Reverberation time estimation based on a model for the power spectral density of reverberant speech. Faraji, N., Ahadi, S. M., & Sheikhzadeh, H. In 2016 24th European Signal Processing Conference (EUSIPCO), pages 1453-1457, Aug, 2016.
Reverberation time estimation based on a model for the power spectral density of reverberant speech [pdf]Paper  doi  abstract   bibtex   
In this paper, it is shown that the Power Spectral Density (PSD) of late reverberant speech can be described by a first-order Infinite Impulse Response (IIR) model with the pole related to the reverberation time. Utilizing this first-order IIR model, an online method for reverberation time estimation (RTE) from a recorded reverberant signal is proposed. The proposed method takes advantage of processing in subband domain in order to reliably estimate the reverberation time in noisy environments. Comparing with a well-known maximum likelihood approach for RTE, the superior performance of the new approach for fast tracking of RT with higher accuracy is demonstrated.
@InProceedings{7760489,
  author = {N. Faraji and S. M. Ahadi and H. Sheikhzadeh},
  booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},
  title = {Reverberation time estimation based on a model for the power spectral density of reverberant speech},
  year = {2016},
  pages = {1453-1457},
  abstract = {In this paper, it is shown that the Power Spectral Density (PSD) of late reverberant speech can be described by a first-order Infinite Impulse Response (IIR) model with the pole related to the reverberation time. Utilizing this first-order IIR model, an online method for reverberation time estimation (RTE) from a recorded reverberant signal is proposed. The proposed method takes advantage of processing in subband domain in order to reliably estimate the reverberation time in noisy environments. Comparing with a well-known maximum likelihood approach for RTE, the superior performance of the new approach for fast tracking of RT with higher accuracy is demonstrated.},
  keywords = {maximum likelihood estimation;reverberation;speech processing;transient response;reverberation time estimation;power spectral density;reverberant speech;first-order infinite impulse response model;RTE;maximum likelihood approach;Europe;Signal processing;Conferences},
  doi = {10.1109/EUSIPCO.2016.7760489},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570256574.pdf},
}
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