Parameter optimization of late reverberation suppression algorithm
Main Article Content
Abstract
Boundary values between early reflections and late reverberation, optimal in sense of such criteria as speech recognition accuracy and speech quality, had been found. When optimal boundary value is chosen, usage of logMMSE method for late reverberation suppression makes it possible to increase recognition accuracy from 22 ... 30% to 56…74% and speech quality index PESQ from 2.281 to 2.33.
Reference 6, figures 4.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
Naylor P., Gaubitch N. (2010), “Speech Der-everberation”. Springer.
Habets E.A.P. (2007), “Single- and Multi-Microphone Speech Dereverberation using Spectral Enhancement”. Ph.D Thesis. Eindho-ven.
Ephraim Y., Malah D. (1985), “Speech En-hancement Using a Minimum Mean-Square Er-ror Log-Spectral Amplitude Estimator”. IEEE Transactions on Acoustic, Speech, and Signal Processing. Vol. ASSP-33. No. 2. Pp. 443-445.
Loizou P. (2007), “Speech enhancement: The-ory and Practice”. Boca Raton: CRC Press.
Young S. (2005), “The HTK Book”. Cambridge University Engineering Department. [Online]. Available: http://htk.eng.cam.ac.uk/download.shtml
Brooks M. (2010), “VOICEBOX: Speech Proc-essing Toolbox for MATLAB”. [Online]. Avail-able: