Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods

نویسنده

  • Peter Händel
چکیده

A theoretical framework for analysis of speech enhancement algorithms is introduced for performance assessment of spectral subtraction type of methods. The quality of the enhanced speech is related to physical quantities of the speech and noise (such as stationarity time and spectral flatness), as well as to design variables of the noise suppressor. The derived theoretical results are compared with the outcome of subjective listening tests as well as successful design strategies, performed by independent research groups.

برای دانلود رایگان 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

On noise reduction for enhancement of speech in mobile telephony applications

Noise reduction for mobile telephony applications is considered. A power spectral density error analysis is applied to the method of power subtraction. A minimum power spectral density error subtraction factor is derived, where the resulting factor depends on introduced quality factors. The outcome of the analysis is compared with experimental work as well as standardized noise reduction schemes.

متن کامل

Speech Enhancement in Presence of Noise using Spectral Subtraction and Wiener Filter

The process of suppressing the back ground noise in speech signals can be improved by subtraction of an estimate of the average noise spectrum from the noisy signal spectrum. The main objective of this paper is to implement and evaluate speech enhancement techniques based on spectral subtraction methods in presence of noise. The two techniques discussed in this paper are spectral subtraction fi...

متن کامل

Noise power spectral density estimation based on optimal smoothing and minimum statistics

We describe a method to estimate the power spectral density of nonstationary noise when a noisy speech signal is given. The method can be combined with any speech enhancement algorithm which requires a noise power spectral density estimate. In contrast to other methods, our approach does not use a voice activity detector. Instead it tracks spectral minima in each frequency band without any dist...

متن کامل

Improved Multi-band Spectral Subtraction Method for Speech Enhancement

In this paper, we propose a new approach to improve the performance of speech enhancement technique based on multi-band spectral subtraction for white Gaussian noise. First, the original power spectral subtraction and multiband spectral subtraction methods are surveyed and implemented. Next, the generalization is applied on multiband spectral subtraction. Finally, the flattened noise spectrum w...

متن کامل

Different Approaches of Spectral Subtraction method for Enhancing the Speech Signal in Noisy Environments

Enhancement of speech signal degraded by additive background noise has received more attention over the past decade, due to wide range of applications and limitations of the available methods. Main objective of speech enhancement is to improve the perceptual aspects of speech such as overall quality, intelligibility and degree of listener fatigue. Among the all available methods the spectral su...

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

عنوان ژورنال:
  • EURASIP J. Adv. Sig. Proc.

دوره 2007  شماره 

صفحات  -

تاریخ انتشار 2007