Blind Source Separation for Speech Application Under Real Acoustic Environment
نویسندگان
چکیده
A hands-free speech recognition system [1] is essential for the realization of an intuitive, unconstrained, and stress-free human-machine interface, where users can talk naturally because they require no microphone in their hands. In this system, however, since noise and reverberation always degrade speech quality, it is difficult to achieve high recognition performance, compared with the case of using a close-talk microphone such as a headset microphone. Therefore, we must suppress interference sounds to realize a noise-robust hands-free speech recognition system.
منابع مشابه
Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach
Blind source represents a signal processing technique with a large potential for noise reduction. However, its application in modern digital hearing aids poses high demands with respect to computational efficiency and speed of adaptation towards the desired solution. In this paper, an algorithm is presented which fulfills these goals under the idealized assumption that the superposition of sour...
متن کاملReal Time and High Clarity Speech Signal Separation using Underdetermined BSS
Speech Separation is one of the persuaded technologies for extensive variety of application in various fields, in which separation of blind speech signal is a difficult assignment. The two methods for blind source separation are under-determined and over determined. Over determined blind source separation is the most stimulating issue as it has less number of sensors. Another method for techniq...
متن کاملModulation domain blind source separation for noisy speech mixture
In this paper, we propose a noise-robust blind speech separation (BSS) method by using two microphones. We first use modulation domain real and imaginary spectral subtraction (MRISS) to enhance both magnitude and phase spectra of the speech mixture inputs. We then estimate the direction of arrivals (DOAs) of the speech sources and perform time-acoustic-modulation frequency masking to recover th...
متن کاملWhitening Processing for Blind Separation of Speech Signals
Whitening processing methods are proposed to improve the effectiveness of blind separation of speech sources based on ADF. The proposed methods include preemphasis, prewhitening, and joint linear prediction of common component of speech sources. The effect of ADF filter lengths on source separation performance was also investigated. Experimental data were generated by convolving TIMIT speech wi...
متن کاملAdaptive Blind Signal Separation Using a New Simplified Mixing Model
This paper addresses the problem of separating multiple speakers from mixtures of these that are obtained using multiple microphones in a room. A new adaptive blind separation algorithm is proposed which is based on a new simplified mixing model and uses only second order statistics. The simplified model uses the fact that the acoustic transfer functions from a single source to two closely spac...
متن کامل