Literature Review on Automatic Speech Recognition
نویسندگان
چکیده
منابع مشابه
Automatic Speech Recognition System: A Review
Speech is the most prominent & primary mode of Communication among human beings. Now-a-days Speech also has potential of being important mode of interaction with computers. This paper gives an overview of Automatic Speech Recognition System, Classification of Speech Recognition System and also includes overview of the steps followed for developing the Speech Recognition System in stages. This p...
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Speech recognition has been a challenging and multidisciplinary research area since decades. Speech Recognition technology has tremendous potential as it is an integral part of future intelligent devices, in which speech recognition and speech synthesis are used as the basic means for communicating with humans. In this paper, a survey of major landmarks in the research and development of automa...
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Speech recognition are becoming more and more useful nowadays. Various interactive speech aware applications are available in the market. Speech recognition systems are the efficient alternatives for such devices where typing becomes difficult. But they are usually meant for and executed on the traditional general-purpose computers. With growth in the needs for embedded computing and the demand...
متن کاملAutomatic speech recognition and speech variability: A review
Major progress is being recorded regularly on both the technology and exploitation of automatic speech recognition (ASR) and spoken language systems. However, there are still technological barriers to flexible solutions and user satisfaction under some circumstances. This is related to several factors, such as the sensitivity to the environment (background noise), or the weak representation of ...
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In this article we give guidelines on how to address the major technical challenges of automatic emotion recognition from speech in human-computer interfaces, which include audio segmentation to find appropriate units for emotions, extraction of emotion relevant features, classification of emotions, and training databases with emotional speech. Research so far has mostly dealt with offline eval...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/5565-7646