Speaker recognition based on multilevel speech signal analysis on Polish corpus
نویسندگان
چکیده
منابع مشابه
Arabic speaker-independent continuous automatic speech recognition based on a phonetically rich and balanced speech corpus
This paper describes and proposes an efficient and effective framework for the design and development of a speaker-independent continuous automatic Arabic speech recognition system based on a phonetically rich and balanced speech corpus. The speech corpus contains a total of 415 sentences recorded by 40 (20 male and 20 female) Arabic native speakers from 11 different Arab countries representing...
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We have experimented with approaches to speech recognition that are inspired by work from the speaker recognition community, including an approach that was used in IBM’s best speech recognition submissions in its January 2009 evaluation. Here we explain in general terms the techniques used, without the full technical details. We initially used an approach based on Maximum a Posteriori (MAP) ada...
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Acoustical communication is one of the fundamental prerequisites for the existence of human society. Textual language has become extremely important in modern life, but speech has dimensions of richness that text cannot approximate. From speech alone, fairly accurate guesses can be made as to whether the speaker is male or female, adult or child. In addition, experts can extract from speech inf...
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A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملSpeaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
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ژورنال
عنوان ژورنال: Multimedia Tools and Applications
سال: 2013
ISSN: 1380-7501,1573-7721
DOI: 10.1007/s11042-013-1502-0