data is performed based on the feature distribution parameter.

Abstract: It is intended to increase the recognition rate in speech recognition and image recognition. An observation vector as input data, which represents a certain point in the observation vector space, is mapped to a distribution having a spread in the feature vector space, and a feature distribution parameter representing the distribution is determined. Pattern recognition of the input data is performed based on the feature distribution parameter.