摘要:
An operator recognition device is provided that eliminates the registration of data such as HMM data having a characteristic amount for which error in recognition occurs easily when recognizing an operator, and thus reduces the possibility of errors in recognition, and has stable recognition performance. When registering HMM data that is used when performing recognition processing, a speaker recognition device 100 eliminates the registration of HMM data of a password having a characteristic amount of the spoken voice component that is similar to a characteristic amount that is indicated by HMM data that is already registered, and does not allow the registration of HMM data for which it is estimated that error in recognition will occur easily during the recognition process.
摘要:
An operator recognition device is provided that eliminates the registration of data such as HMM data having a characteristic amount for which error in recognition occurs easily when recognizing an operator, and thus reduces the possibility of errors in recognition, and has stable recognition performance. When registering HMM data that is used when performing recognition processing, a speaker recognition device 100 eliminates the registration of HMM data of a password having a characteristic amount of the spoken voice component that is similar to a characteristic amount that is indicated by HMM data that is already registered, and does not allow the registration of HMM data for which it is estimated that error in recognition will occur easily during the recognition process.
摘要:
An acoustic model registration apparatus, an talker recognition apparatus, an acoustic model registration method and an acoustic model registration processing program, each of which prevents certainly an acoustic model having a low recognition capability for talker from being registered certainly, are provided.When a talker utters for the N utterances and the utterance sounds of the N utterances are input through the microphone 1, the sound feature quantity extraction part 4 extracts sound feature quantities which indicate the acoustic features of the input utterance sounds, wherein each sound feature quantity has one-to-one correspondence to each utterance, the talker model generation part 5 generates a talker model based on the extracted sound feature quantities for the N utterances, the collation part 6 calculates the degree of individual similarity between the each sound feature quantity of the N utterances and the talker model generated above, and only in the case that all the calculated degrees of similarities of the N utterances are equal to or more than the threshold value, the similarity verifying part 9 directs to register the generated talker model in the talker models' database as a talker model for the talker recognition.
摘要:
A method of modifying feature parameters for a speech recognition is provided. This method is provided with: a process of extracting the feature parameter from an input speech in a real environment; a process of reading a first speech transfer characteristic corresponding to an environment in which a reference pattern for the speech recognition is generated, from a first memory device; a process of reading a second speech transfer characteristic corresponding to the real environment from a second memory device; a process of modifying the extracted feature parameter according to the first speech transfer characteristic and the second speech transfer characteristic to convert the extracted feature parameter corresponding to the real environment into a modified feature parameter corresponding to the environment in which the reference pattern is generated.
摘要:
A speech model preparing method capable of easily preparing a new Hidden Markov Model (HMM) of an input speech with a very few number of utterances like one or two times, and a speech recognition apparatus using this method. A speech recognition apparatus uses, as a speech model, a continuous distribution type HMM defined by three parameters of a state transition probability, an average vector and a variance. The apparatus computes an average vector of an input speech to be learned, selects an HMM approximate to the input to-be-learned speech as an initial model from a registration dictionary, replaces at least an average vector of the selected HMM with the computed average vector of the to-be-learned speech and adds an obtained HMM as an HMM for the input to-be-learned speech in the dictionary.
摘要:
A condenser-evaporator is constituted in such a way that first fluid chambers and second fluid chambers are alternately formed by multiple vertical partitions and a liquid in the first fluid chambers exchange heat with a fluid in the second fluid chambers, characterized in that a plurality of heat exchanger plates are arranged in multiple stages in the first fluid chambers to form a liquid passage having one end open, a plurality of liquid reservoirs communicating with the liquid passage and having a top open are provided in multiple stages on a side of the other end of the liquid passage, and a liquid is introduced in the liquid passage for heat exchange while being supplied to the liquid reservoir in each stage. Accordingly, the depth of the liquid is shallow so as to prevent a boiling point elevation due to the liquid head pressure, thus improving the efficiency of the condenser-evaporator.
摘要:
A condenser-evaporator for use in a large air separation plant in which the condenser-evaporator is provided between an upper column and a lower column, the condenser-evaporator condensing nitrogen gas, ascending from the lower column through first conduit, by heat exchange with liquid oxygen flowing down from an upper column through second conduit. The condenser-evaporator includes a plurality of condenser blocks wherein the oxygen chambers of each condenser block are divided in a vertically multistage manner by partition members and wherein the nitrogen chambers of each condenser block form common passages through all the stages.