Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 85-96 |
| Number of pages | 12 |
| Journal | Speech Communication |
| Volume | 86 |
| DOIs | |
| Publication status | Published - Feb 2017 |
Fingerprint
Cite this
Iterative joint MAP single-channel speech enhancement given non-uniform phase prior. / Mowlaee Beikzadehmahaleh, Pejman; Stahl, Johannes; Kulmer, Josef.
In: Speech Communication, Vol. 86, 02.2017, p. 85-96.Research output: Contribution to journal › Article › Research › peer-review
}
TY - JOUR
T1 - Iterative joint MAP single-channel speech enhancement given non-uniform phase prior
AU - Mowlaee Beikzadehmahaleh, Pejman
AU - Stahl, Johannes
AU - Kulmer, Josef
PY - 2017/2
Y1 - 2017/2
N2 - Within the last three decades research in single-channel speech enhancement has been mainly focused on filtering the noisy spectral amplitude without that much focus on the integration of phase-based signal processing. Recently, several phase-aware algorithms based on phase-sensitive signal models were proposed for speech enhancement using the minimum mean squared error (MMSE). Improved performance over the conventional phase-insensitive approaches has been achieved. In this paper, we propose an iterative joint maximum a posteriori (MAP) amplitude and phase estimator (ijMAP) assuming a non-uniform phase distribution. Experimental results demonstrate the effectiveness of the proposed method in recovering both amplitude and phase in noise, justified by perceived quality, speech intelligibility and phase estimation error instrumental measures. The proposed method, brings joint improvement in perceived quality and speech intelligibility compared to the phase-blind joint MAP estimator with a comparable performance to the complex MMSE estimator.
AB - Within the last three decades research in single-channel speech enhancement has been mainly focused on filtering the noisy spectral amplitude without that much focus on the integration of phase-based signal processing. Recently, several phase-aware algorithms based on phase-sensitive signal models were proposed for speech enhancement using the minimum mean squared error (MMSE). Improved performance over the conventional phase-insensitive approaches has been achieved. In this paper, we propose an iterative joint maximum a posteriori (MAP) amplitude and phase estimator (ijMAP) assuming a non-uniform phase distribution. Experimental results demonstrate the effectiveness of the proposed method in recovering both amplitude and phase in noise, justified by perceived quality, speech intelligibility and phase estimation error instrumental measures. The proposed method, brings joint improvement in perceived quality and speech intelligibility compared to the phase-blind joint MAP estimator with a comparable performance to the complex MMSE estimator.
U2 - https://doi.org/10.1016/j.specom.2016.11.008
DO - https://doi.org/10.1016/j.specom.2016.11.008
M3 - Article
VL - 86
SP - 85
EP - 96
JO - Speech Communication
JF - Speech Communication
SN - 0167-6393
ER -