集合隶属度理论在语音线性预测分析中的应用

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1987-04-06 DOI:10.1109/ICASSP.1987.1169574

J. Deller, T. Luk

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引用次数: 10

摘要

提出了集隶属度(SM)识别理论，并将其应用于语音的线性预测分析。以一个模拟元音的LP参数为例进行了辨识。由于拒绝SM意义上的无信息数据，SM策略导致了显著的计算节省。

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Set-membership theory applied to linear prediction analysis of speech

The theory of set membership (SM) identification is formulated, and applied to linear prediction (LP) analysis of speech. The LP parameters of a simulated vowel are identified as an illustration. The SM strategy results in a significant computational savings due to rejection of data which are informationless in the SM sense.

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来源期刊

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing

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