a r t i c l e i n f o a b s t r a c t A priori SNR A posteriori SNR SNR cells Spectral distortion Most speech enhancement methods based on short-time spectral modification are generally expressed as a spectral gain depending on the estimate of the local signal-to-noise ratio (SNR) on each frequency bin. Several studies have analyzed the performance of a priori SNR estimation algorithms to impro...

In this work, we present a model-based Wiener filter whose frequency response is optimized in the dimensionally reduced logMel domain. That is achieved by making use of a reasonably novel speech feature enhancement approach that has originally been developed in the area of speech recognition. Its combination with Wiener filtering is motivated by the fact that signal reconstruction from log-Mel ...

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...

Nonnegative matrix factorization (NMF) is an unsupervised technique to represent nonnegative data as linear combinations of nonnegative bases, which has shown impressive performance for source separation. However, its source separation performance degrades when one signal can also be described well with the bases for the interfering source signals. In this paper, we propose a discriminative NMF...

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...

The development of intelligent technology has also made rapid progress in relevant speech fields. In order to increase the application scenarios recognition systems, research improved traditional Speech enhancement algorithm, namely Ideal Binary Mask (IBM) and combined it with unimproved IBM algorithm propose an adaptive algorithm. Based on this built a new system, system uses FIR filter realiz...

Nonnegative matrix factorization- (NMF-) based noise reduction methods can effectively improve the performance of environmental sound recognition. However, when overlaps highly with noise, spectral line loss and residue will occur in low signal-to-noise ratio (SNR) condition. An adaptive algorithm was proposed this paper. First, noisy is separated into estimated using NMF. Then, used to calcula...

A comprehensive test has been performed in order to evaluate the PESQ performance on AMR live networks. The test was necessitated by the fact that the speech quality standard has not been tested and validated on AMR live networks yet. 1. Myth and reality about the AMR codec’s expected speech quality The operability of 3G networks is complex. It has been demonstrated that some estimated performa...

A novel scheme of allocating variable pulses for each frame is proposed to reduce the bit-rate of MPE and CELP coders while maintaining the same speech quality. Since speech signal is not stationary, the required pulse number in a speech coder should be variable frame by frame. In this paper we tried to approximate the optimal pulse allocation by greedy search algorithm based on the criterion o...