A microphone array for speech enhancement using multiresolution wavelet transform

نویسنده

  • Djamila Mahmoudi
چکیده

This paper addresses the problem of enhancing a speech signal corrupted by interfering signals. A new noise reduction algorithm based on a logarithmic microphone array and the multiresolution wavelet transform is described. The proposed processing is applied in the time-spectral domain with respect to the logarithmic subband decomposition of the spectrum of each microphone signal. The advantage of the proposed method is that both the sub-array based beamforming operation and the post ltering are performed in the same transform domain without adding FFT processing. Computer simulation results show that our approach is effective for noise reduction. The technique can be used in hands-free voice communication applications operating in an adverse environment. In particular, it can be applied to improve speech signal pick-up for voice communication terminal.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Speech Enhancement Withmicrophone Spectral Subtraction in Real

It is very important to capture distant-talking speech with high quality for teleconferencing systems or voice-controlled systems. For this purpose, microphone array steering and Fourier spectral subtraction, for example, are ideal candidates. A combination technique using both microphone array steering and Fourier spectral subtraction has also been proposed to improve performance. However, it ...

متن کامل

Combined Wiener and coherence filtering in wavelet domain for microphone array speech enhancement

Wiener filter based postfiltering has shown its usefulness in microphone array speech enhancement systems. In our earlier work, we developed a postfilter in the wavelet domain where better performance has been obtained compared to the algorithms developed in the Fourier domain. Furthermore, considerable computational savings are provided thanks to the multi-resolution and multi-rate analysis. T...

متن کامل

Enhancement of Speech Compression Technique Using Wavelet Transforms With Parallel Processing and Fusion

The Discrete Wavelet Transform is the most powerful and new signal compression technique which uses multiresolution analysis for analyzing speech signal. Here we are doing parallel speech compression using two different wavelet transforms like Haar wavelets and Bi-orthogonal wavelet transformation (Bior). The resultant of components which are in high frequency bands are fusioned together and di...

متن کامل

A Microphone Array System for Speech Source Localization, Denoising, and Dereverberation

There is a great deal of potential for advancement in distant-talker speech acquisition research, and a wealth of current and future technology depends upon these advances. The goal of this work is to allow users the opportunity to roam unfettered in diverse environments while still providing a high quality speech signal and a robustness to background noise and reverberation effects. In this th...

متن کامل

A New Method for Speech Enhancement Based on Incoherent Model Learning in Wavelet Transform Domain

Quality of speech signal significantly reduces in the presence of environmental noise signals and leads to the imperfect performance of hearing aid devices, automatic speech recognition systems, and mobile phones. In this paper, the single channel speech enhancement of the corrupted signals by the additive noise signals is considered. A dictionary-based algorithm is proposed to train the speech...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1997