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PubMed · 12934616

[Studies on speaker recognition based on complexity].

Min-dan Li·Hong Zhang·Qin-ye Tong
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Abstract

OBJECTIVE: To analyze the speech characters with computation complexity. METHOD: Voices of 51 testees spoke the same paragraph were recorded and the same sentence of voice waveform was intercepted as source data. There were two kinds of sample voices: same testee speaking the same sentence at different time and different testee speaking the same sentence. RESULT: The computation complexity curves of the different testee were obviously distinguishing, while those of the same testee were almost the same. In a 2D embedded space the computation complexity features of individual testee differs with others even if testees speak the same sentences. CONCLUSION: This complexity features might be applied to speaker recognition system and using complexity method to analyze speech signals has wide application prospect.

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AlgorithmsAudiometry, SpeechErgonomicsHumansRecognition, PsychologySignal Processing, Computer-AssistedSpeechSpeech Discrimination TestsSpeech IntelligibilitySpeech PerceptionComparative StudyJournal Article

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Min-dan Li, Hong Zhang, Qin-ye Tong. 2003. [Studies on speaker recognition based on complexity].. https://pubmed.ncbi.nlm.nih.gov/12934616/

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