دانلود مقاله ISI انگلیسی شماره 53060
ترجمه فارسی عنوان مقاله

روش ارتقاء سازه مبتنی بر LPC در کالمن فیلتر برای تقویت گفتار

عنوان انگلیسی
LPC-based formant enhancement method in Kalman filtering for speech enhancement
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
53060 2015 10 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : AEU - International Journal of Electronics and Communications, Volume 69, Issue 2, February 2015, Pages 545–554

ترجمه کلمات کلیدی
فیلتر کالمن - گفتار - ضرایب پیش بینی خطی؛ روش ارتقاء سازه
کلمات کلیدی انگلیسی
Kalman filtering; Speech enhancement; Linear prediction coefficients; Formant enhancement method
پیش نمایش مقاله
پیش نمایش مقاله  روش ارتقاء سازه مبتنی بر LPC در کالمن فیلتر برای تقویت گفتار

چکیده انگلیسی

In this work, we are concerned by a new iterative Kalman filtering scheme where a linear predictor model parameters are estimated from noisy speech. However, when only noise-corrupted speech is available, the enhancement performance of the Kalman filter is somewhat dependent on the accuracy of the linear prediction coefficients (LPCs) and excitation variance estimates. Nevertheless, linear prediction based speech (LPC) analysis is known to be sensitive to the presence of additive noise. To overcome this problem we present in this paper an analysis and application of the LPC-based formant enhancement method by modifying the log magnitude spectrum of the LPC model and then re-evaluating new LPCs to be applied on the Kalman filter. These enhanced LPCs are useful indicator of Kalman filter performance. Our enhancement experiments use a NOIZEUS speech corpus where the proposed method achieves higher objective and subjective results compared with other enhancement methods.