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Voice analysis

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192:(EGG). In inverse filtering, the speech sound (the radiated acoustic pressure waveform, as obtained from a microphone) or the oral airflow waveform from a circumferentially vented (CV) mask is recorded outside the mouth and then filtered by a mathematical method to remove the effects of the vocal tract. This method estimates the glottal input of voice production by recording output and using a computational model to invert the effects of the vocal tract. The other kind of noninvasive indirect indication of vocal fold motion is the electroglottography, in which electrodes placed on either side of the subject's throat at the level of the vocal folds record the changes in the conductivity of the throat according to how large a portion of the vocal folds are touching each other. It thus yields one-dimensional information of the contact area. Neither inverse filtering nor EGG are sufficient to completely describe the complex 3-dimensional pattern of vocal fold movement, but can provide useful indirect evidence of that movement. 336:. This is when the identity of a speaker is unknown, and has to be identify from an array of other voices or suspects when pertaining to a crime investigation or court trial.  Proper identification of speaker and voices particularly for criminal cases depend on a list of factors, like familiarity, exposure, delay, tone of voice, voice disguising, and accents. Familiarity with a speaker increases the chances of properly identifying a voice, and distinguishing it. The amount of exposure to a voice also aids in correctly identifying a voice, even if it is an unfamiliar one. A hearer that listen to a longer utterance or was exposed to a voice more often is better at recognizing a voice, than someone who perhaps was only able to hear one word. A delay between the time of hearing a voice and the time of identifying the speaker also decreases the prospect of identifying the correct speaker. The 207:, and rate. These characteristics can be used to evaluate a person's voice and can aid in the voice analysis process. Phonation is typically tested by looking at different types of data collected from a person such as words with long vowels, words with many phonemes, or just typical speech. A person's pitch can be evaluated by making the person produce the highest and lowest sounds they can, as well as sounds in between. A keyboard can be used to aid in this process. Loudness is valuable to look at because for certain people, loudness affects the way they produce certain sounds. Some people need to speak louder for certain phonemes in comparison to others just so they can produce them. This can be tested by asking the person to use the same amount of loudness while singing a scale. Rate is also important because it looks at how fast or slow a person speaks. 320:
environmental factors such as wind or movement. Other times the sound degradation is due to technological issues within the recording device. Any investigative work on speaker identification cannot be done until the recording is of proper quality. Different solutions for poor comprehensibility are done using computer programs that allow the user to filter and eliminate noise. Computer software is also able to convert the speech to spectra and waveforms, which is useful for the forensic phonetician. However, any work done on the recording should be done after a copy of the original recording is made.
254:. Medical professionals have the ability to read and understand the results from the complex recordings, but knowledge from a voice professional is needed within these experiments for accurate results. Voice experts were an important to tie the physical examination of the vocal cords to the neurological examination to ensure the success of the surgery because of their trained ear. Perceptual evaluation of voice is heavily reliant on 181:, and high-speed videos provide an option, but to see the vocal folds a fiberoptic probe leading to the camera must be positioned in the throat, which makes speaking difficult. In addition, placing objects in the pharynx usually triggers a gag reflex that stops voicing and closes the larynx. In addition, stroboscopic imaging is only useful when the vocal fold vibratory pattern is closely periodic. 324:
surrounding the audio evidence, providing an explanation of relevant acoustical and physical principles to explain what is evidenced by the recording. Reports are made to include detailed information, if there is a section of the recording that is not comprehensible or is inaudible, an explanation of what was happening (in the recording), and a description of what is missing from the recording.
25: 293:". Critical listening involves a thorough breakdown of both foreground and background sounds through repetitive listening. Waveform analysis visualizes the audio for the examiner to see any irregularities that may occur. Spectral analysis visualizes the frequency of the audio for an examiner to pick out features of interest. 278:. These analyses are generally performed on evidence for the purposes of evaluating the authenticity of the audio in question, enhancing features of the audio that may be hidden beneath distracting background noise, interpreting the audio from the perspective of a forensic expert, or in some cases for the purposes of 161:
laryngeal musculature is intensely active during speech or singing and is subject to tiring. However, dynamic analysis of the vocal folds and their movement is physically difficult. The location of the vocal folds effectively prohibits direct, invasive measurement of movement. Less invasive imaging methods such as
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To utilize audio recordings in court, a forensic phonetician must authenticate the recording to detect tampering, enhance the audio, and interpret the speech. Their first job is to ensure that the speech in the recording being used is comprehensible. Oftentimes, samples have poor sound quality due to
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of the voice. Speaker identification is additionally complicated by distortions from the technical method of recording and speaker based issues, such as emotional states or alternative motives causing a discrepancy between their voice and that of a recording. The methods of speaker identification in
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A main part of the forensic phonetician's job is speaker identification. The interpretation process might include piecing together a timeline, transcribing the dialog, and identifying unknown or unintelligible sounds in the audio recording. In court, the expert ultimately serves to explain the facts
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evaluation. The vocal cords of a person who speaks for an extended time suffer from tiring—that is, the process of speaking exerts a load on the vocal cords and tires the tissue. Among professional voice users (e.g., teachers, sales people) this tiring can cause voice failures and sick leaves. Voice
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affects the ability to identify the right speaker. If the tone does not match that of the speaker at the time of comparison, it will prove to be more difficult to analyse. Disguise of the voice, for example when a speaker is whispering, will also hinder the ability to accurately match and identify
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Voice problems that require voice analysis most commonly originate from the vocal folds or the laryngeal musculature that controls them, since the folds are subject to collision forces with each vibratory cycle and to drying from the air being forced through the small gap between them, and the
242:(medialization thyroplasty) improvements on the vocal cords after the surgery. Traditional voice recording is used in pre-operation to record the voices of chosen patients to be compared with the post-operation usage, along with more complex recordings using an 346:
forensics include the use of earwitnesses who are used to identify voices they have heard, the aural-perceptual approach conducted by a specialist regarding the suprasegmentals of an individual's speech, and computer-based approaches.
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through an operation. Computerized methods can be used to assess such issues in an objective manner. An experienced voice therapist can quite reliably evaluate the voice, but this requires extensive training and is still subjective.
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Voice analysis was an important factor in the study of vocal cord paralysis. It effects different functions of the vocal cords, from speech to breathing and voice analysis is used to study the effectiveness of
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Experts in forensic voice analyze recordings by examining transmitted and stored speech, enhancing it and decoding it for criminal investigations, court trials, and federal agencies.
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the speaker. In some cases, individuals who speak the same language as the speaker whose voice is being analysed will have an easier time identifying them because of the
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Stemple, Joseph C.; Stanley, Jennifer; Lee, Linda (1995). "Objective measures of voice production in normal subjects following prolonged voice use".
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Sarangi, Susanta; Sahidullah, Md; Saha, Goutam (September 2020). "Optimization of data-driven filterbank for automatic speaker verification".
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do not work because the vocal cords are surrounded by cartilage, which distorts image quality. Movements in the vocal cords are rapid,
108: 42: 262:). A professional voice analyzer has a trained ear and can block out excess variants that can be deceptive from the results. 89: 46: 259: 61: 68: 285:
An expert will employ a variety of techniques in their analysis. The minimum of procedures are "critical listening,
587:"Pre and Post Operative Voice Analysis After Medialization Thyroplasty in Cases of Unilateral Vocal Fold Paralysis" 145: 747: 361: 297: 75: 195:
Another way to conduct voice analysis is to look at voice characteristics. Some characteristics of voice are
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Chowdhury, Kanishka; Saha, Somnath; Saha, Vedula Padmini; Pal, Sudipta; Chatterjee, Indranil (2013-03-23).
300:, where a recording of a call made to the police was analyzed to determine if background screams came from 57: 732: 279: 141: 170: 149: 757: 549: 342: 125: 217:
A medical study of the voice can be, for instance, analysis of the voice of patients who have had a
752: 333: 423: 405: 337: 189: 129: 713: 708:. Modern Acoustics and Signal Processing. Cham: Springer International Publishing. pp. 48–49. 680: 650: 624: 606: 530: 522: 487: 479: 366: 290: 247: 676: 709: 672: 646: 645:. Modern Acoustics and Signal Processing. Cham: Springer International Publishing. pp. 1–2. 614: 598: 561: 514: 469: 415: 376: 301: 271: 218: 82: 457: 275: 251: 619: 586: 305: 185: 565: 548:
Gerratt, Bruce R.; Hanson, David G.; Berke, Gerald S.; Precoda, Kristin (1991-01-01).
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analysis has been studied as an objective means to evaluate such problems.
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Voice Problems and Vocal Disorder Online Community (VoiceMatters.net)
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sounds for purposes other than linguistic content, such as in
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Indian Journal of Otolaryngology and Head & Neck Surgery
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Another active research topic in medical voice analysis is
132:. Such studies include mostly medical analysis of the 258:, a factor assessed preferably by voice specialists ( 296:
One case in which audio played a larger role is the
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of either microphone or oral airflow recordings and
49:. Unsourced material may be challenged and removed. 184:The most important indirect methods are currently 667:Solan, Lawrence M.; Tiersma, Peter M. (2004). 8: 177:, thus preventing usage of ordinary video. 618: 473: 409: 109:Learn how and when to remove this message 550:"Photoglottography: A clinical synopsis" 388: 677:10.7208/chicago/9780226767871.001.0001 441:Hapner, Edie; Stemple, Joseph (2014). 270:Voice analysis is used in a branch of 706:Principles of Forensic Audio Analysis 643:Principles of Forensic Audio Analysis 7: 700: 698: 696: 462:Kathmandu University Medical Journal 443:Voice Therapy: Clinical Case Studies 47:adding citations to reliable sources 14: 456:Toran, SiKC; Lal, B. K. (2010). 23: 671:. University of Chicago Press. 173:are usually between 80 and 300 34:needs additional citations for 16:Component of speech recognition 1: 566:10.1016/S0892-1997(05)80173-0 519:10.1016/s0892-1997(05)80245-0 332:Voice analysis has a role in 712::10.1007/978-3-319-99453-6. 649::10.1007/978-3-319-99453-6. 152:or layered voice analysis. 146:emotional state of speakers 774: 704:Maher, Robert C. (2018). 641:Maher, Robert C. (2018). 603:10.1007/s12070-013-0649-3 420:10.1016/j.dsp.2020.102795 398:Digital Signal Processing 362:Digital signal processing 148:can be determined using 357:Audio signal processing 171:fundamental frequencies 475:10.3126/kumj.v8i2.3555 334:speaker identification 328:Speaker Identification 280:speaker identification 142:speaker identification 150:voice stress analysis 445:. Plural Publishing. 43:improve this article 298:Trayvon Martin case 221:removed from their 190:electroglottography 244:electroglottograpy 130:speech recognition 718:978-3-319-99452-9 686:978-0-226-76793-2 669:Speaking of Crime 655:978-3-319-99452-9 367:Speech processing 343:accent and stress 291:spectral analysis 260:speech therapists 248:photoglottography 186:inverse filtering 119: 118: 111: 93: 765: 748:Voice technology 721: 702: 691: 690: 664: 658: 639: 633: 632: 622: 582: 576: 575: 573: 572: 554:Journal of Voice 545: 539: 538: 507:Journal of Voice 502: 496: 495: 477: 453: 447: 446: 438: 432: 431: 413: 393: 377:Voice biometrics 302:George Zimmerman 272:forensic science 266:Use in forensics 156:Analysis methods 124:is the study of 114: 107: 103: 100: 94: 92: 58:"Voice analysis" 51: 27: 19: 773: 772: 768: 767: 766: 764: 763: 762: 738: 737: 729: 724: 703: 694: 687: 666: 665: 661: 640: 636: 584: 583: 579: 570: 568: 547: 546: 542: 504: 503: 499: 455: 454: 450: 440: 439: 435: 395: 394: 390: 386: 381: 352: 330: 314: 276:audio forensics 268: 252:videokymography 215: 213:Use in medicine 158: 115: 104: 98: 95: 52: 50: 40: 28: 17: 12: 11: 5: 771: 769: 761: 760: 755: 750: 740: 739: 736: 735: 728: 727:External links 725: 723: 722: 692: 685: 659: 634: 597:(4): 354–357. 577: 540: 513:(2): 127–133. 497: 468:(2): 185–189. 448: 433: 387: 385: 382: 380: 379: 374: 369: 364: 359: 353: 351: 348: 329: 326: 313: 312:Forensic Voice 310: 289:analysis, and 267: 264: 214: 211: 157: 154: 122:Voice analysis 117: 116: 31: 29: 22: 15: 13: 10: 9: 6: 4: 3: 2: 770: 759: 756: 754: 751: 749: 746: 745: 743: 734: 731: 730: 726: 719: 715: 711: 707: 701: 699: 697: 693: 688: 682: 678: 674: 670: 663: 660: 656: 652: 648: 644: 638: 635: 630: 626: 621: 616: 612: 608: 604: 600: 596: 592: 588: 581: 578: 567: 563: 560:(2): 98–105. 559: 555: 551: 544: 541: 536: 532: 528: 524: 520: 516: 512: 508: 501: 498: 493: 489: 485: 481: 476: 471: 467: 463: 459: 452: 449: 444: 437: 434: 429: 425: 421: 417: 412: 407: 403: 399: 392: 389: 383: 378: 375: 373: 370: 368: 365: 363: 360: 358: 355: 354: 349: 347: 344: 339: 338:tone of voice 335: 327: 325: 321: 317: 311: 309: 307: 303: 299: 294: 292: 288: 283: 281: 277: 273: 265: 263: 261: 257: 256:voice quality 253: 249: 245: 241: 235: 232: 231:vocal loading 227: 224: 220: 212: 210: 208: 206: 202: 198: 193: 191: 187: 182: 180: 176: 172: 168: 164: 155: 153: 151: 147: 143: 139: 135: 131: 127: 123: 113: 110: 102: 99:February 2011 91: 88: 84: 81: 77: 74: 70: 67: 63: 60: –  59: 55: 54:Find sources: 48: 44: 38: 37: 32:This article 30: 26: 21: 20: 705: 668: 662: 642: 637: 594: 590: 580: 569:. 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Index


verification
improve this article
adding citations to reliable sources
"Voice analysis"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message
speech
speech recognition
voice
phoniatrics
speaker identification
emotional state of speakers
voice stress analysis
x-rays
ultrasounds
fundamental frequencies
Hz
Stroboscopic
inverse filtering
electroglottography
phonation
pitch
loudness
polyp
vocal cords

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