The Experts below are selected from a list of 23445 Experts worldwide ranked by ideXlab platform
Rahim Saeidi - One of the best experts on this subject based on the ideXlab platform.
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INTERSPEECH - Phase Estimation for signal reconstruction in single-channel source separation
2020Co-Authors: Rahim Saeidi, Pejman Mowlaee, Rainer MartinAbstract:Single-channel speech separation algorithms frequently ignore the issue of accurate Phase Estimation while reconstructing the enhanced signal. Instead, they directly employ the mixed-signal Phase for signal reconstruction which leads to undesired traces of the interfering source in the target signal. In this paper, assuming a given knowledge of signal spectrum amplitude, we present a solution to estimate the Phase information for signal reconstruction of the sources from a single-channel mixture observation. We first investigate the effectiveness of the proposed Phase Estimation method employing known magnitude spectra of sources as an ideal case. We further relax the ideal signal spectra assumption by perturbing the clean signal spectra via Gaussian noise. The results show that for both scenarios, ideal and noisy magnitude signal spectra, the proposed Phase Estimation approach offers improved signal reconstruction accuracy, segmental SNR and PESQ compared to benchmark methods, and those neglecting the Phase information.
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IWAENC - Time-frequency constraints for Phase Estimation in single-channel speech enhancement
2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC), 2014Co-Authors: Pejman Mowlaee, Rahim SaeidiAbstract:Previous single-channel speech enhancement algorithms often employ noisy Phase while reconstructing the enhanced signal. In this paper, we propose novel Phase Estimation methods by employing several temporal and spectral constraints imposed on the Phase spectrum of speech signal. We pose the Phase Estimation problem as estimating the unknown clean speech Phase at sinusoids observed in additive noise. To resolve the ambiguity in Phase Estimation problem, we introduce individual time-frequency constraints: group delay deviation, instantaneous frequency deviation, and relative Phase shift. Through extensive simulations, the effectiveness of the proposed Phase Estimation methods in single-channel speech enhancement is demonstrated. Employing the estimated Phase for signal reconstruction in medium-to-high SNRs leads to consistent improvement in perceived quality compared to when noisy Phase is used.
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Phase Estimation for signal reconstruction in single channel source separation
Conference of the International Speech Communication Association, 2012Co-Authors: Rahim Saeidi, Pejman Mowlaee, Rainer MartinAbstract:Single-channel speech separation algorithms frequently ignore the issue of accurate Phase Estimation while reconstructing the enhanced signal. Instead, they directly employ the mixed-signal Phase for signal reconstruction which leads to undesired traces of the interfering source in the target signal. In this paper, assuming a given knowledge of signal spectrum amplitude, we present a solution to estimate the Phase information for signal reconstruction of the sources from a single-channel mixture observation. We first investigate the effectiveness of the proposed Phase Estimation method employing known magnitude spectra of sources as an ideal case. We further relax the ideal signal spectra assumption by perturbing the clean signal spectra via Gaussian noise. The results show that for both scenarios, ideal and noisy magnitude signal spectra, the proposed Phase Estimation approach offers improved signal reconstruction accuracy, segmental SNR and PESQ compared to benchmark methods, and those neglecting the Phase information.
Rainer Martin - One of the best experts on this subject based on the ideXlab platform.
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INTERSPEECH - Phase Estimation for signal reconstruction in single-channel source separation
2020Co-Authors: Rahim Saeidi, Pejman Mowlaee, Rainer MartinAbstract:Single-channel speech separation algorithms frequently ignore the issue of accurate Phase Estimation while reconstructing the enhanced signal. Instead, they directly employ the mixed-signal Phase for signal reconstruction which leads to undesired traces of the interfering source in the target signal. In this paper, assuming a given knowledge of signal spectrum amplitude, we present a solution to estimate the Phase information for signal reconstruction of the sources from a single-channel mixture observation. We first investigate the effectiveness of the proposed Phase Estimation method employing known magnitude spectra of sources as an ideal case. We further relax the ideal signal spectra assumption by perturbing the clean signal spectra via Gaussian noise. The results show that for both scenarios, ideal and noisy magnitude signal spectra, the proposed Phase Estimation approach offers improved signal reconstruction accuracy, segmental SNR and PESQ compared to benchmark methods, and those neglecting the Phase information.
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Phase Estimation for signal reconstruction in single channel source separation
Conference of the International Speech Communication Association, 2012Co-Authors: Rahim Saeidi, Pejman Mowlaee, Rainer MartinAbstract:Single-channel speech separation algorithms frequently ignore the issue of accurate Phase Estimation while reconstructing the enhanced signal. Instead, they directly employ the mixed-signal Phase for signal reconstruction which leads to undesired traces of the interfering source in the target signal. In this paper, assuming a given knowledge of signal spectrum amplitude, we present a solution to estimate the Phase information for signal reconstruction of the sources from a single-channel mixture observation. We first investigate the effectiveness of the proposed Phase Estimation method employing known magnitude spectra of sources as an ideal case. We further relax the ideal signal spectra assumption by perturbing the clean signal spectra via Gaussian noise. The results show that for both scenarios, ideal and noisy magnitude signal spectra, the proposed Phase Estimation approach offers improved signal reconstruction accuracy, segmental SNR and PESQ compared to benchmark methods, and those neglecting the Phase information.
Pejman Mowlaee - One of the best experts on this subject based on the ideXlab platform.
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INTERSPEECH - Phase Estimation for signal reconstruction in single-channel source separation
2020Co-Authors: Rahim Saeidi, Pejman Mowlaee, Rainer MartinAbstract:Single-channel speech separation algorithms frequently ignore the issue of accurate Phase Estimation while reconstructing the enhanced signal. Instead, they directly employ the mixed-signal Phase for signal reconstruction which leads to undesired traces of the interfering source in the target signal. In this paper, assuming a given knowledge of signal spectrum amplitude, we present a solution to estimate the Phase information for signal reconstruction of the sources from a single-channel mixture observation. We first investigate the effectiveness of the proposed Phase Estimation method employing known magnitude spectra of sources as an ideal case. We further relax the ideal signal spectra assumption by perturbing the clean signal spectra via Gaussian noise. The results show that for both scenarios, ideal and noisy magnitude signal spectra, the proposed Phase Estimation approach offers improved signal reconstruction accuracy, segmental SNR and PESQ compared to benchmark methods, and those neglecting the Phase information.
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IWAENC - Time-frequency constraints for Phase Estimation in single-channel speech enhancement
2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC), 2014Co-Authors: Pejman Mowlaee, Rahim SaeidiAbstract:Previous single-channel speech enhancement algorithms often employ noisy Phase while reconstructing the enhanced signal. In this paper, we propose novel Phase Estimation methods by employing several temporal and spectral constraints imposed on the Phase spectrum of speech signal. We pose the Phase Estimation problem as estimating the unknown clean speech Phase at sinusoids observed in additive noise. To resolve the ambiguity in Phase Estimation problem, we introduce individual time-frequency constraints: group delay deviation, instantaneous frequency deviation, and relative Phase shift. Through extensive simulations, the effectiveness of the proposed Phase Estimation methods in single-channel speech enhancement is demonstrated. Employing the estimated Phase for signal reconstruction in medium-to-high SNRs leads to consistent improvement in perceived quality compared to when noisy Phase is used.
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Phase Estimation for signal reconstruction in single channel source separation
Conference of the International Speech Communication Association, 2012Co-Authors: Rahim Saeidi, Pejman Mowlaee, Rainer MartinAbstract:Single-channel speech separation algorithms frequently ignore the issue of accurate Phase Estimation while reconstructing the enhanced signal. Instead, they directly employ the mixed-signal Phase for signal reconstruction which leads to undesired traces of the interfering source in the target signal. In this paper, assuming a given knowledge of signal spectrum amplitude, we present a solution to estimate the Phase information for signal reconstruction of the sources from a single-channel mixture observation. We first investigate the effectiveness of the proposed Phase Estimation method employing known magnitude spectra of sources as an ideal case. We further relax the ideal signal spectra assumption by perturbing the clean signal spectra via Gaussian noise. The results show that for both scenarios, ideal and noisy magnitude signal spectra, the proposed Phase Estimation approach offers improved signal reconstruction accuracy, segmental SNR and PESQ compared to benchmark methods, and those neglecting the Phase information.
Yan Tang - One of the best experts on this subject based on the ideXlab platform.
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Phase Estimation for Coherent Optical OFDM Transmission
COIN-ACOFT 2007 - Joint International Conference on the Optical Internet and the 32nd Australian Conference on Optical Fibre Technology, 2007Co-Authors: Xingwen Yi, William Shieh, Yan TangAbstract:Phase Estimation is one of the most critical functions in coherent optical OFDM (CO-OFDM) receivers. We present Phase Estimation and compensation for a CO-OFDM transmission experiment at 8 Gb/s over 1000-km standard- single-mode-fiber without dispersion compensation.
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Phase Estimation for Coherent Optical OFDM
IEEE Photonics Technology Letters, 2007Co-Authors: Xingwen Yi, William Shieh, Yan TangAbstract:Phase Estimation is one of the enabling functionalities in coherent optical orthogonal frequency-division-multiplexing (CO-OFDM) receivers. In this letter, we compare pilot-aided and data-aided Phase Estimation methods for a CO-OFDM transmission experiment at 8 Gb/s over 1000-km standard single-mode fiber without optical dispersion compensation. We also show that as few as five subcarriers are sufficient for pilot-aided Phase Estimation
Juan Yu - One of the best experts on this subject based on the ideXlab platform.
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Quantum Phase Estimation with a stable squeezed state
European Physical Journal D, 2020Co-Authors: Juan YuAbstract:Phase Estimation of optical field is a vital measurement strategy that can be used to perform accurate measurements of various physical quantities. Phase Estimation precision can be greatly enhanced by using the nonclassical state such as squeezed state and entangled state. Therefore, we addressed the generation of a stable squeezed state through locking the pump laser of non-degenerate optical parametric amplifier to a high finesse Fabry–Perot cavity based on an improved cascade Pound–Drever–Hall frequency stabilization strategy. Then the obtained squeezed state is used as the probe state of quantum Phase Estimation and its precision is enhanced from 9.3 E-5 (shot-noise-limit) to 4.2 E-5 at the optimal Phase with a given average photon number.
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Quantum enhanced optical Phase Estimation with a squeezed thermal state
arXiv: Quantum Physics, 2020Co-Authors: Juan Yu, Hong Wang, Kunchi PengAbstract:Quantum Phase Estimation protocols can provide a measuring method of Phase shift with precision superior to standard quantum limit (SQL) due to the application of a nonclassical state of light. A squeezed vacuum state, whose variance in one quadrature is lower than the corresponding SQL, has been pointed out a sensitive resource for quantum Phase Estimation and the Estimation accuracy is directly influenced by the properties of the squeezed state. Here we detailedly analyze the influence of the purity and squeezing level of the squeezed state on the accuracy of quantum Phase Estimation. The maximum precision that can be achieved for a squeezed thermal state is evaluated, and the experimental results are in agreement with the theoretical analyses. It is also found that the width of the Phase Estimation interval $\Delta \theta $ beyond SQL is correlated with the purity of the squeezed state.
