ABSTRACT
This paper proposes a multi-channel linear prediction (MCLP) speech dereverberation algorithm based on QR-decomposition recursive least squares (QR-RLS) adaptive filter, which can avoid the possible instability caused by the RLS algorithm, and achieve same speech dereverberation performance as the prototype MCLP dereverberation algorithm based on RLS. This can be confirmed by the theoretical derivation and experiments. Thus, the proposed algorithm can be a good alternative for practical speech applications.
- Naylor, P., &Gaubitch, N. D. (Eds.). 2010. Speech dereverberation. Springer Science & Business Media. Google ScholarDigital Library
- Kinoshita, K., Delcroix, M., Gannot, S., Habets, E. A., Haeb-Umbach, R., Kellermann, W., …&Sehr, A. 2016. A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research. EURASIP Journal on Advances in Signal Processing, 2016(1), 7.Google ScholarCross Ref
- Wu, M., & Wang, D. 2006. A two-stage algorithm for one-microphone reverberant speech enhancement. IEEE Transactions on Audio, Speech, and Language Processing, 14(3), 774--784. Google ScholarDigital Library
- Schwarz, A., &Kellermann, W. 2015. Coherent-to-diffuse power ratio estimation for dereverberation. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 23(6), 1006--1018.Google ScholarDigital Library
- Kinoshita, K., Delcroix, M., Nakatani, T., & Miyoshi, M. 2009. Suppression of late reverberation effect on speech signal using long-term multiple-step linear prediction. IEEE Transactions on Audio, Speech, and Language Processing, 17(4), 534--545. Google ScholarDigital Library
- Nakatani, T., Yoshioka, T., Kinoshita, K., Miyoshi, M., &Juang, B. H. 2008, March. Blind speech dereverberation with multi-channel linear prediction based on short time Fourier transform representation. IEEE International Conference on Acoustics, Speech and Signal Processing, (pp. 85--88).Google Scholar
- Jukić, A., van Waterschoot, T., Gerkmann, T., &Doclo, S. 2015. Multi-channel linear prediction-based speech dereverberation with sparse priors. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 23(9), 1509--1520. Google ScholarDigital Library
- Jukić, A., van Waterschoot, T., &Doclo, S. 2017. Adaptive speech dereverberation using constrained sparse multichannel linear prediction. IEEE Signal Processing Letters, 24(1), 101--105.Google ScholarCross Ref
- Farhang-Boroujeny, B. 2013. Adaptive filters: theory and applications. John Wiley & Sons.Google Scholar
- Golub, G. H., & Van Loan, C. F. 2012. Matrix computations (Vol. 3). JHU Press.Google Scholar
- Allen, J. B., & Berkley, D. A. 1979. Image method for efficiently simulating small‐room acoustics. The Journal of the Acoustical Society of America, 65(4), 943--950.Google ScholarCross Ref
- Garofolo, J. S., Lamel, L. F., Fisher, W. M., Fiscus, J. G., Pallett, D. S., Dahlgren, N. L., &Zue, V. 1993. TIMIT acoustic-phonetic continuous speech corpus. Linguistic data consortium, 10(5), 0.Google Scholar
Index Terms
- Multi-Channel Linear Prediction Speech Dereverberation Algorithm Based on QR-RLS Adaptive Filter
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