Abstract:
Disclosed are a speech retrieval apparatus and a speech retrieval method for searching, in a speech database, for an audio file matching an input search term by using an acoustic model serialization code, a phonemic code, a sub-word unit, and a speech recognition result of speech. The speech retrieval apparatus comprises a first conversion device, a first division device, a first speech retrieval unit creation device, a second conversion device, a second division device, a second speech retrieval unit creation device, and a matching device. The speech retrieval method comprises a first conversion step, a first division step, a first speech retrieval unit creation step, a second conversion step, a second division step, a second speech retrieval unit creation step, and a matching step.
Abstract:
A method and an apparatus are used for detecting a road partition, the method comprising: a step of obtaining a disparity top view having a road area; and a step of detecting parallel lines as the road partitions from the disparity top view.
Abstract:
User behavior analysis method and device are disclosed. The method comprises: obtaining a behavior record of users regarding commodities; acquiring, by determining a commodity feature vector in a predetermined commodity feature space of each of the commodities, a commodity feature matrix consisting of the commodity feature vectors of the commodities; for each of the users, calculating, based on a sub behavior record of the corresponding user regarding each of the commodities, a preference score of the corresponding user regarding each of the commodities, so as to get a score matrix composed of the preference scores of the users regarding the commodities; and for each of the users, determining, based on a regularized least squares based solution of a difference function of the score matrix and a prediction matrix, a user feature vector of the corresponding user in its related predetermined commodity feature space.
Abstract:
A lighting control method for use in a lighting control system is disclosed. The lighting control method includes acquiring an influence coefficient of each of lighting devices on at least one local device based on a measured amount of invisible beams and a measured amount of visible light, the influence coefficient representing an influence level of each of the lighting devices on the local device; and acquiring a dimmer level of each of visible light sources based on a corresponding one of the influence coefficients to control the amount of the visible light measured at a position of the local device such that the measured amount of the visible light reaches or approaches a target lighting amount of the local device.
Abstract:
Disclosed is a control method of controlling an air conditioning system. The control method comprises steps of obtaining plural adjustment parameter groups of each of plural air conditioners contained in the air conditioning system; acquiring at least one desired environmental parameter of each of one or more control targets; selecting, based on the desired environmental parameters, one from the plural adjustment parameter groups of each of the plural air conditioners to serve as a target adjustment parameter group of the corresponding air conditioner; and respectively transmitting the plural target adjustment parameter groups to the plural air conditioners, so that the plural air conditioners respectively set their adjustment functions according to the plural target adjustment parameter groups.
Abstract:
Disclosed are an intelligent illumination control method, apparatus, and system. The method includes a step of obtaining at least one image of a predetermined lighting area captured by at least one stereo camera; a step of determining, based on the at least one image, one or more target illuminance values of the predetermined lighting area; and a step of determining, based on the one or more target illuminance values, a dimming level of at least one illumination apparatus so that the at least one illumination apparatus works according to the determined dimming level.
Abstract:
A lighting control method for use in a lighting control system is disclosed. The lighting control method includes acquiring an influence coefficient of each of lighting devices on at least one local device based on a measured amount of invisible beams and a measured amount of visible light, the influence coefficient representing an influence level of each of the lighting devices on the local device; and acquiring a dimmer level of each of visible light sources based on a corresponding one of the influence coefficients to control the amount of the visible light measured at a position of the local device such that the measured amount of the visible light reaches or approaches a target lighting amount of the local device.
Abstract:
Disclosed are a speech retrieval apparatus and a speech retrieval method for searching, in an audio file database, for one or more target audio files by using one or more input search terms. The speech retrieval apparatus comprises a related document obtaining unit configured to search, in a related document database where documents related to audio files in the audio file database are stored, for one or more related documents by using the search terms; a correspondence audio file obtaining unit configured to search, in the audio file database, for one or more correspondence audio files corresponding to the obtained related documents; and a speech-to-speech search unit configured to search, in the audio file database, for the target audio files by using the obtained correspondence audio files.
Abstract:
Disclosed are a speech retrieval apparatus and a speech retrieval method for searching, in a speech database, for an audio file matching an input search term by using an acoustic model serialization code, a phonemic code, a sub-word unit, and a speech recognition result of speech. The speech retrieval apparatus comprises a first conversion device, a first division device, a first speech retrieval unit creation device, a second conversion device, a second division device, a second speech retrieval unit creation device, and a matching device. The speech retrieval method comprises a first conversion step, a first division step, a first speech retrieval unit creation step, a second conversion step, a second division step, a second speech retrieval unit creation step, and a matching step.
Abstract:
User behavior analysis method and device are disclosed. The method comprises: obtaining a behavior record of users regarding commodities; acquiring, by determining a commodity feature vector in a predetermined commodity feature space of each of the commodities, a commodity feature matrix consisting of the commodity feature vectors of the commodities; for each of the users, calculating, based on a sub behavior record of the corresponding user regarding each of the commodities, a preference score of the corresponding user regarding each of the commodities, so as to get a score matrix composed of the preference scores of the users regarding the commodities; and for each of the users, determining, based on a regularized least squares based solution of a difference function of the score matrix and a prediction matrix, a user feature vector of the corresponding user in its related predetermined commodity feature space.