2003
DOI: 10.1016/s0892-1997(03)00031-6
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The Effect of Noise on Computer-Aided Measures of Voice: A Comparison of CSpeechSP and the Multi-Dimensional Voice Program Software Using the CSL 4300B Module and Multi-Speech for Windows

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Cited by 53 publications
(41 citation statements)
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“…Such measure is the result of the iteraction among vocal fold length, mass and tension during speech. Among acoustic parameters, fundamental frequency has proven to be the most uniform of them when we consider different acoustic analysis systems, and the one less sensitive to voice recording characteristics [7][8][9] . Frequency and cycle-to-cycle amplitude variation measures, jitter and shimmer, respectively, in the production of sustained vowels have proved to be useful in the description of normal and dysphonic speakers' vocal characteristics, being respectively related to hoarseness and roughness 6,[10][11][12][13] .…”
Section: Introductionmentioning
confidence: 99%
“…Such measure is the result of the iteraction among vocal fold length, mass and tension during speech. Among acoustic parameters, fundamental frequency has proven to be the most uniform of them when we consider different acoustic analysis systems, and the one less sensitive to voice recording characteristics [7][8][9] . Frequency and cycle-to-cycle amplitude variation measures, jitter and shimmer, respectively, in the production of sustained vowels have proved to be useful in the description of normal and dysphonic speakers' vocal characteristics, being respectively related to hoarseness and roughness 6,[10][11][12][13] .…”
Section: Introductionmentioning
confidence: 99%
“…noise (Carson et al, 2003;Deliyski, Shaw, & Evans, 2005a;Deliyski et al, 2005b;Hillenbrand, 1987), data acquisition environments (Deliyski, Evans, & Shaw, 2005;Scherer, Vail, & Guo, 1995;Smits, Ceuppens, & De Bodt, 2005), sampling rates (Deliyski et al, 2005b;Parsa, Jamieson, & Pretty, 2001), the microphone selection Titze & Winholtz, 1993;Winholtz & Titze, 1997), the recording hardware used (Mundt et al, 2007), population characteristics (Lei, Yang, Shen, & Gong, 2000;Mueller, 1997;Scherer et al, 1995;Xue & Fucci, 2000), and the appropriateness of stimuli employed , almost every aspect of voice acoustics has been investigated in an effort to determine the minimum requirements for accurate and repeatable recording and analytical configurations. This body of work has yielded a broad set of criteria for acoustic analysis.…”
mentioning
confidence: 99%
“…Car son et al 1 in ves ti ga ted the ef fect of no i se on per tur ba ti on pa ra me ters using thre e dif fe rent soft wa re/hard wa re com bi na ti ons, na mely MDVP for CSL 4300B, MDVP for Mul ti-Spe ech and CSpeechSP. They mi xed the col lec ted vo i ce samp les with com pu ter fan no i se to cre a te fo ur dif fe rent sig nal-to-no i se (S/N) le vels (50 dB-un mi xed, 25 dB, 20 dB and 15 dB).…”
Section: Discussionmentioning
confidence: 99%
“…qu ency (F0) ex trac ti on met hods, (5) al go rithms for de ter mi ning vo i ce sta tis tics, (6) en vi ron men tal noi se, (7) and in ter nal com pu ter no i se. 1 In this study, we we re con cer ned with the ef fects of no i se (re sulting both from en vi ron ment and da ta ac qu i si ti on system) on per tur ba ti on es ti ma tes from thre e dif ferent prog rams, and be ha vi ors of them in the event of dif fe rent no i se si tu a ti ons.…”
mentioning
confidence: 99%
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