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Griffin-Lim Like Phase Recovery via Alternating Direction Method of Multipliers (Yoshiki Masuyama et al., 2018)
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % -- Example Script for ADMMGLA ------------------------------------------- % % % Coded by Y. Masuyama, (mas-03151102@akane.waseda.jp) % Copyright 2018 Yoshiki Masuyama % % % # Reference % Y. Masuyama, K. Yatabe, and Y. Oikawa, " Griffin-Lim Like Phase Recovery % via Alternating Direction Method of Multipliers," IEEE Signal Process. % Lett., 2019. % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Note: The proposed algorithm is compared with the Griffin-Lim algorithm (GLA) [1] and the fast GLA (FGLA) [2]. In the letter, we used utterances in "TIMIT Database" contained in the "PhaseLab Toolbox" [3], and the babble noise in "NOISEX-92" [4]. Due to the licence, an utterance in "CMU Arctic Databases" [5] and the Gaussian noise are used in this example script. The reconstructed signals were evaluated by PESQ [6], STOI [7], and the spectral convergence [8]. For evaluating PESQ and STOI, "pesq2" in "PhaseLab Toolbox" [3] and "taal2011" in "Auditory Modeling Toolbox" [9] were used. Please download and i those toolboxes. Note that we use our "STFT" and "iSTFT" for publishing this example script. However, for the experiment in the letter, "Large Time-Frequency Analysis Toolbox" [10] was used for STFT and iSTFT. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % -- Reference ------------------------------------------------------------ % [1] D. Griffin and J. Lim, "Signal estimation from modified short-time % Fourier transform," IEEE Trans. Acoust., Speech, Signal Process., vol. % 32, no. 2, pp. 236-243, Apr. 1984. % % [2] N. Perraudin, P. Balazs, and P. L. Sondergaard, "A fast Griffin-Lim % algorithm," in IEEE Workshop Appl. Signal Process. Audio Acoust., % Oct. 2013, pp. 1-4. % % [3] P. Mowlaee, J. Kulmer, J. Stahl, and F. Mayer, Single Channel % Phase-Aware Signal Processing in Speech Communication: Theory and % Practice, Wiley, 2016. % (https://www2.spsc.tugraz.at/people/pmowlaee/PhaseLab.html) % % [4] A. Varga, H. J. M. Steeneken, M. Tomlinson, and D. Jones, "The NOISEX % -92 study on the effect of additive noise on automatic speech % recognition," Technical Report, DRA Speech Research Unit, 1992. % (http://spib.linse.ufsc.br/noise.html) % % [5] John Kominek and Alan W Black, "The CMU Arctic Speech Databases," in % Proc. 5th ISCA Speech Synthesis Workshop (SSW5), June 2004. pp. 223-224. % (http://festvox.org/cmu_arctic/) % % [6] A. W. Rix, J. G. Beerends, M. P. Hollier, and A. P. Hekstra, % "Perceptual evaluation of speech quality (PESQ) - A new method for speech % quality assessment of telephone networks and codecs," in IEEE Int. % Conf. Acoust., Speech Signal Process. (ICASSP), May 2001, vol. 19, % pp. 2125-2136. % % [7] C. H. Taal, R. C. Hendriks, R. Heusdens, and J. Jensen, "An algorithm % for intelligibility prediction of time-frequency weighted noisy speech," % IEEE Trans. Audio, Speech, Lang. Process., vol. 19, no. 7, pp. 2155-2136, % 2011. % % [8] N. Strumel and L. Daudet, "Signal reconstruction from STFT magnitude: % a state of the ar," in Int. Conf. Digit. Audio Effects (DAFx), Sept. % 2011, pp. 375-386. % % [9] P. Sondergaard, and P. Majdak, "The Auditory Modeling Toolbox," in % The Technology of Binaural Listening, (Springer, Berlin, Heidelberg), % pp. 33-56. 2013. % (http://amtoolbox.sourceforge.net/) % % [10] Z. Prusa, P. L. Sondergaard, N. Holighaus, C. Wiesmeyr, and P. % Balazs, "The Large Time-Frequency Analysis Toolbox 2.0.," in Sound, % Music, and Motion, Lecture Notes in Computer Science, pp. 419-442. 2014. % (http://ltfat.github.io/) % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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