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Speech recognition system and method

A technology of speech recognition and speech features, which is used in speech recognition, speech analysis, instruments, etc.

Inactive Publication Date: 2005-06-01
IBM CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In general, limit the search space by removing unlikely hypotheses

Method used

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  • Speech recognition system and method
  • Speech recognition system and method
  • Speech recognition system and method

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Embodiment Construction

[0018] The following description details how to implement various aspects of the invention as examples. Throughout this specification, refer to the Figures 1 to 6 . When referring to the drawings, like structures and components are indicated with like reference numerals.

[0019] Description of the preferred embodiment

[0020] exist figure 1 In, an example language processing system 1000 implementing example aspects of the present invention is illustrated. requires attention, figure 1 The speech processing system of ® is used for purposes of illustration only, and is only one representative architecture of numerous architectures that can implement various aspects of the invention. Accordingly, the present invention should not be considered limited to the system architectures shown in the drawings.

[0021] Such as figure 1 As shown, the language processing system 1000 includes a telephone system 210 , a voice transmission system 220 , a voice input device 230 and a se...

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Abstract

The invention discloses a voice recognition system and method. In a speech recognition system, a combination of a log-linear model and multiple speech features is provided to recognize unknown speech utterances. The speech recognition system uses a log-linear model to model the posterior probability of language units related to speech recognition. The posterior model captures the probabilities of language units given the observed phonetic features and the parameters of the posterior model. The a posteriori model can be determined with probabilities of word sequence hypotheses given a plurality of phonetic features. Use log-linear models with features derived from small or incomplete data. The speech features used may include asynchronous, overlapping and statistically independent features. Not all features used in training need to be present in detection / recognition.

Description

technical field [0001] The present invention relates generally to speech recognition systems, and more particularly to speech recognition systems that utilize a variety of speech features using log-linear models. Background technique [0002] Speech recognition systems are used to recognize word sequences from unknown speech utterances. In an exemplary speech recognition system, a feature extractor is used to extract speech features, such as cepstra and delta cepstra features, from an unknown utterance to characterize the unknown utterance. A search is then performed to compare features extracted from unknown utterances with models of phonetic units (such as phrases, words, syllables, phonemes, subphonemes, etc.) to compute probability scores for different word sequence hypotheses. In general, the search space is limited by removing unlikely hypotheses. The word sequence associated with the highest score or highest likelihood or highest probability is identified as the unk...

Claims

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Application Information

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IPC IPC(8): G10L15/10G10L15/00G10L15/02G10L15/06G10L15/14
CPCG10L15/02G10L15/063G10L15/14G10L2015/085
Inventor 斯科特·E·阿克塞罗德斯里拉姆·维斯瓦纳·巴拉克汉斯坦利·F·陈高雨青拉梅什·A·戈皮纳特郭宏光贝诺特·迈松大卫·那哈姆迈克尔·阿兰·皮奇尼乔治·A·萨翁杰弗里·G·芝威哥
Owner IBM CORP