The speech signal enhancement is for obtain clean speech signal from noisy signal environment. For multimodal optimization we better to use natural-inspired algorithms. In this paper we use Firefly algorithmWe compare the firefly algorithm with particle swarm optimization technique (PSO). The proposed algorithm contains three important module techniques. Those are preprocessing module, optimiza...

A method for in-service monitoring of the end-user perceptual speech quality in modern cellular radio systems is proposed. This method incorporates the perceptual evaluation of speech quality (PESQ) algorithm to monitor the quality experienced by the end-user. Here, the monitoring is carried out at the transmitting side. In this case, the speech signal received by the end-user is approximated a...

Single-channel speech separation algorithms frequently ignore the issue of accurate phase estimation while reconstructing the enhanced signal. Instead, they directly employ the mixed-signal phase for signal reconstruction which leads to undesired traces of the interfering source in the target signal. In this paper, assuming a given knowledge of signal spectrum amplitude, we present a solution t...

For a speech-enhancement algorithm, it is highly desirable to simultaneously improve perceptual quality and recognition rate. Thanks to computational costs and model complexities, it is challenging to train a model that effectively optimizes both metrics at the same time. In this paper, we propose a method for speech enhancement that combines local and global contextual structures information t...

A phoneme class based speech enhancement algorithm is proposed that is derived from the family of constrained iterative enhancement schemes. The algorithm is a Rover based solution that overcomes three limitations of the iterative scheme. It removes the dependency of the terminating iteration, employs direct phoneme class constraints, and achieves suppression of audible noise. In the Rover sche...

This paper presents the source extraction system which can extract only target signals with constraints on source localization in on-line systems. The proposed system is a kind of methods for enhancing a target signal and suppressing other interference signals. But, the performance of proposed system is superior to any other methods and the extraction of target source is comparatively complete....

Voice over internet protocol (VoIP) is a method of providing phone services over dedicated public IP networks. It allows significant cost savings over traditional Public Switched Telephone Networks (PSTN). Speech quality, as perceived by the users of VoIP telephony, is critically important. Signal quality of the VoIP system is degraded by various network layer problems, which include delay, pac...

The speech of the Voice over Internet Protocol (VoIP) system is degraded by network layer problems which include delay, packet loss and jitter. The implementation of signal through digital signal processor can improve the quality of degraded VoIP signal. The work in this paper presents the comparison of speech quality for narrowband and wideband VoIP using TMS320C6713 DSP processor. The VoIP si...

In all speech communication settings the quality and intelligibility of speech is of utmost importance for ease and accuracy of information exchange. Kalman filter is an adaptive least square error filter that provides an efficient computational recursive solution for estimating a signal in presence of noises. Beamforming is another possible method of speech enhancement, because, the beamformer...

This paper proposes an effective feature compensation scheme to address severely adverse environments for robust speech recognition, where background noise and channel distortion are simultaneously involved. An iterative channel estimation method is integrated into the framework of our Parallel Combined Gaussian Mixture Model (PCGMM) based feature compensation algorithm [1]. A new speech corpus...