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Binaural unmasking

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replaced with neurons that are excited by action potentials from one ear, but inhibited by action potentials from the other. However, EC theory is not generally framed in such explicit neurological terms, and no suitable neural substrate has been identified in the brain. Nonetheless, EC theory has proved a very popular modelling framework, and has fared well in direct comparison with cross-correlation models in psychoacoustic experiments
42:(dB) at 250 Hz and progressively declines to 2-3 dB at 1500 Hz. The BMLD then stabilises at 2-3 dB for all higher frequencies, up to at least 4 kHz. Binaural unmasking can also be observed for narrowband masking noises, but the effect behaves differently: larger BMLDs can be observed and there is little evidence of a decline with increasing frequency. 196:, which would allow the listener to gain an intelligibility improvement by simply listening to that ear. However, the interaural time differences can only be exploited by comparing the waveforms at the two ears. Successful models of spatial release from masking tend to use equalization-cancellaton theory to generate the effects of interaural time differences. 159:
occurs in which the resultant amplitude and phase differ from those of the noise or signal alone. For a binaural unmasking stimulus, the differences between the interaural parameters of the signal and noise mean that there will be a different vector summation at each ear. Consequently, regardless of
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A systematic labelling system for different stimulus configurations, first used by Jeffress, has been adopted by most authors in the area. The condition names are written NxSy, where x is interaural configuration of the noise and y is the interaural configuration of the signal. Some common values for
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from the two ears via a network of axons that introduce differential transmission delays. Detection of a signal is thought to occur when the response rate of the most active coincidence detector is reduced by the presence of a signal. Cross-correlation of the signals at the two ears is often used as
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compared to a reference situation in which the interaural phases are the same, or when the stimulus has been presented monaurally. Those two cases usually give very similar thresholds. The size of the improvement is known as the "binaural masking level difference" (BMLD), or simply as the "masking
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The subtractive account is known as "equalization-cancellation" or "EC" theory. In this account, the waveforms at the two ears (or their internal representations) are temporally aligned (equalized) by the brain, before being subtracted one from the other. In effect, the coincidence detectors are
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The ear filters incoming sound into different frequencies: a given place in the cochlea, and a given auditory nerve fibre, respond only to a limited range of frequencies. Consequently, researchers have examined the cues that are generated by mixtures of speech and noise at the two ears within a
61:, which varies with the direction of a sound source and is involved in sound localisation. The fact that speech can be unmasked and the underlying cues vary with sound direction raised the possibility that binaural unmasking plays a role in the 179:
In everyday life, speech is more easily understood in noise when speech and noise come from different directions, a phenomenon known as "spatial release from masking". In this situation, the speech and noise have distinct
30:. The phenomenon is most commonly observed when there is a difference between the interaural phase of the signal and the interaural phase of the noise. When such a difference is present there is an improvement in 167:
Experiments have examined which of these cues the auditory system can best detect. These have shown that, at low frequencies (specifically 500 Hz), the auditory system is most sensitive to the
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and interaural level differences. The time differences are produced by the differences in the length of the sound path to the two ears and the level differences are caused by the
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mathematical surrogate for modelling such an array of coincidence detecting neurons; the reduced response rate is translated into a reduction in the cross-correlation maximum.
192:, and have both been shown to have independent effects in spatial release from masking. The interaural level differences can give rise to one ear or the other having a better 471: 697:
Beutelmann R, Brand T (2006). "Prediction of speech intelligibility in spatial noise and reverberation for normal-hearing and hearing-impaired listeners".
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Binaural unmasking is most effective at low frequencies. The BMLD for pure tones in broadband noise reaches a maximum value of about 15
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The cross-correlation account relies on the existence of a coincidence detection network in the midbrain similar to that proposed by
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Binaural unmasking has two main explanatory frameworks. These are based on interaural cross-correlation and interaural subtraction.
26:. In binaural unmasking, the brain combines information from the two ears in order to improve signal detection and identification in 559:"Interaural correlation fails to account for detection in a classic binaural task: Dynamic ITDs dominate N0SĪ€ detection" 107:Ī means that the noise has an interaural correlation of less than one, the exact correlation being specified elsewhere. 399:
Colburn HS (1977). "Theory of binaural interaction based on auditory-nerve data. II. Detection of tones in noise".
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Culling JF (2007). "Evidence specifically favoring the equalization-cancellation theory of binaural unmasking".
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Licklider JC (1948). "The influence of interaural phase relations upon the masking of speech by white noise".
193: 171:. At higher frequencies, however, there seems to be a transition to using interaural level differences. 62: 57:. Licklider noted that a difference in interaural phase that was being used in unmasking is similar to 706: 658:"The effect of head-induced interaural time and level differences on speech intelligibility in noise" 622: 515: 408: 373: 335: 292: 283:
McFadden D, Pasanen EG (1978). "Binaural detection at high frequencies with time-delayed waveforms".
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Durlach NI (1963). "Equalization and cancellation theory of binaural masking-level differences".
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Hirsh IJ (1948). "The influence of interaural phase on interaural summation and inhibition".
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narrow frequency band around the signal. When a signal and narrowband noise are added, a
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Jeffress LA, Blodgett HC, Sandel TT, Wood CL (1956). "Masking of Tonal Signals".
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the level and phase differences of the stimuli at the listener's ears.
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u means that the signal or noise is uncorrelated across the two ears.
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means that the signal or noise has an interaural phase difference of
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Hirsh IJ, Burgeat M (1958). "Binaural Effects in Remote Masking".
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Jeffress, L.A. (1948). "A Place Theory of Sound Localization".
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0 means that the signal or noise is identical at the two ears
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the stimulus construction, there tend to be fluctuations in
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effect of the head. These two cues play a major role in
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Journal of Comparative and Physiological Psychology
22:is phenomenon of auditory perception discovered by 137:. Each coincidence detector receives a stream of 100:, where the exact value of the time difference, 113:m means that the signal or noise is monaural. 8: 359: 357: 673: 608:"Subcomponent cues in binaural unmasking" 582: 205: 96:means that the signal or noise has an 7: 557:Van Der Heijden M, Joris PX (2010). 14: 656:Bronkhorst AW, Plomp, R (1988). 129:to account for sensitivity to 16:Auditory perception phenomenon 1: 182:interaural time differences 169:interaural time differences 131:interaural time differences 45:Improved identification of 763: 98:interaural time difference 59:interaural time difference 575:10.1007/s10162-009-0185-8 104:, is specified elsewhere. 563:J Assoc Res Otolaryngol 175:Practical implications 53:was first reported by 194:signal-to-noise ratio 63:cocktail party effect 711:2006ASAJ..120..331B 627:2011ASAJ..129.3846C 606:Culling JF (2011). 520:2007ASAJ..122.2803C 413:1977ASAJ...61..525C 378:1956ASAJ...28..416J 340:1948ASAJ...20..150L 297:1978ASAJ...63.1120M 262:1958ASAJ...30..827H 227:1948ASAJ...20..536H 35:level difference". 444:J. Acoust. Soc. Am 401:J. Acoust. Soc. Am 366:J. Acoust. Soc. Am 328:J. Acoust. Soc. Am 285:J. Acoust. Soc. Am 250:J. Acoust. Soc. Am 215:J. Acoust. Soc. Am 190:sound localisation 186:acoustic shadowing 135:sound localization 20:Binaural unmasking 719:10.1121/1.2202888 635:10.1121/1.3560944 528:10.1121/1.2785035 456:10.1121/1.1918675 386:10.1121/1.1908346 348:10.1121/1.1906358 270:10.1121/1.1909781 235:10.1121/1.1906407 139:action potentials 127:Lloyd A. Jeffress 74:x and y include: 32:masking threshold 754: 731: 730: 694: 688: 687: 677: 675:10.1121/1.395906 653: 647: 646: 621:(6): 3846–3855. 612: 603: 597: 596: 586: 554: 548: 547: 514:(5): 2803–2813. 503: 497: 496: 485:10.1037/h0061495 466: 460: 459: 439: 433: 432: 421:10.1121/1.381294 396: 390: 389: 361: 352: 351: 323: 317: 316: 305:10.1121/1.381820 291:(4): 1120–1131. 280: 274: 273: 245: 239: 238: 210: 157:vector summation 103: 95: 87: 83: 69:Labelling system 55:J.C.R. Licklider 762: 761: 757: 756: 755: 753: 752: 751: 747:Psychoacoustics 737: 736: 735: 734: 699:J Acoust Soc Am 696: 695: 691: 662:J Acoust Soc Am 655: 654: 650: 615:J Acoust Soc Am 610: 605: 604: 600: 556: 555: 551: 508:J Acoust Soc Am 505: 504: 500: 468: 467: 463: 441: 440: 436: 398: 397: 393: 363: 362: 355: 325: 324: 320: 282: 281: 277: 247: 246: 242: 212: 211: 207: 202: 177: 152: 150:Perceptual cues 120: 101: 93: 85: 81: 71: 17: 12: 11: 5: 760: 758: 750: 749: 739: 738: 733: 732: 705:(1): 331–342. 689: 648: 598: 569:(1): 113–131. 549: 498: 461: 450:(8): 416–426. 434: 407:(2): 525–533. 391: 372:(3): 416–426. 353: 334:(2): 150–159. 318: 275: 256:(9): 827–832. 240: 221:(4): 536–544. 204: 203: 201: 198: 176: 173: 151: 148: 119: 116: 115: 114: 111: 108: 105: 91: 79: 70: 67: 15: 13: 10: 9: 6: 4: 3: 2: 759: 748: 745: 744: 742: 728: 724: 720: 716: 712: 708: 704: 700: 693: 690: 685: 681: 676: 671: 668:: 1508–1516. 667: 663: 659: 652: 649: 644: 640: 636: 632: 628: 624: 620: 616: 609: 602: 599: 594: 590: 585: 580: 576: 572: 568: 564: 560: 553: 550: 545: 541: 537: 533: 529: 525: 521: 517: 513: 509: 502: 499: 494: 490: 486: 482: 478: 474: 473: 465: 462: 457: 453: 449: 445: 438: 435: 430: 426: 422: 418: 414: 410: 406: 402: 395: 392: 387: 383: 379: 375: 371: 367: 360: 358: 354: 349: 345: 341: 337: 333: 329: 322: 319: 314: 310: 306: 302: 298: 294: 290: 286: 279: 276: 271: 267: 263: 259: 255: 251: 244: 241: 236: 232: 228: 224: 220: 216: 209: 206: 199: 197: 195: 191: 187: 183: 174: 172: 170: 165: 163: 158: 149: 147: 143: 140: 136: 132: 128: 123: 117: 112: 109: 106: 99: 92: 90: 80: 77: 76: 75: 68: 66: 64: 60: 56: 52: 48: 43: 41: 36: 33: 29: 25: 21: 702: 698: 692: 665: 661: 651: 618: 614: 601: 566: 562: 552: 511: 507: 501: 476: 470: 464: 447: 443: 437: 404: 400: 394: 369: 365: 331: 327: 321: 288: 284: 278: 253: 249: 243: 218: 214: 208: 178: 166: 161: 153: 144: 124: 121: 72: 44: 37: 19: 18: 479:(1): 35–9. 200:References 24:Ira Hirsh 741:Category 727:16875230 643:21682408 593:19760461 544:24476950 536:18189570 493:18904764 118:Theories 40:decibels 707:Bibcode 684:3372866 623:Bibcode 584:2820206 516:Bibcode 409:Bibcode 374:Bibcode 336:Bibcode 293:Bibcode 258:Bibcode 223:Bibcode 89:radians 725:  682:  641:  591:  581:  542:  534:  491:  429:845314 427:  313:649871 311:  47:speech 611:(PDF) 540:S2CID 51:noise 28:noise 723:PMID 680:PMID 639:PMID 589:PMID 532:PMID 489:PMID 425:PMID 309:PMID 162:both 715:doi 703:120 670:doi 631:doi 619:129 579:PMC 571:doi 524:doi 512:122 481:doi 452:doi 417:doi 382:doi 344:doi 301:doi 266:doi 231:doi 133:in 49:in 743:: 721:. 713:. 701:. 678:. 666:83 664:. 660:. 637:. 629:. 617:. 613:. 587:. 577:. 567:11 565:. 561:. 538:. 530:. 522:. 510:. 487:. 477:41 475:. 448:35 446:. 423:. 415:. 405:61 403:. 380:. 370:28 368:. 356:^ 342:. 332:20 330:. 307:. 299:. 289:34 287:. 264:. 254:30 252:. 229:. 219:20 217:. 65:. 729:. 717:: 709:: 686:. 672:: 645:. 633:: 625:: 595:. 573:: 546:. 526:: 518:: 495:. 483:: 458:. 454:: 431:. 419:: 411:: 388:. 384:: 376:: 350:. 346:: 338:: 315:. 303:: 295:: 272:. 268:: 260:: 237:. 233:: 225:: 102:Ī„ 94:Ī„ 86:Ī€ 82:Ī€

Index

Ira Hirsh
noise
masking threshold
decibels
speech
noise
J.C.R. Licklider
interaural time difference
cocktail party effect
radians
interaural time difference
Lloyd A. Jeffress
interaural time differences
sound localization
action potentials
vector summation
interaural time differences
interaural time differences
acoustic shadowing
sound localisation
signal-to-noise ratio
Bibcode
1948ASAJ...20..536H
doi
10.1121/1.1906407
Bibcode
1958ASAJ...30..827H
doi
10.1121/1.1909781
Bibcode

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