An improved feed forward adaptive Active Noise Control (ANC) scheme is proposed by using Voice Activity Detector (VAD) and wiener filtering method. The ‘speech-plus-noise’ periods and ‘noise-only’ periods are separated using VAD and the unwanted noise is removed by adaptive filtering method. By using Speech Distortion WeightedMultichannel Wiener Filtering (SDW-MWF) algorithm the noise periods w...

Numerous efforts have focused on the problem of reducing the impact of noise on the performance of various speech systems such as speech recognition, speaker recognition, and speech coding. These approaches consider alternative speech features, improved speech modeling, or alternative training for acoustic speech models. This study presents an alternative viewpoint by approaching the same probl...

This brief report discusses the affect of digital noise reduction (DNR) processing on aided speech recognition and sound quality measures in 14 adults fitted with a commercial hearing aid. Measures of speech recognition and sound quality were obtained in two different speech-in-noise conditions (71 dBA speech, +6 dB SNR and 75 dBA speech, +1 dB SNR). The results revealed that the presence or ab...

This paper deals with residual musical noise which results from the perceptual speech enhancement type algorithms and especially using wiener filtering approach. Perceptual speech enhancement techniques perform better than the non perceptual techniques, most of them still return a trouble residual musical noise. This is due to that only noise above the noise masking threshold (NMT) is filtered ...

Figure 3.1: Plots of the values of power spectra of speech and noise along with the cross-term of speech and noise, over a 20 ms window. Figure 3.2: Plots of the values of power spectra of speech and noise along with the cross-term of speech and noise, over a 20 ms window.

This study examined (1) the effects of noise on speech understanding and (2) whether performance in real-life noises could be predicted based on performance in steady-state speech-spectrum-shaped noise. The noise conditions included a steady-state speech-spectrum-shaped noise and six types of real-life noise. Thirty normal-hearing adults were tested using sentence materials from the Cantonese H...

This paper presents the single channel speech enhancement system using subband Kalman filtering by estimating optimal Autoregressive (AR) coefficients and variance for speech and noise, using Weighted Linear Prediction (WLP) and Noise Weighting Function (NWF). The system is applied for normal and Oesophageal speech signals. The method is evaluated by Perceptual Evaluation of Speech Quality (PES...

This paper presents results of the comparison between speech produced in silence and speech in noise, also known as Lombard speech. A temporal filtering algorithm was developed which successfully removes the ambient noise from recordings of Lombard speech by locating and subtracting a recording of the noise performed in the same environment. The filtering algorithm yields overall noise attenuat...

A successful speech enhancement system requires strong models for both speech and noise to decompose a mixture into the most likely combination. However, if the noise encountered differs significantly from the system’s assumptions, performance will suffer. In previous work, we proposed a speech enhancement framework based on decomposing the noisy spectrogram into low rank background noise and a...