While the state-of-the-art speech enhancement methods are focused on the modification of the noisy spectral amplitude, our recent findings demonstrate positive impact of incorporating the speech phase spectrum in speech enhancement. In this show and tell proposal, we demonstrate the recent progress towards utilizing the phase information in closed-loop iterative manner leading to the joint enha...

Low rate coders based on the harmonic-noise model are sensitive to acoustic background noise at low SNRs due to the increase in parameter errors from the analysis of noisy speech. We investigate the use of spectral subtraction enhancement preprocessing on the performance of the sinusoidal model based codec both by objective assessment of parameter errors and the subjective testing of output spe...

This research was carried out on enhancing throat microphone speech for noise-robust speech keyword spotting. The enhancement was performed by mapping the log-energy in the Mel-frequency bands of throat microphone speech to those of the corresponding close-talk microphone speech. An analytic equation detection system, Eureqa, which can infer nonlinear relations directly from observed data, was ...

A novel formulation of the nonstationary-state hidden Markov model (NS-HMM), employed as the speech model and serving as the theoretical basis for the construction of a speech enhancement system, is presented in this paper. The NS-HMM is used as a compact, parametric model, generalized from the stationary-state HMM, for describing clean speech statistics in the construction of the minimum mean-...

In this paper, we investigate the integration of two processing methods to improve speech quality for invehicle speech systems: multi-sensor beamforming and constrained iterative (Auto-LSP) speech enhancement. The intent is to establish an intelligent microphone array processing scheme in high noise environments by considering the effectiveness of a multi-sensor beamformer method and the Auto-L...

While the state-of-the-art speech enhancement methods are focused on the modification of the noisy spectral amplitude, our recent findings demonstrate positive impact of incorporating the speech phase spectrum in speech enhancement. In this show and tell proposal, we demonstrate the recent progress towards utilizing the phase information in closed-loop iterative manner leading to the joint enha...

In this paper, the aim of speech enhancement algorithms is to improve the quality or intelligibility of the noisy speech signals by using different enhancement algorithms. Many speech enhancement algorithms are designed to suppress additive background noise. This review paper presented the basic of spectral subtraction algorithm, minimum mean square error, wiener algorithm and TSDD algorithm, a...