In mobile devices, perceived speech signal degrades significantly in the presence of background noise as it reaches directly at the listener's ears. There is a need to improve the intelligibility and quality of the received speech signal in noisy environments by incorporating speech enhancement algorithms. This paper focuses on speech enhancement method including auditory masking propertie...

In this work we evaluate the performance and behavior of two widely spread VoIP applications, namely Skype and Google Talk under different network conditions. Using a controlled environment we adopt different values for the capacities of critical links, delay, packet loss and jitter and assume the quality of received audio as the measurement of interest for evaluating its performance. We use th...

This paper assesses 9 prominent objective quality measures for their potential in intelligibility estimation. Degradation considered include additive noises and those introduced by coding and enhancement schemes, totalling 78 types. This paper is believed to be the first to conduct an assessment on such a large combination of quality measures and degradations allowing side-byside analysis. Expe...

Speech enhancement has an increasing demand in mobile communications and faces a great challenge in a real ambient noisy environment. This paper develops an effective spatialfrequency domain speech enhancement method with a single acoustic vector sensor (AVS) in conjunction with minimum variance distortionless response (MVDR) spatial filtering and Wiener post-filtering (WPF) techniques. In remo...

In this paper, a new approach that extends narrow-band excitation signals using synchronous overlap and add (SOLA) of spectra have been proposed. Although artificial bandwidth extension (ABE) of speech has been extensively studied, the role of excitation spectra has not been as widely studied as the spectral envelope extension. In this study ABE is investigated with the widely used source-filte...

Assistive speech-enabled systems are proposed to help both French and English speaking persons with various speech disorders. The proposed assistive systems use automatic speech recognition (ASR) and speech synthesis in order to enhance the quality of communication. These systems aim at improving the intelligibility of pathologic speech making it as natural as possible and close to the original...

This paper reports the results of a comparative study on blind speech separation (BSS) of two types of convolutive mixtures. The separation criterion is based on Frequency Oriented Principal Components Analysis (FOPCA). This method is compared to two other well-known methods: the Degenerate Unmixing Evaluation Technique (DUET) and Convolutive Fast Independent Component Analysis (C-FICA). The ef...

In recent years, speech enhancement by analysis-resynthesis has emerged as an alternative to conventional noise filtering approaches. Analysis-resynthesis replaces noisy speech with a signal that has been reconstructed from a clean speech model. It can deliver high-quality signals with no residual noise, but at the expense of losing information from the original signal that is not well-represen...

In mobile devices, perceived speech signal degrades significantly in the presence of background noise as it reaches directly at the listener's ears. There is a need to improve the intelligibility and quality of the received speech signal in noisy environments by incorporating speech enhancement algorithms. This paper focuses on speech enhancement method including auditory masking propertie...