2014
DOI: 10.1121/1.4870488
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Comparison of voice relative fundamental frequency estimates derived from an accelerometer signal and low-pass filtered and unprocessed microphone signals

Abstract: The relative fundamental frequency (RFF) surrounding the production of a voiceless consonant has previously been estimated using unprocessed and low-pass filtered microphone signals, but it can also be estimated using a neck-placed accelerometer signal that is less affected by vocal tract formants. Determining the effects of signal type on RFF will allow for comparisons across studies and aid in establishing a standard protocol with minimal within-speaker variability. Here RFF was estimated in 12 speakers with… Show more

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Cited by 14 publications
(12 citation statements)
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References 39 publications
(82 reference statements)
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“…This result may be in part due to the fact that most patients in this study exhibited mild-to-moderate dysphonia, and therefore practically all the perturbation measures were valid. The high correlations exhibited by timing-based measures of instantaneous f0 and jitter, as well as CPP, bode well for the derivation of recently popular measures of vocal hyperfunction and dysphonia—relative fundamental frequency [11] and the cepstral/spectral index of dysphonia [42]—solely from subglottal neck-surface acceleration. Based on the encouraging result with CPP, future work calls for further investigation into vocal function assessment during continuous speech segments and on a larger sample of subjects with severely dysphonic characteristics.…”
Section: Discussionmentioning
confidence: 91%
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“…This result may be in part due to the fact that most patients in this study exhibited mild-to-moderate dysphonia, and therefore practically all the perturbation measures were valid. The high correlations exhibited by timing-based measures of instantaneous f0 and jitter, as well as CPP, bode well for the derivation of recently popular measures of vocal hyperfunction and dysphonia—relative fundamental frequency [11] and the cepstral/spectral index of dysphonia [42]—solely from subglottal neck-surface acceleration. Based on the encouraging result with CPP, future work calls for further investigation into vocal function assessment during continuous speech segments and on a larger sample of subjects with severely dysphonic characteristics.…”
Section: Discussionmentioning
confidence: 91%
“…In terms of voice source characterization, anterior neck-surface acceleration at the tracheal level has been studied in speakers with both normal and disordered voices to derive features related to average fundamental frequency (f0) [9], [10], instantaneous f0 [11], sound pressure level [12], voice activity detection [13], and glottal airflow features [14]. Robust estimation of vocal f0 has been the primary motivation for employing neck-placed ACCs, particularly in noisy environments [9], [10] and in breathy speech contexts when electroglottography fails to register a signal due to reduced vocal fold contact [15].…”
Section: Introductionmentioning
confidence: 99%
“…Across the nine acoustical measures, only data points from RFF offset cycle 10 and onset cycle 1 were missing from the data set (when less than two values were available for averaging). Missing RFF values may be due to instances of excessive glottalization or when there are fewer than ten vocal cycles in the vowel segment (Lien and Stepp, 2014). The missing data points accounted for 12% of the possible RFF values and were evenly distributed between offset and onset values, with 26 and 27 missing values, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…42,43 ). RFF has been shown to be calculated accurately from a neck placed accelerometer 44 and the use of ambulatory monitoring could provide a non-invasive method of documenting vocal loads from both groups of individuals, potentially providing further insight into the relationship between voice use and changes in onset cycle 1 RFF.…”
Section: Discussionmentioning
confidence: 99%