Speech enhancement is an important research area with numerous applications ranging from hearing aids, to coding and automatic recognition of speech signals. In this survey paper we focus on enhancement of the audio signal from Noise with help of various Adaptive Algorithm techniques. The LMS, NLMS, VSLMS and RLS algorithms comparative analysis was

This paper presents an iterative signal enhancement algorithm for noise reduction in speech. The algorithm is based on a truncated singular value decomposition (SVD) procedure, which has already been used as a tool for signal enhancement [1][2]. Compared to the classical algorithms, the novel algorithm gives rise to comparable improvements in signal-to-noise ratio (SNR). Moreover the algorithm ...

This paper presents an iterative signal enhancement algorithm for noise reduction in speech. The algorithm is based on a truncated singular value decomposition (SVD) procedure, which has already been used as a tool for signal enhancement 1]]2]. Compared to the classical algorithms, the novel algorithm gives rise to comparable improvements in signal-to-noise ratio (SNR). Moreover the algorithm h...

This paper proposes sparse and redundancy representation spectral domain compression of the speech signal using novel sparsing algorithms to the problem of speech compression (SC)/enhancement (SE). In Automatic Speaker Recognition (ASR) sparsification can play a major role to resolve big data issues in speech compression and its storage in the database, where the speech signal can be uncompress...

The quality of speech signal over a VoIP system is degraded by various network layer problems which include jamming, jitter, packet loss. Different types of noises also degrade the quality of speech signal such as external noise and quantization noise. This paper improves the quality of VoIP speech signal affected by these noises and network layer problems. The quality of degraded VoIP speech s...

This paper discusses an SVD-based signal enhancement procedure, applied to noise reduction in multi-microphone speech signals. The SVD-based signal enhancement procedure amounts to a specific optimal filtering problem when the so-called ‘desired response’ signal cannot be observed. The optimal filter can then be written as a function of the generalized singular vectors and singular values of a ...

A novel speech enhancement method with Weighted Denoising Auto-encoder (WDA) is proposed in this paper. A weighted reconstruction loss function is introduced to the conventional Denoising Auto-encoder (DA), and makes it suitable for the task of speech enhancement. First, the proposed WDA is used to model the relationship between the noisy and clean power spectrums of speech signal. Then, the es...

Most state-of-the-art speech enhancement (SE) techniques prefer to enhance utterances in the frequency domain rather than in the time domain. However, the overlap-add (OLA) operation in the short-time Fourier transform (STFT) for speech signal processing possibly distorts the signal and limits the performance of the SE techniques. In this study, a novel SE method that integrates the discrete wa...

In this paper, we propose an algorithm which enhances the speech intelligibility using the properties of human auditory system. In previous algorithms related to the speech intelligibility, the improvement in intelligibility has been mostly incorporated in a single-channel environment where the speech and noise signals are mixed together. But the speech enhancement problem of dual channel, in w...

This work proposes a method of speech enhancement that uses a network of HMMs to first decode noisy speech and to then synthesise a set of features that enables a clean speech signal to be reconstructed. Different choices of acoustic model (whole-word, monophone and triphone) and grammars (highly constrained to no constraints) are considered and the effects of introducing or relaxing acoustic a...