Environment-Optimized Speech Enhancement

@article{Fingscheidt2008EnvironmentOptimizedSE,
  title={Environment-Optimized Speech Enhancement},
  author={Tim Fingscheidt and Suhadi Suhadi and Sorel Stan},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2008},
  volume={16},
  pages={825-834}
}
In this paper, we present a training-based approach to speech enhancement that exploits the spectral statistical characteristics of clean speech and noise in a specific environment. In contrast to many state-of-the-art approaches, we do not model the probability density function (pdf) of the clean speech and the noise spectra. Instead, subband-individual weighting rules for noisy speech spectral amplitudes are separately trained for speech presence and speech absence from noise recordings in… CONTINUE READING
Highly Cited
This paper has 48 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 32 extracted citations

A posteriori speech presence probability estimation based on averaged observations and a super-Gaussian speech model

2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC) • 2014
View 3 Excerpts
Highly Influenced

Improving Speech Intelligibility in Noise Using Environment-Optimized Algorithms

IEEE Transactions on Audio, Speech, and Language Processing • 2010
View 5 Excerpts
Highly Influenced

A Priori SNR Computation for Speech Enhancement Based on Cepstral Envelope Estimation

2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC) • 2018
View 6 Excerpts

A Priori SNR Estimation Using Discriminative Non-Negative Matrix Factorization

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2018
View 1 Excerpt

A Simple and Effective Framework for a Priori SNR Estimation

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2018
View 1 Excerpt

Bayesian MMSE Filtering of Noisy Speech by SNR Marginalization With Global PSD Priors

IEEE/ACM Transactions on Audio, Speech, and Language Processing • 2018
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 24 references

Speech enhancement based on perceptually motivated bayesian estimators of the magnitude spectrum

IEEE Transactions on Speech and Audio Processing • 2005
View 6 Excerpts
Highly Influenced

Speech enhancement using a minimum mean-square error log-spectral amplitude estimator

IEEE Trans. Acoustics, Speech, and Signal Processing • 1985
View 8 Excerpts
Highly Influenced

A general optimization procedure for spectral speech enhancement methods

2006 14th European Signal Processing Conference • 2006
View 5 Excerpts
Highly Influenced

Noise power spectral density estimation based on optimal smoothing and minimum statistics

IEEE Trans. Speech and Audio Processing • 2001
View 3 Excerpts
Highly Influenced

Data-driven speech enhancement

T. Fingscheidt, S. Suhadi
Proc. ITG-Fachtagung “Sprachkommunikation”, Kiel, Germany, Apr. 2006, VDE-Verlag. • 2006
View 2 Excerpts

Similar Papers

Loading similar papers…