Patent application number | Description | Published |
20090024392 | SPEECH RECOGNITION DICTIONARY COMPILATION ASSISTING SYSTEM, SPEECH RECOGNITION DICTIONARY COMPILATION ASSISTING METHOD AND SPEECH RECOGNITION DICTIONARY COMPILATION ASSISTING PROGRAM - A speech recognition dictionary making supporting system for efficiently making/updating a speech recognition dictionary/language model with reduced speech recognition errors by using text data available at low cost. The speech recognition dictionary making supporting system comprises a recognition dictionary storage section ( | 01-22-2009 |
20090271195 | SPEECH RECOGNITION APPARATUS, SPEECH RECOGNITION METHOD, AND SPEECH RECOGNITION PROGRAM - A speech recognition apparatus capable of attaining high recognition accuracy within practical processing time using a computing machine having standard performance by appropriately adapting a language model to a speech about a certain topic, irrespectively of a degree of detail and diversity of the topic and irrespectively of a confidence score of an initial speech recognition result is provided. The speech recognition apparatus includes hierarchical language model storage means for storing a plurality of language models structured hierarchically, text-model similarity calculation means for calculating a similarity between a tentative recognition result for an input speech and each of the language models, recognition result confidence score calculation means for calculating a confidence score of the recognition result, topic estimation means for selecting at least one of the language models based on the similarity, the confidence score, and a depth of a hierarchy to which each of the language models belongs, and topic adaptation means for mixing up the language models selected by the topic estimation means, and for creating one language model. | 10-29-2009 |
20090319513 | SIMILARITY CALCULATION DEVICE AND INFORMATION SEARCH DEVICE - [Problems] To accurately calculate similarity between media data and a query even if the media data or its meta data has an error. | 12-24-2009 |
20100138223 | SPEECH CLASSIFICATION APPARATUS, SPEECH CLASSIFICATION METHOD, AND SPEECH CLASSIFICATION PROGRAM - An object of the present invention is to allow classification of sequentially input speech signals with good accuracy based on similarity of speakers and environments by using a realistic memory use amount, a realistic processing speed, and an on-line operation. A speech classification probability calculation means | 06-03-2010 |
20100268535 | PRONUNCIATION VARIATION RULE EXTRACTION APPARATUS, PRONUNCIATION VARIATION RULE EXTRACTION METHOD, AND PRONUNCIATION VARIATION RULE EXTRACTION PROGRAM - A problem to be solved is to robustly detect a pronunciation variation example and acquire a pronunciation variation rule having a high generalization property, with less effort. The problem can be solved by a pronunciation variation rule extraction apparatus including a speech data storage unit, a base form pronunciation storage unit, a sub word language model generation unit, a speech recognition unit, and a difference extraction unit. The speech data storage unit stores speech data. The base form pronunciation storage unit stores base form pronunciation data representing base form pronunciation of the speech data. The sub word language model generation unit generates a sub word language model from the base form pronunciation data. The speech recognition unit recognizes the speech data by using the sub word language model. The difference extraction unit extracts a difference between a recognition result outputted from the speech recognition unit and the base form pronunciation data by comparing the recognition result and the base form pronunciation data. | 10-21-2010 |
20100278428 | APPARATUS, METHOD AND PROGRAM FOR TEXT SEGMENTATION - There is provided an apparatus including a model based topic segmentation section that segments a text using a topic model representing semantic coherence, a parameter estimation section that estimates a control parameter used in segmenting the text based on detection of a change point of word distribution in the text, using the result of segmentation by the model based topic segmentation unit as training data, and a change point detection topic segmentation section that segments the text, based on detection of the change point of word distribution in the text, using the parameter estimated by the parameter estimation section (FIG. | 11-04-2010 |
20100292989 | SYMBOL INSERTION APPARATUS AND SYMBOL INSERTION METHOD - Enables symbol insertion evaluation in consideration of a difference in speaking style features between speakers. For a word sequence transcribing voice information, the symbol insertion likelihood calculation means | 11-18-2010 |
20110010175 | TEXT DATA PROCESSING APPARATUS, TEXT DATA PROCESSING METHOD, AND RECORDING MEDIUM STORING TEXT DATA PROCESSING PROGRAM - Provided is to a text data processing apparatus, method and program to add a symbol at an appropriate position. The apparatus according to this embodiment is a text data processing apparatus that executes edit of a symbol in input text, the apparatus including symbol edit determination means | 01-13-2011 |
20110046952 | ACOUSTIC MODEL LEARNING DEVICE AND SPEECH RECOGNITION DEVICE - Parameters of a first variation model, a second variation model and an environment-independent acoustic model are estimated in such a way that an integrated degree of fitness obtained by integrating a degree of fitness of the first variation model to the sample speech data, a degree of fitness of the second variation model to the sample speech data, and a degree of fitness of the environment-independent acoustic model to the sample speech data becomes the maximum. Therefore, when constructing an acoustic model by using sample speech data affected by a plurality of acoustic environments; the effect on a speech which is caused by each of the acoustic environments can be extracted with high accuracy. | 02-24-2011 |
20110202487 | STATISTICAL MODEL LEARNING DEVICE, STATISTICAL MODEL LEARNING METHOD, AND PROGRAM - A statistical model learning device is provided to efficiently select data effective in improving the quality of statistical models. A data classification means | 08-18-2011 |
20110301952 | SPEECH RECOGNITION PROCESSING SYSTEM AND SPEECH RECOGNITION PROCESSING METHOD - The present invention provides a speech recognition processing system in which speech recognition processing is executed parallelly by plural speech recognizing units. Before text data as the speech recognition result is output from each of the speech recognizing units, information indicating each speaker is parallelly displayed on a display in emission order of each speech. When the text data is output from each of the speech recognizing units, the text data is associated with the information indicating each speaker and the text data is displayed. | 12-08-2011 |
20120035915 | LANGUAGE MODEL CREATION DEVICE, LANGUAGE MODEL CREATION METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - The present invention uses a language model creation device | 02-09-2012 |
20120233168 | SOUND AND IMAGE SEGMENT SORTING DEVICE AND METHOD - A sound segment sorting unit ( | 09-13-2012 |
20130231929 | SPEECH RECOGNITION DEVICE, SPEECH RECOGNITION METHOD, AND COMPUTER READABLE MEDIUM - The present invention can increase the types of noises that can be dealt with enough to enable speech recognition with a speech recognition rate of high accuracy. | 09-05-2013 |
20130317822 | MODEL ADAPTATION DEVICE, MODEL ADAPTATION METHOD, AND PROGRAM FOR MODEL ADAPTATION - A model adaptation device includes a recognition unit which creates a recognition result of recognizing data that complies with a target domain which is an assumed condition of recognition target data, based on at least two models and a candidate of a weighting factor indicating a weight of each model on a recognition process. A weighting factor determination unit determines the weighting factor so as to assign a smaller weight to a model having higher reliability. A model update unit updates at least one model out of the models, using the recognition result as the truth label. | 11-28-2013 |