Objective and subjective evaluation of adaptive speech enhancement methods for functional MRI

Journal of Magnetic Resonance Imaging

Volumn 31, Issue 1, 2010, Pages 46-55

  Ramachandran, Venkat R ^a   Panahi, Issa M S ^b   Milani, Ali A ^b  

^a Starkey Laboratories Inc   (United States)

^b The University of Texas at Dallas   (United States)

Author keywords

fMRI; Multiband; Normalized LMS; Speech enhancement; Subband; Two channel

Indexed keywords

ACOUSTICS; ADULT; ALGORITHM; ARTICLE; CLINICAL TRIAL; CONTROLLED STUDY; FEMALE; FILTER; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INFORMATION PROCESSING; MALE; MICROPHONE; NOISE; NOISE REDUCTION; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; RECORDING; SIGNAL NOISE RATIO; SPEECH;

ALGORITHMS; ARTIFACTS; HUMANS; MAGNETIC RESONANCE IMAGING; NOISE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOUND SPECTROGRAPHY; SPEECH PRODUCTION MEASUREMENT; SPEECH RECOGNITION SOFTWARE;

EID: 74049147017     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.21993     Document Type: Article

References (29)

1. Ravicz M, Melcher JR, Kiang NY-S. Acoustic noise during functional magnetic resonance imaging. J Acoust Soc Am 2000;108:1683-1696.
2. Mayer J. Prosody processing in speech production: pre-evaluation of a fMRI study. In: Proc 14th International Congress of Phonetic Sciences; 1999:2339-2342.
3. Cusack R, Cumming N, Bor D, Norris D, Lyzenga J. Automated post-hoc noise cancellation tool for audio recordings acquired in an MRI scanner. Hum Brain Mapp 2005;24:299-304.
4. McJury M, Shellock FG. Auditory noise associated with MR procedures: a review. J Magn Reson Imaging 2000;12:37-45.
5. Hall DA, Haggard MP, Akeroyd MA, et al. Sparse temporal sampling in auditory fMRI. Hum Brain Mapp 1999;7:213-223.
6. Edmister WB, Talavage TM, Ledden PJ, Weisskoff RM. Improved auditory cortex imaging using clustered volume acquisitions. Hum Brain Mapp 1999;7:89-97.
7. Schwarzbauer C, Davis MH, Rodd JM, et al. Interleaved silent steady state (ISSS) imaging: a new sparse imaging method applied to auditory fMRI. Neuroimage 2006;29:774-782.
8. Chen CK, Chiueh T-D, Chen J-H. Active cancellation system of acoustic noise in MR imaging. IEEE Trans Biomed Eng 1999;46:186-191.
9. McJury M, Stewart RW, Crawford D, Toma E. The use of active noise control (ANC) to reduce acoustic noise generated during MRI scanning: some initial results. Magn Reson Imaging 1997;15:319-322.
10. Kuo SM, Morgan DR. Active noise control systems - algorithms and DSP implementations. New York: John Wiley & Sons; 1996. p 5-16.
11. Reddy RM, Panahi IMS, Briggs RW. Analysis and realization of an active noise control system on DSP hardware using an fMRI bore model. Proc IEEE EMBS 2007;3417-3420.
12. Li M, Lim T, Lee J. Simulation study on active noise control for a 4-T MRI scanner. Magn Reson Imaging 2008;26:393-400.
13. Jung K-J, Prasad P, Yulin Q, Anderson JR. Extraction of overt verbal response from the acoustic noise in a functional magnetic resonance imaging scan by use of segmented active noise cancellation. Magn Reson Med 2005;53:739-744.
14. Quinn B, Mehta S, Eaton B, Grabowski TJ, Bolinger L. Real-time detection of speech envelopes for fMRI. In: Proc 10th Annual Meeting ISMRM, Honolulu; 2002. Abstract 1450.
15. Virag N. Single channel speech enhancement based on masking properties of the human auditory system. IEEE Trans Speech Audio Process 1999;7:126-137.
16. Featherstone E, Josephs O. Speech recording during fMRI. Neuroimage 2001;13:6.
17. Sayed AH. Fundamentals of adaptive filtering. New York: John Wiley & Sons; 2003. p 212-229.
18. Bershad NJ. Analysis of the normalized with LMS algorithm gaussian inputs. IEEE Trans Acoust Speech Signal Process 1986;34:793-806.
19. Hi X, Hu A-Q, Zhao L. A robust adaptive speech enhancement system. IEEE Conf Neural Networks Signal Processing 2003;1:814-817.
20. Kamath SD, Loizou PC. A multi-band spectral subtraction method for enhancing speech corrupted by colored noise. Proc ICASSP 2002;4:4164.
21. Morgan DR, Thi JC. A delayless subband adaptive filter architecture. IEEE Trans Signal Process 1995;43:1819-1830.
22. Huo J, Nordholm, S. Zang, Z. New weight transform schemes for delayless subband adaptive filtering. Global Telecom Conf 2001;197-201.
23. Gabrea M. Double affine projection algorithm-based speech enhancement algorithm. Proc ICASSP 2003;1:I904-I907.
24. Widrow B, Stearns SD. Adaptive signal processing. Englewood Cliffs, NJ: Prentice-Hall; 1985. p 99-106.
25. Grbic N, Nordberg J, Nordholm S. Subband acoustic echo canceling using LMS and RLS. Research report, Department of Telecommunications and Signal Processing, University of Karlskrona/Ronneby. May 1999;5.
26. Loizou PC. Speech enhancement: theory and practice. Boca Raton, FL: CRC Press; 2007. p 45-66.
27. Harris CM. Handbook of noise control. New York: McGraw-Hill; 1979. p 1-35.
28. Hu Y, Loizou PC. Subjective comparison of speech enhancement algorithms. Proc ICASSP 2006;1.
29. Milani AA, Panahi IMS, Briggs R. Distortion analysis of subband adaptive filtering methods for fMRI active noise control systems. Proc IEEE EMBS 2007;3296-3299.