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In this paper, we present an overview on the previous and recent methods proposed to estimate a clean spectral phase from a noisy observation in the context of single-channel speech enhancement. The importance of phase estimation in speech enhancement is inspired by the recent reports on its usefulness in finding a phase-sensitive amplitude estimation. We(More)
In conventional single-channel speech enhancement, typically the noisy spectral amplitude is modified while the noisy phase is used to reconstruct the enhanced signal. Several recent attempts have shown the effectiveness of utilizing an improved spectral phase for phase-aware speech enhancement and consequently its positive impact on the perceived speech(More)
While much progress has been made in designing robust automatic speech recognition (ASR) systems, the combination of high noise levels and reverberant room acoustics still poses a major challenge even to state-of-the-art systems. The following paper describes how robust automatic speech recognition in such difficult environments can be approached by(More)
Sound quality estimation of a speech enhancement or source separation system in a realistic adverse noise scenario is a challenge. In particular, the connection between results obtained by quality metrics versus those obtained from human subjective listening tests is unknown. In this paper, as the first attempt, we present results, which examine the(More)
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(More)
Many short-time Fourier transform (STFT) based single-channel speech enhancement algorithms are focused on estimating the clean speech spectral amplitude from the noisy observed signal in order to suppress the additive noise. To this end, they utilize the noisy amplitude information and the corresponding a priori and a posteriori SNRs while they employ the(More)
In many speech processing applications, the spectral amplitude is the dominant information while the use of phase spectrum is not so widely spread. In this paper, we present an overview on why speech phase spectrum has been neglected in the conventional techniques used in different applications including: speech separation/enhancement, automatic speech and(More)
This paper addresses the problem of distant speech recognition in reverberant noise conditions applying a star-shaped microphone array and missing data techniques. The performance of the system is evaluated over a German database, which has been contaminated with noise of an apartment of the DIRHA (Distant Speech Interaction for Robust Home Applications)(More)
Many short-time Fourier transform (STFT) based single-channel speech enhancement algorithms are focused on estimating clean speech spectral amplitude from the noisy observed signal in order to suppress the additive noise. To this end, the state-of-the-art speech enhancement algorithms, employ noisy amplitude information and correspondingly a priori and a(More)
One of the most important objectives in mobile communication systems is secure data communication (including text, picture, video and voice) especially, in high bit rate. For this reason, in this paper, a new procedure is proposed in which the intended data or voice is modulated onto speech-like waveforms; Then the modulated waveforms are transmitted over(More)