scholarly journals Comparison of voice relative fundamental frequency estimates derived from an accelerometer signal and low-pass filtered and unprocessed microphone signals

2014 ◽  
Vol 135 (5) ◽  
pp. 2977-2985 ◽  
Author(s):  
Yu-An S. Lien ◽  
Cara E. Stepp
Keyword(s):  
Fundamental Frequency ◽  
Accelerometer Signal ◽  
Low Pass ◽  
Relative Fundamental Frequency

Pitch related to spectral edges of broadband signals

1992 ◽  
Vol 336 (1278) ◽  
pp. 375-382 ◽  
Keyword(s):  
Fundamental Frequency ◽  
Basilar Membrane ◽  
Comparison Tone ◽  
Harmonic Signals ◽  
Wide Range ◽  
Spectral Components ◽  
Neuronal Processes ◽  
Low Pass ◽  
Harmonic Components ◽  
Hearing System

A complex tone often evokes a pitch sensation associated with its extreme spectral components, besides the holistic pitch associated with its fundamental frequency. We studied the edge pitch created at the upper spectral edge of complexes with a low-pass spectrum by asking subjects to adjust the frequency of a sinusoidal comparison tone to the perceived pitch. Measurements were performed for different values of the fundamental frequency and of the upper frequency of the complex as well as for three different phase relations of the harmonic components. For a wide range of these parameters the subjects could adjust the comparison tone with a high accuracy, measured as the standard deviation of repeated adjustments, to a frequency close to the nominal edge frequency. The detailed dependence of the matching accuracy on temporal parameters of the harmonic complexes suggests that the perception of the edge pitch in harmonic signals is related to the temporal resolution of the hearing system. This resolution depends primarily on the time constants of basilar-membrane filters and on additional limitations due to neuronal processes.

Vocal fold kinematics and relative fundamental frequency as a function of obstruent type and speaker age

2021 ◽  
Vol 149 (4) ◽  
pp. 2189-2199
Author(s):  
Yeonggwang Park ◽  
Feng Wang ◽  
Manuel Díaz-Cádiz ◽  
Jennifer M. Vojtech ◽  
Matti D. Groll ◽  
...  
Keyword(s):  
Fundamental Frequency ◽  
Vocal Fold ◽  
Relative Fundamental Frequency

scholarly journals Real-Time Filter Method Based on the Structural Frequency of FAST Cabin-Cable System

2014 ◽  
Vol 6 ◽  
pp. 129302
Author(s):  
Wenhua Xu ◽  
Hong Bao ◽  
Jianwei Mi ◽  
Guigeng Yang
Keyword(s):  
Real Time ◽  
Fundamental Frequency ◽  
Variable Structure ◽  
Measured Data ◽  
Filter Method ◽  
Great Flexibility ◽  
Cable System ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass

Due to great flexibility, low damping, and variable structure in the cabin-cable system of five hundred meter Aperture Spherical Radio Telescope (FAST), a real-time digital low-pass filter based on the analysis of frequency is presented in this paper. Firstly, by the Lomb-Scargle theorem, it can obtain the fundamental frequency of cabin-cable system. Then, using the obtained frequency, a digital low-pass filter is designed to filter the measured data. After being filtered, the measured data are used for coarse control. Finally, the results of the experiments on the FAST 5 m model show that calculating the fundamental frequency is accurate and the filter is effective.

scholarly journals Relative Fundamental Frequency in Children With and Without Vocal Fold Nodules

2020 ◽  
Vol 63 (2) ◽  
pp. 361-371
Author(s):  
Elizabeth S. Heller Murray ◽  
Roxanne K. Segina ◽  
Geralyn Harvey Woodnorth ◽  
Cara E. Stepp
Keyword(s):  
Fundamental Frequency ◽  
Vocal Fold ◽  
Motor System ◽  
Older Children ◽  
Functional Differences ◽  
Subject Variability ◽  
Relative Fundamental Frequency ◽  
Acoustic Measure ◽  
Vocal Fold Nodules ◽  
Within Subject Variability

Purpose Relative fundamental frequency (RFF) is an acoustic measure that is sensitive to functional voice differences in adults. The aim of the current study was to evaluate RFF in children, as there are known structural and functional differences between the pediatric and adult vocal mechanisms. Method RFF was analyzed in 28 children with vocal fold nodules (CwVN, M = 9.0 years) and 28 children with typical voices (CwTV, M = 8.9 years). RFF is the instantaneous fundamental frequency ( f 0 ) of the 10 vocalic cycles during devoicing (vocal offset) and 10 vocalic cycles during the revoicing (vocal onset) of the vowels that surround a voiceless consonant. Each cycle's f 0 was normalized to a steady-state portion of the vowel. RFF values for the cycles closest to the voiceless consonant, that is, Offset Cycle 10 and Onset Cycle 1, were examined. Results Average RFF values for Offset Cycle 10 and Onset Cycle 1 did not differ between CwVN and CwTV; however, within-subject variability of Offset Cycle 10 was decreased in CwVN. Across both groups, male children had lower Offset Cycle 10 RFF values as compared to female children. Additionally, Onset Cycle 1 values were decreased in younger children as compared to those of older children. Conclusions Unlike previous work with adults, CwVN did not have significantly different RFF values than CwTV. Younger children had lower RFF values for Onset Cycle 1 than older children, suggesting that vocal onset f 0 may provide information on the maturity of the laryngeal motor system.

scholarly journals Comparability of accelerometer signal aggregation metrics across placements and dominant wrist cut points for the assessment of physical activity in adults

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jairo H. Migueles ◽  
Cristina Cadenas-Sanchez ◽  
Alex V. Rowlands ◽  
Pontus Henriksson ◽  
Eric J. Shiroma ◽  
...  
Keyword(s):  
Sedentary Time ◽  
Mean Amplitude ◽  
Epidemiological Studies ◽  
Concordance Correlation Coefficient ◽  
Concordance Correlation ◽  
Cut Points ◽  
Accelerometer Signal ◽  
Sleep Assessment ◽  
Low Pass ◽  
Coefficient Optimization

AbstractLarge epidemiological studies that use accelerometers for physical behavior and sleep assessment differ in the location of the accelerometer attachment and the signal aggregation metric chosen. This study aimed to assess the comparability of acceleration metrics between commonly-used body-attachment locations for 24 hours, waking and sleeping hours, and to test comparability of PA cut points between dominant and non-dominant wrist. Forty-five young adults (23 women, 18–41 years) were included and GT3X + accelerometers (ActiGraph, Pensacola, FL, USA) were placed on their right hip, dominant, and non-dominant wrist for 7 days. We derived Euclidean Norm Minus One g (ENMO), Low-pass filtered ENMO (LFENMO), Mean Amplitude Deviation (MAD) and ActiGraph activity counts over 5-second epochs from the raw accelerations. Metric values were compared using a correlation analysis, and by plotting the differences by time of the day. Cut points for the dominant wrist were derived using Lin’s concordance correlation coefficient optimization in a grid of possible thresholds, using the non-dominant wrist estimates as reference. They were cross-validated in a separate sample (N = 36, 10 women, 22–30 years). Shared variances between pairs of acceleration metrics varied across sites and metric pairs (range in r2: 0.19–0.97, all p < 0.01), suggesting that some sites and metrics are associated, and others are not. We observed higher metric values in dominant vs. non-dominant wrist, thus, we developed cut points for dominant wrist based on ENMO to classify sedentary time (<50 mg), light PA (50–110 mg), moderate PA (110–440 mg) and vigorous PA (≥440 mg). Our findings suggest differences between dominant and non-dominant wrist, and we proposed new cut points to attenuate these differences. ENMO and LFENMO were the most similar metrics, and they showed good comparability with MAD. However, counts were not comparable with ENMO, LFENMO and MAD.

scholarly journals Automated Relative Fundamental Frequency Algorithms for Use With Neck-Surface Accelerometer Signals

2020 ◽  
Author(s):  
Matti D. Groll ◽  
Jennifer M. Vojtech ◽  
Surbhi Hablani ◽  
Daryush D. Mehta ◽  
Daniel P. Buckley ◽  
...  
Keyword(s):  
Fundamental Frequency ◽  
Relative Fundamental Frequency
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