PENGUCAPAN MAKHRAJ DARI UNIT BUNYI TERKECIL HURUF HIJAIYAH BERDASARKAN FREKUENSI DASAR DAN FREKUENSI FORMANT UNTUK MEDIA PEMBELAJARAN MEMBACA ALQURAN

ALQALAM ◽  
2015 ◽  
Vol 32 (2) ◽  
pp. 284
Author(s):  
Muhammad Subali ◽  
Miftah Andriansyah ◽  
Christanto Sinambela
Keyword(s):  
College Student ◽  
Fundamental Frequency ◽  
Autocorrelation Function ◽  
Adult Male ◽  
Formant Frequency ◽  
Formant Frequencies ◽  
Male Speaker ◽  
Similarities And Differences

This article aims to look at the similarities and differences in the fundamental frequency and formant frequencies using the autocorrelation function and LPCfunction in GUI MATLAB 2012b on sound hijaiyah letters for adult male speaker beginner and expert based on makhraj pronunciation and both of speaker will be analysis on matching distance of the sound use DTW method on cepstrum. Subject for speech beginner makhraj pronunciation are taken from college student of Universitas Gunadarma and SITC aged 22 years old Data of the speech beginner makhraj pronunciation is recorded using MATLAB algorithm on GUI Subject for speech expert makhraj pronunciation are taken from previous research. They are 20-30 years old from the time of taking data. The sound will be extracted to get the value of the fundamental frequency and formant frequency. After getting both frequencies, it will be obtained analysis of the similarities and differences in the fundamental frequency and formant frequencies of speech beginner and expert and it will shows matching distance of both speech. The result is all of speech beginner and expert based on makhraj pronunciation have different values of fundamental frequency and formant frequency. Then the results of the analysis matching distance using method DTW showed that obtained in the range of 28.9746 to 136.4 between speech beginner and expert based on makhraj pronunciation. Keywords: fundamental frequency, formant frequency, hijaiyah letters, makhraj

The Accuracy of Formant Frequency Measurements

1983 ◽  
Vol 26 (1) ◽  
pp. 89-97 ◽  
Author(s):  
Randall B. Monsen ◽  
A. Maynard Engebretson
Keyword(s):  
Fundamental Frequency ◽  
Linear Prediction ◽  
Synthetic Speech ◽  
Formant Frequency ◽  
Prediction Analysis ◽  
Formant Frequencies ◽  
The Third ◽  
Fundamental Frequencies ◽  
The Difference ◽  
Linear Prediction Analysis

The accuracy of spectrographic techniques and of linear prediction analysis in measuring formant frequencies is compared. The first three formant frequencies 90 synthetic speech tokens were measured by three experienced spectrographic readers and by linear prediction analysis. For fundamental frequencies between 100 and 300 Hz, both methods are accurate to within approximatey , ±60 Hz for both first and second formants. The third formant can be measured with the same degree of accuracy by linear prediction, but only to within ± 110 by spectrographic means. The accuracy of both methods decreases greatly when fundamental frequency is 350 Hz or greater. These limits of measurement appear to be within the range of the difference limens for formant frequencies

scholarly journals Quantitative and Descriptive Comparison of Four Acoustic Analysis Systems: Vowel Measurements

2014 ◽  
Vol 57 (1) ◽  
pp. 26-45 ◽  
Author(s):  
Carlyn Burris ◽  
Houri K. Vorperian ◽  
Marios Fourakis ◽  
Ray D. Kent ◽  
Daniel M. Bolt
Keyword(s):  
Fundamental Frequency ◽  
Adult Male ◽  
Acoustic Analysis ◽  
Published Data ◽  
Analysis Software ◽  
Formant Frequencies ◽  
Acoustic Measures ◽  
Software Packages ◽  
Women And Children

Purpose This study examines accuracy and comparability of 4 trademarked acoustic analysis software packages (AASPs): Praat, WaveSurfer, TF32, and CSL by using synthesized and natural vowels. Features of AASPs are also described. Method Synthesized and natural vowels were analyzed using each of the AASP's default settings to secure 9 acoustic measures: fundamental frequency (F0), formant frequencies (F1–F4), and formant bandwidths (B1–B4). The discrepancy between the software measured values and the input values (synthesized, previously reported, and manual measurements) was used to assess comparability and accuracy. Basic AASP features are described. Results Results indicate that Praat, WaveSurfer, and TF32 generate accurate and comparable F0 and F1–F4 data for synthesized vowels and adult male natural vowels. Results varied by vowel for women and children, with some serious errors. Bandwidth measurements by AASPs were highly inaccurate as compared with manual measurements and published data on formant bandwidths. Conclusions Values of F0 and F1–F4 are generally consistent and fairly accurate for adult vowels and for some child vowels using the default settings in Praat, WaveSurfer, and TF32. Manipulation of default settings yields improved output values in TF32 and CSL. Caution is recommended especially before accepting F1–F4 results for children and B1–B4 results for all speakers.

scholarly journals Field Propagation Experiments of Male African Savanna Elephant Rumbles: A Focus on the Transmission of Formant Frequencies

Animals ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. 167 ◽  
Author(s):  
Anton Baotic ◽  
Maxime Garcia ◽  
Markus Boeckle ◽  
Angela Stoeger
Keyword(s):  
Fundamental Frequency ◽  
Vocal Communication ◽  
Vocal Tract ◽  
Natural Habitat ◽  
Ecological Factors ◽  
Transmission Efficiency ◽  
Long Distance ◽  
African Savanna ◽  
Formant Frequencies ◽  
Resonance Frequencies

African savanna elephants live in dynamic fission–fusion societies and exhibit a sophisticated vocal communication system. Their most frequent call-type is the ‘rumble’, with a fundamental frequency (which refers to the lowest vocal fold vibration rate when producing a vocalization) near or in the infrasonic range. Rumbles are used in a wide variety of behavioral contexts, for short- and long-distance communication, and convey contextual and physical information. For example, maturity (age and size) is encoded in male rumbles by formant frequencies (the resonance frequencies of the vocal tract), having the most informative power. As sound propagates, however, its spectral and temporal structures degrade progressively. Our study used manipulated and resynthesized male social rumbles to simulate large and small individuals (based on different formant values) to quantify whether this phenotypic information efficiently transmits over long distances. To examine transmission efficiency and the potential influences of ecological factors, we broadcasted and re-recorded rumbles at distances of up to 1.5 km in two different habitats at the Addo Elephant National Park, South Africa. Our results show that rumbles were affected by spectral–temporal degradation over distance. Interestingly and unlike previous findings, the transmission of formants was better than that of the fundamental frequency. Our findings demonstrate the importance of formant frequencies for the efficiency of rumble propagation and the transmission of information content in a savanna elephant’s natural habitat.

Vocal Tract Steadiness

1992 ◽  
Vol 35 (4) ◽  
pp. 761-768 ◽  
Author(s):  
Petra Zwirner ◽  
Gary J. Barnes
Keyword(s):  
Motor Control ◽  
Fundamental Frequency ◽  
Vocal Tract ◽  
Upper Airway ◽  
Normal Subjects ◽  
Subject Group ◽  
Formant Frequency ◽  
Control Subjects ◽  
Acoustic Analyses ◽  
The Relationship

Acoustic analyses of upper airway and phonatory stability were conducted on samples of sustained phonation to evaluate the relation between laryngeal and articulomotor stability for 31 patients with dysarthria and 12 non-dysarthric control subjects. Significantly higher values were found for the variability in fundamental frequency and formant frequency of patients who have Huntington’s disease compared with normal subjects and patients with Parkinson’s disease. No significant correlations were found between formant frequency variability and the variability of the fundamental frequency for any subject group. These findings are discussed as they pertain to the relationship between phonatory and upper airway subsystems and the evaluation of vocal tract motor control impairments in dysarthria.

Associations Between Speaking Fundamental Frequency, Vowel Formant Frequencies, and Listener Perceptions of Speaker Gender and Vocal Femininity–Masculinity

2021 ◽  
pp. 1-23
Author(s):  
Yeptain Leung ◽  
Jennifer Oates ◽  
Siew-Pang Chan ◽  
Viktória Papp
Keyword(s):  
Fundamental Frequency ◽  
Structural Equation ◽  
Model Building ◽  
Principal Component ◽  
Equation Modeling ◽  
Formant Frequencies ◽  
Vowel Formant ◽  
Vowel Space ◽  
Australian English ◽  
Speaking Fundamental Frequency

Purpose The aim of the study was to examine associations between speaking fundamental frequency ( f os ), vowel formant frequencies ( F ), listener perceptions of speaker gender, and vocal femininity–masculinity. Method An exploratory study was undertaken to examine associations between f os , F 1 – F 3 , listener perceptions of speaker gender (nominal scale), and vocal femininity–masculinity (visual analog scale). For 379 speakers of Australian English aged 18–60 years, f os mode and F 1 – F 3 (12 monophthongs; total of 36 F s) were analyzed on a standard reading passage. Seventeen listeners rated speaker gender and vocal femininity–masculinity on randomized audio recordings of these speakers. Results Model building using principal component analysis suggested the 36 F s could be succinctly reduced to seven principal components (PCs). Generalized structural equation modeling (with the seven PCs of F and f os as predictors) suggested that only F 2 and f os predicted listener perceptions of speaker gender (male, female, unable to decide). However, listener perceptions of vocal femininity–masculinity behaved differently and were predicted by F 1 , F 3 , and the contrast between monophthongs at the extremities of the F 1 acoustic vowel space, in addition to F 2 and f os . Furthermore, listeners' perceptions of speaker gender also influenced ratings of vocal femininity–masculinity substantially. Conclusion Adjusted odds ratios highlighted the substantially larger contribution of F to listener perceptions of speaker gender and vocal femininity–masculinity relative to f os than has previously been reported.

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