System for classification of voice signals

a voice signal and voice technology, applied in the field of voice signal classification system, can solve the problems of inability to recognize true natural language, inability to design highly accurate natural language speech recognition system, inability to generate unconstrained voice-to-text translation in real-time, and general rigidity of speaker-independent speech recognition system
US20080154595A1Inactive Publication Date: 2008-06-26INT BUSINESS MASCH CORP
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Patent Information

Authority / Receiving Office
US · United States
Patent Type
Applications(United States)
Current Assignee / Owner
INT BUSINESS MASCH CORP
Publication Date
2008-06-26
Estimated Expiration
Not applicable · inactive patent

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Abstract

A system and method for classifying a voice signal to one of a set of predefined categories, based upon a statistical analysis of features extracted from the voice signal. The system includes an acoustic processor and a classifier. The acoustic processor extracts features that are characteristic of the voice signal and generates feature vectors using the extracted spectral features. The classifier uses the feature vectors to compute the probability that the voice signal belongs to each of the predefined categories and classifies the voice signal to a predefined category that is associated with the highest probability.
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Description

BACKGROUND OF THE INVENTION

[0001] 1. Field of the Invention

[0002] This invention relates generally to electronic voice processing systems, and relates more particularly to a system and method for voice signal classification based on statistical regularities in voice signals.

[0003] 2. Description of the Background Art

[0004] Speech recognition systems may be used for interaction with a computer or other device. Speech recognition systems usually translate a voice signal into a text string that corresponds to instructions for the device. FIG. 1 is a block diagram of a speech recognition system of the prior art. The speech recognition system includes a microphone 110, an analog-to-digital (A / D) converter 115, a feature extractor 120, a speech recognizer 125, and a text string 130. Microphone 110 receives sound energy via pressure waves (not shown). Microphone 110 converts the sound energy to an electronic analog voice signal and sends the analog voice signal to A / D converter 115. A / D conver...

Claims

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