The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The advancements in automatic speech recognition through pre-processing of speech is an alternative way to improve word recognition rate. In this work, we explored the speech enhancement techniques for improving the performance of automatic speech recognition for degraded dysarthric speech. The spectral floor parameter is optimized in the multi-band spectral subtraction technique as it controls the...
The term “Quality of Speech” in Speech Enhancement techniques is associated with Clarity and Intelligibility. Till now due to the variable nature and characteristics of noise with time and process to process, Speech Enhancement is a difficult problem in Noisy environment. In this paper, we proposed a method to improve the quality of speech based on combination of Digital Audio Effects with Improved...
In this paper, we present a consensus based distributed estimator to solve the naive node problem which exists in the distributed camera network. Due to the limited view of the camera, the camera node in the network may not be able to see the target all the time, which becomes a naive node. The existence of the naive node in the distributed network can decrease the performance of the estimator. This...
The intent of this paper is to track the height of a tidal wave, using the Kalman filter. By using the Kalman filter algorithm, mathematical expressions are derived to determine the height of a tidal wave. By placing buoy sensors at specific locations in the sea, the real tidal wave height is measured. The buoy sensor is placed at a particular distance from the shore. The sensors continuously record...
We have proved that restoring the instantaneous amplitude as well as instantaneous phase on Gammatone interbank plays a significant role for speech enhancement. However, it is still challenging topic with dereverberation since previously proposed scheme can only work in noisy environments. In this paper, we extend our previously proposed scheme to be general speech enhancement of removing the effects...
In the framework of speech enhancement we propose a new approach for signal recovering in colored noise based on adaptive Kalman filter. The approaches proposed in the past, in this context, operate in two steps: they first estimate the noises variances and the parameters of the signal and noise models and secondly estimate the speech signal. In this paper we propose a new parameters estimation method...
A new iterative speech enhancement scheme that can be seen as an approximation to the Expectation-Maximization (EM) algorithm is proposed. The algorithm employs a Kalman filter that models the excitation source as a spectrally white process with a rapidly time-varying variance, which calls for a high temporal resolution estimation of this variance. A Local Variance Estimator based on a Prediction...
We propose a method for estimating the power spectral density (PSD) of nonstationary noise when a noisy speech signal is given. The method is based on the Kalman filtering technique. In contrast to the known noise statistics tracking methods that are based on time smoothing of the noisy speech periodogram, we use a Kalman filter based on a low order model of the noise power spectrum and update the...
Speech signal enhancement is one of the important and primary processes used in speech processing, speech recognitions and speaker recognitions. This paper proposed the fast processed method for speech signal enhancement, which is the second order implementation of the fast adaptive Kalman filtering. This proposed method improves the processing time of conventional second order adaptive Kalman filter...
Speech, is very important for us to communicate. In speech communication, the speech signal is always accompanied by some noise. Hence speech enhancement technique is used for the removal of unwanted background noise. The objective of speech enhancement is to improve the perceptual aspects of speech such as overall quality, intelligibility, or degree of listener's fatigue. The goal of this work is...
There are many methods for decomposing signals into a sum of amplitude and frequency modulated sinusoids. In this paper we take a new estimation based approach. Identifying the problem as ill-posed, we show how to regularize the solution by imposing soft constraints on the amplitude and phase variables of the sinusoids. Estimation proceeds using a version of Kalman smoothing. We evaluate the method...
This paper addresses the issue of removal of broadband noise from audio recordings which are degraded by aging or limitations of the recording-reproduction mechanism. To achieve the noise reduction, the Kalman filter is applied to the digitized audio signals. Kalman filter is an optimum filter for minimizing the error variance between a measured signal and its estimation. This is a time domain method...
Based on the sampled data of a sinusoidal signal corrupted by unknown constant bias and noise with non-zero mean, a simple and novel approach is proposed to reconstruct the sinusoidal signal having same frequency as the original signal but free from unknown constant bias.Moreover, the noisy component of reconstructed signal have a zero mean no matter what the mean value of noisy component of original...
The choice of proposal distribution in the particle filter is one of the most important design choices, and also one of the trickiest one to implement. There are basically three main options: the prior, the likelihood and the optimal proposal that combines the prior and the likelihood. The optimal proposal however, can not be obtained in most cases. The prior proposal is although easy to implement,...
In this paper, we reconstruct the input signal of an IIR filter from the noise corrupted output signal. We perform two operations parallely. One deconvolution and the other, noise removal. We show how to use Kalman filter to perform this task. We develop theory for a very general scenario of reconstructing an ARMA process from its noise corrupted IIR filtered output. We develop augmented state space...
An important step in power disturbance data analysis is to first partition the disturbance sequence into transition and event segments. One main contribution of the paper is the propose of a new segmentation scheme that jointly uses the causal and anti-causal segmentation. We show that the actual location of a trigger point can be accurately estimated by combining the causal and anti-causal transition...
Based on the sampled data of a sinusoidal signal corrupted by unknown constant bias and noise with non-zero mean, a simple and novel approach is proposed to reconstruct the sinusoidal signal having same frequency as the original signal but free from unknown constant bias. Moreover, the noisy component of reconstructed signal have a zero mean no matter what the mean value of noisy component of original...
InSAR phase measurements are relative, ambiguous due to 2pi wrapping, and affected by atmospheric and other noise sources. For many real-world applications unambiguous displacement measurements are necessary. Currently available methods for extracting time series of surface displacement, start with unwrapping in time or space domain. We present a new extended Kalman filtering approach to phase unwrapping,...
A new technique for enhancing audio signal from a noisy nonstationary environment is presented in the paper. Autoregressive (AR) model is used to efficiently exploit the temporally correlated information of audio and noise signals during a short stationary frame. The temporal models of signals and noisy process are combined to construct a state space. The state space appropriately describes that the...
In this paper, we propose to combine the Kalman filter with a recent speech enhancement technique, called the phase spectrum compensation procedure, or PSC. More specifically, we apply the PSC technique to initialise the Kalman filter, whereby PSC is used to clean the noisy speech prior to LPC estimation for the Kalman recursion. We refer to the combined technique as the Kalman-PSC filter. Using an...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.