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We describe a speech enhancement algorithm which leads to significant quality and intelligibility improvements when used as a preprocessor to a low bit rate speech coder. This algorithm was developed in conjunction with the mixed excitation linear prediction (MELP) coder which, by itself, is highly susceptible to environmental noise. The paper presents novel as well as known speech and noise estimation techniques and combines them into a highly effective speech enhancement system. The algorithm is based on short-time spectral amplitude estimation, soft-decision gain modification, tracking of the a priori probability of speech absence, and minimum statistics noise power estimation. Special emphasis is placed on enhancing the performance of the preprocessor in nonstationary noise environments. more...

A system for bandwidth extension of telephone speech, aided by data embedding, is presented. The proposed system uses the transmitted analog narrowband speech signal as a carrier of the side information needed to carry out the bandwidth extension. The upper band of the wideband speech is reconstructed at the receiving end from two components: a synthetic wideband excitation signal, generated from the narrowband telephone speech and a wideband spectral envelope, parametrically represented and transmitted as embedded data in the telephone speech. We propose a novel data embedding scheme, in which the scalar Costa scheme is combined with an auditory masking model allowing high rate transparent embedding, while maintaining a low bit error rate. The signal is transformed to the frequency domain via the discrete Hartley transform (DHT) and is partitioned into subbands. Data is embedded in an adaptively chosen subset of subbands by modifying the DHT coefficients. In our simulations, high quality wideband speech was obtained from speech transmitted over a telephone line (characterized by spectral magnitude distortion, dispersion, and noise), in which side information data is transparently embedded at the rate of 600 information bits/second and with a bit error rate of approximately 3⋅10−4. In a listening test, the reconstructed wideband speech was preferred (at different degrees) over conventional telephone speech in 92.5% of the test utterances. more...

In this paper, we address the problem of redundancy reduction of high-dimensional noisy signals that may contain anomaly (rare) vectors, which we wish to preserve. Since anomaly data vectors contribute weakly to the ℓ2 -norm of the signal as compared to the noise, ℓ2 -based criteria are unsatisfactory for obtaining a good representation of these vectors. As a remedy, a new approach, named Min-Max-SYD (MX-SVD) was recently proposed for signal-subspace estimation by attempting to minimize the maximum of data-residual ℓ2 -norms, denoted as ℓ2,∞ and designed to represent well both abundant and anomaly measurements. However, the MX-SVD algorithm is greedy and only approximately minimizes the proposed ℓ2,∞-norm of the residuals. In this paper we develop an optimal algorithm for the minization of the ℓ2 ,∞ -norm of data misrepresentation residuals, which we call Maximum Orthogonal complements Optimal Subspace Estimation (MOOSE). The optimization is performed via a natural conjugate gradient learning approach carried out on the set of n dimensional subspaces in IRm, m > n, which is a Grassmann manifold. The results of applying MOOSE, MX-SVD, and ℓ2- based approaches are demonstrated both on simulated and real hyperspectral data. [ABSTRACT FROM AUTHOR] more...

We describe a speech enhancement algorithmwhich leads to significant quality and intelligibilityimprovements when used as a preprocessor to a low bitrate speech coder. This algorithm was developedin conjunction with the mixed excitation linearprediction (MELP) coder which, by itself, ishighly susceptible to environmental noise.The paper presents novel as well as known speech and noiseestimation techniques and combines theminto a highly effective speech enhancement system.The algorithm is based on short-time spectral amplitudeestimation, soft-decision gain modification,tracking of the a priori probabilityof speech absence, and minimum statistics noisepower estimation. Special emphasis is placedon enhancing the performance of the preprocessorin nonstationary noise environments. [ABSTRACT FROM AUTHOR] more...