Comparative Visual Displays of Time and Frequency Domain Information in Connected Speech

1974 ◽  
Vol 55 (2) ◽  
pp. 412-412
Author(s):  
Janet M. Baker ◽  
Robert Ramsey ◽  
Mark Miller ◽  
James K. Baker ◽  
Christopher Cooper
Keyword(s):  
Frequency Domain ◽  
Visual Displays ◽  
Connected Speech ◽  
Domain Information

scholarly journals Modelling of Material Properties Using Frequency Domain Information from Barkhausen Noise Signal

2015 ◽  
Vol 48 (17) ◽  
pp. 201-206
Author(s):  
Riku-Pekka Nikula ◽  
Aki Sorsa ◽  
Suvi Santa-aho ◽  
Minnamari Vippola ◽  
Kauko Leiviskä
Keyword(s):  
Frequency Domain ◽  
Material Properties ◽  
Noise Signal ◽  
Barkhausen Noise ◽  
Domain Information

Acoustic Correlates of Breathy Vocal Quality: Dysphonic Voices and Continuous Speech

1996 ◽  
Vol 39 (2) ◽  
pp. 311-321 ◽  
Author(s):  
James Hillenbrand ◽  
Robert A. Houde
Keyword(s):  
Frequency Domain ◽  
Relative Amplitude ◽  
Harmonic Amplitude ◽  
Continuous Speech ◽  
Connected Speech ◽  
Acoustic Measures ◽  
Acoustic Correlates ◽  
Two Measures ◽  
Vocal Quality ◽  
Spectral Tilt

In an earlier study, we evaluated the effectiveness of several acoustic measures in predicting breathiness ratings for sustained vowels spoken by nonpathological talkers who were asked to produce nonbreathy, moderately breathy, and very breathy phonation (Hillenbrand, Cleveland, & Erickson, 1994). The purpose of the present study was to extend these results to speakers with laryngeal pathologies and to conduct tests using connected speech in addition to sustained vowels. Breathiness ratings were obtained from a sustained vowel and a 12-word sentence spoken by 20 pathological and 5 nonpathological talkers. Acoustic measures were made of (a) signal periodicity, (b) first harmonic amplitude, and (c) spectral tilt. For the sustained vowels, a frequency domain measure of periodicity provided the most accurate predictions of perceived breathiness, accounting for 92% of the variance in breathiness ratings. The relative amplitude of the first harmonic and two measures of spectral tilt correlated moderately with breathiness ratings. For the sentences, both signal periodicity and spectral tilt provided accurate predictions of breathiness ratings, accounting for 70%-85% of the variance.

scholarly journals Sharpness Measure Based on the Frequency Domain Information

2011 ◽  
Vol 16 (3) ◽  
pp. 552-560
Author(s):  
Hyun-Soo Choi ◽  
Chul-Hee Lee
Keyword(s):  
Frequency Domain ◽  
Domain Information

scholarly journals An Application of Time-Frequency-Based Analysis Method for Identifying Bolt Anchorage System

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
H. Q. Zheng ◽  
Y. Zhang ◽  
G. Han ◽  
X. Y. Sun
Keyword(s):  
Frequency Domain ◽  
Time Domain ◽  
Identification Accuracy ◽  
Analysis Method ◽  
Defect Identification ◽  
Time Frequency ◽  
Reinforcing Bar ◽  
Anchorage System ◽  
Convolution Kernels ◽  
Domain Information

A rock bolt refers to a reinforcing bar used commonly in geotechnical engineering. Also, defect identification of bolt anchorage system determines the safe operation of the reinforced structures. In the present paper, to accurately extract defect information, a CNN model based on time-frequency analysis is proposed, covering both time-domain and frequency-domain information. The effect of the number of convolution kernels on the defect identification results is discussed. By laboratory experiments, the performances of STFT-based CNN with those of time-domain input or frequency-domain input-based 1D CNN are compared, and the results demonstrate that the proposed method showed enhanced performance in identification accuracy.

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