Recognition of vowels in continuous speech by using formants
نویسندگان
چکیده
منابع مشابه
Using Speech Formants to Detect Vowels and Recognize Words in Automatic Speech Recognition
A method to automatically recognize an unknown word from a small list of known utterances is explored using the information contained in the first two speech formants (ie. the vowels).
متن کاملUse of formants in stressed and unstressed continuous speech recognition
Stress plays a crucial role in the understanding of speech by human listeners. However, automatic speech recognition results deteriorate in the presence of stress due to the change it causes in the speech parameters. Meanwhile, due to the vast diversity of the presence of stress in speech, a speech corpus that contains the majority of different stress conditions is difficult to obtain in real w...
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Arabic, the world’s second most spoken language in terms of number of speakers, has not received much attention from the traditional speech processing research community. This study is specifically concerned with the analysis of vowels in modern standard Arabic dialect. The first and second formant values in these vowels are investigated and the differences and similarities between the vowels e...
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Speech is generated by the co-ordination of various anatomical articulations known collectively as the vocal organs. The waveforms thus produced are either voiced or unvoiced speech. All the vowel sounds are voiced and have the sound source, the glottis. An amplification caused by the vocal tract filter is called resonance, and in speech these resonance are known as formants. Since each vowel h...
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: Facta universitatis - series: Electronics and Energetics
سال: 2010
ISSN: 0353-3670,2217-5997
DOI: 10.2298/fuee1003379p