2012
DOI: 10.2298/csis120208053f
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Speech unit category based short utterance speaker recognition

Abstract: Information of speech units like vowels, consonants and syllables can be a kind of knowledge used in text-independent Short Utterance Speaker Recognition (SUSR) in a similar way as in text-dependent speaker recognition. In such tasks, data for each speech unit, especially at the time of recognition, is often not enough. Hence, it is not practical to use the full set of speech units because some of the units might not be well trained. To solve this problem, a method of using speech unit catego… Show more

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Cited by 3 publications
(1 citation statement)
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“…For such problems, it becomes essential to take into account the speaker specific information with only short utterances of speech. In practise, SR requires a large amount of speech data, making use of huge files and complicated processing [2]. This has hampered the SR technology to be used widely [3] especially for a realistic application which is limited by constraints related to the memory and computational resource limitation or even the utterance duration fixed by the system.…”
Section: Introductionmentioning
confidence: 99%
“…For such problems, it becomes essential to take into account the speaker specific information with only short utterances of speech. In practise, SR requires a large amount of speech data, making use of huge files and complicated processing [2]. This has hampered the SR technology to be used widely [3] especially for a realistic application which is limited by constraints related to the memory and computational resource limitation or even the utterance duration fixed by the system.…”
Section: Introductionmentioning
confidence: 99%