Target-to-non-target directional ratio estimation based on dual-microphone phase differences for target-directional speech enhancement
نویسندگان
چکیده
In this paper, we propose a dual-microphone target-directional speech enhancement system utilizing target-to-non-target directional signal ratio (TNR) based on dual-microphone phase differences in adverse noise environments. One of the important issues associated with multi-microphone speech enhancement methods is the effective utilization of spatial cues such as phase differences for target-speech estimation within noisy speech. To this end, a TNR estimation method is presented based on phase differences between dual-microphone signals. Then, the estimated TNR is incorporated into a Wiener filter to obtain a masking filter for speech enhancement. Consequently, it is shown from a perceptual evaluation of speech quality that the performance of the proposed speech enhancement system outperforms those of conventional singleor dual-microphone speech enhancement systems based on a Wiener filter, beamformer, and phase-error-based filter under noise conditions with a signal-to-noise ratio ranging from 0 to 20 dB.
منابع مشابه
Analysis of dual-channel ICA-based blocking matrix for improved noise estimation
For speech enhancement or blind signal extraction (BSE), estimating interference and noise characteristics is decisive for its performance. For multichannel approaches using multiple microphone signals, a BSE scheme combining a blocking matrix (BM) and spectral enhancement filters was proposed in numerous publications. For such schemes, the BM provides a noise estimate by suppressing the target...
متن کاملThree Dimensional Localization of an Unknown Target Using Two Heterogeneous Sensors
Heterogeneous wireless sensor networks consist of some different types of sensor nodes deployed in a particular area. Different sensor types can measure different quantity of a source and using the combination of different measurement techniques, the minimum number of necessary sensors is reduced in localization problems. In this paper, we focus on the single source localization in a heterogene...
متن کاملTwo-Microphone Noise Reduction Using Spatial Information-Based Spectral Amplitude Estimation
Traditional two-microphone noise reduction algorithms to deal with highly nonstationary directional noises generally use the direction of arrival or phase difference information. The performance of these algorithms deteriorate when diffuse noises coexist with nonstationary directional noises in realistic adverse environments. In this paper, we present a two-channel noise reduction algorithm usi...
متن کاملComplete Closest-Target Based Directional FDH Measures of Efficiency in DEA
In this paper, we aim to overcome three major shortcomings of the FDH (Free Disposal Hull) directional distance function through developing two new, named Linear and Fractional CDFDH, complete FDH measures of efficiency. To accomplish this, we integrate the concepts of similarity and FDH directional distance function. We prove that the proposed measures are translation invariant and unit invari...
متن کامل