Deep learning for minimum mean-square error approaches to speech enhancement
نویسندگان
چکیده
منابع مشابه
Beta-order minimum mean-square error multichannel spectral amplitude estimation for speech enhancement
In this paper, the minimum mean-square error (MMSE) ˇ-order estimator for multichannel speech enhancement is proposed. The estimator is an extension of the single-channel MMSE ˇ-order and multichannel MMSE short-time spectral amplitude estimators using Rayleigh and Gaussian distributions for the statistical models under the assumption of a diffuse noise field where the noise is estimated indepe...
متن کاملSpeech enhancement using a minimum mean-square error short-time spectral modulation magnitude estimator
In this paper we investigate the enhancement of speech by applying MMSE short-time spectral magnitude estimation in the modulation domain. For this purpose, the traditional analysis-modification-synthesis framework is extended to include modulation domain processing. We compensate the noisy modulation spectrum for additive noise distortion by applying the MMSE short-time spectral magnitude esti...
متن کاملAccounting for the uncertainty of speech estimates in the complex domain for minimum mean square error speech enhancement
Uncertainty decoding and uncertainty propagation, or error propagation, techniques have emerged as a powerful tool to increase the accuracy of automatic speech recognition systems by employing an uncertain, or probabilistic, description of the speech features rather than the usual point estimate. In this paper we analyze the uncertainty generated in the complex Fourier domain when performing sp...
متن کاملAsymptotically Optimal Scalable Coding for Minimum Weighted Mean Square Error
In this paper, we derive an asymptotically optimal multi-layer coding scheme for entropy-coded scalar quantizers (SQ) that minimizes the weighted mean-squared error (WMSE). The optimal entropy-coded SQ is non-uniform in the case of WMSE. The conventional multi-layer coder quantizes the base-layer reconstruction error at the enhancement-layer, and is sub-optimal for the WMSE criterion. We consid...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Speech Communication
سال: 2019
ISSN: 0167-6393
DOI: 10.1016/j.specom.2019.06.002