61 results about "Cache language model" patented technology

The invention discloses a voice recognition device and a voice recognition method, a language model generating device and a language model generating method, and computer program. The 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.

The present invention provides a speech recognition apparatus which appropriately performs speech recognition by generating, in real time, language models adapted to a new topic even in the case where topics are changed. The speech recognition apparatus includes: a word specification unit for obtaining and specifying a word; a language model information storage unit for storing language models for recognizing speech and corresponding pieces of tag information for each language model; a combination coefficient calculation unit for calculating the weights of the respective language models, as combination coefficients, according to the word obtained by the word specification unit, based on a relevance degree between the word obtained by the word specification unit and the tag information of each language model; a language probability calculation unit for calculating the probabilities of word appearance by combining the respective language models according to the calculated combination coefficients; and a speech recognition unit for recognizing speech by using the calculated probabilities of word appearance.

Methods, systems and computer readable medium for improving the accuracy of voice processing are provided. Embodiments of the present invention generally provide methods, systems and articles of manufacture for adjusting a language model within a voice recognition system. In one embodiment, changes are made to the language model by identifying a word-usage pattern that qualifies as an anomaly. In one embodiment, an anomaly occurs when the use of a given word (or phrase) differs from an expected probability for the word (or phrase), as predicted by a language model. Additionally, observed anomalies may be shared and applied by different users of the voice processing system, depending on an affinity in word-usage frequency between different users.

Methods and systems for automatic speech recognition and methods and systems for training acoustic language models are disclosed. In accordance with one automatic speech recognition method, an acoustic input data set is analyzed to identify portions of the input data set that conform to a general language and to identify portions of the input data set that conform to at least one dialect of the general language. In addition, a general language model and at least one dialect language model is applied to the input data set to perform speech recognition by dynamically selecting between the models in accordance with each of the identified portions. Further, speech recognition results obtained in accordance with the application of the models is output.

A speech recognition device is provided which includes: a language model storage unit which stores a language model indicating appearance probabilities of words or word sequences; an acoustic feature amount extracting unit and a checking unit which extract a feature amount of an inputted speech signal, and identifies the word or word sequence corresponding to the speech signal by checking the extracted feature amount with the language model stored in the language model storage unit; an obtained word signal receiving / analyzing unit which obtains and analyzes the word; and a language model adjusting unit which identifies the appearance probability of the word based on the time elapsed after obtaining the word by the obtained word signal receiving / analyzing unit and which adjusts the language model by reflecting the identified appearance probability on the language model stored in the language model storage unit.

Methods are disclosed for estimating language models such that the conditional likelihood of a class given a word string, which is very well correlated with classification accuracy, is maximized. The methods comprise tuning statistical language model parameters jointly for all classes such that a classifier discriminates between the correct class and the incorrect ones for a given training sentence or utterance. Specific embodiments of the present invention pertain to implementation of the rational function growth transform in the context of a discriminative training technique for n-gram classifiers.