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Journal articles on the topic 'Pitch-synchronous'

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Published: 6 September 2023

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1

Kim, Miran, and Hosung Nam. "Pitch accommodation in synchronous speech." Journal of the Acoustical Society of America 125, no. 4 (April 2009): 2575. http://dx.doi.org/10.1121/1.4783787.

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2

Vidal, Yolanda, Leonardo Acho, Ignasi Cifre, Àlex Garcia, Francesc Pozo, and José Rodellar. "Wind Turbine Synchronous Reset Pitch Control." Energies 10, no. 6 (June 1, 2017): 770. http://dx.doi.org/10.3390/en10060770.

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3

Chen, C. Julian, and Donald A. Miller. "Pitch-Synchronous Analysis of Human Voice." Journal of Voice 34, no. 4 (July 2020): 494–502. http://dx.doi.org/10.1016/j.jvoice.2019.01.009.

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4

Behles, Gerhard, Sascha Starke, and Axel Robel. "Quasi-Synchronous and Pitch-Synchronous Granular Sound Processing with Stampede II." Computer Music Journal 22, no. 2 (1998): 44. http://dx.doi.org/10.2307/3680963.

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5

Tian, W. S., W. C. Wong, C. Y. Law, and A. P. Tan. "Pitch synchronous extended excitation in multimode CELP." IEEE Communications Letters 3, no. 9 (September 1999): 275–76. http://dx.doi.org/10.1109/4234.784585.

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6

Jackson, Philip J. B., and Christine H. Shadle. "Pitch‐synchronous decomposition of mixed‐source speech signals." Journal of the Acoustical Society of America 103, no. 5 (May 1998): 2776. http://dx.doi.org/10.1121/1.422240.

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7

SAKURAI, Motoyuki, and Hiroshi IIZUKA. "Effect of Pitch Difference on Synchronous-Belt Deformation." Proceedings of the JSME annual meeting 2003.4 (2003): 3–4. http://dx.doi.org/10.1299/jsmemecjo.2003.4.0_3.

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8

Medan, Y., and E. Yair. "Pitch synchronous spectral analysis scheme for voiced speech." IEEE Transactions on Acoustics, Speech, and Signal Processing 37, no. 9 (1989): 1321–28. http://dx.doi.org/10.1109/29.31287.

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9

Koreman, Jacques, and Ben Cranen. "(Semi‐)automatic pitch‐synchronous computation of glottal flow." Journal of the Acoustical Society of America 86, S1 (November 1989): S36. http://dx.doi.org/10.1121/1.2027478.

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10

Moncur, Robert Brian. "Method and apparatus for determining pitch synchronous frames." Journal of the Acoustical Society of America 113, no. 5 (2003): 2389. http://dx.doi.org/10.1121/1.1584148.

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11

Laskaris, Konstantinos, Effrosyni Theodorou, Vasilios Papanikolaou, and Antonios Kladas. "High Efficiency Permanent Magnet Wheel Motor Design for Light Electric Vehicle Applications." Materials Science Forum 721 (June 2012): 313–18. http://dx.doi.org/10.4028/www.scientific.net/msf.721.313.

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Permanent magnet synchronous machines with non-overlapping concentrated fractional-slot windings present certain improved electrical characteristics compared to full pitch windings configurations. This paper describes the design process and construction of two 10-pole permanent magnet synchronous motors, featuring full-pitch and fractional-pitch windings. The paper compares these two configurations in terms of performance and efficiency. Both motors have been designed for direct-drive applications with low speed and high efficiency capability and are intended to be used as a traction drive in an electric prototype vehicle. The proposed motors have external rotor configuration with surface mounted NdFeB magnets. The electromagnetic characteristics and performance are computed and analyzed by means of finite elements analysis. These results are finally compared with the experimental measurements on respective prototypes.
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12

BHASKORO, SUSETYO BAGAS, IRNA ARIANI, and ANANDHA A. ALAMSYAH. "Transformasi Pitch Suara Manusia Menggunakan Metode PSOLA." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 2, no. 2 (July 1, 2014): 129. http://dx.doi.org/10.26760/elkomika.v2i2.129.

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ABSTRAKKemampuan pengubahan suara yang dilakukan Dubber untuk beragam bentuk suara menjadi perhatian khusus dengan melakukan rekayasa suara, di dalam perkembangan teknologi di kenal sebuah teknikpitch shifting yang digunakan untuk mengubah suara manusia di bagian timbre dan pitch. Penelitian ini menggunakan metodepitch shifting PSOLA (Pitch Synchronous Overlap Add) untuk merubah pitch sekaligus timbre suara. Proses yang dilakukan meliputi perekaman suara sehingga didapatkan sinyal suara. Sinyal hasil perekaman kemudian diolah untuk menemukan posisi pitch dari sinyal pada domain waktu. Setelah posisi pitch diketahui, jarak antar pitch akan dikalikan dengan bilangan skala pergeseran yang sudah ditentukan. Hasil dari perkalian tersebut adalah perubahan pada pitch suara, sehingga menghasilkan suara yang lebih tinggi atau lebih rendah. Perubahan juga terjadi pada timbre sehingga menghasilkan karakter suara yang berbeda dengan suara aselinya.Hasil pengujian pitch dan timbre dengan menggunakan metode PSOLA menunjukkan keberhasilan mencapai 98% berdasarkan sinyal sinus.Kata kunci: Pitch, Timbre,Pitch Shifting, PSOLA.ABSTRACTThe ability of converts sound done in various forms of a dubber sound, becomes a special attention in doing an engineering design sound. In the development of technology the pitch of shifting know a technique that is used to turn the human voice in the timbre and pitch. This study using methods pitch shifting psola (pitch synchronous overlap add) to change the pitch as well as the timbre sound. The process was about recording a sound so obtained up a noise. Recording signals then processed the results to find the position of the pitch signals on the domain of time. After the position of the pitch known, the distance between the pitch will be multiplied by the number of the scale of a shift that had been determined. The result of the multiplication of the sound is a change in pitch , so producing a higher or lower, Also happens to change the timbre that produces characters a different voice with the original sound. The examination result of pitch and timbre using PSOLA method shows the success as big as 98% for signal sinus examination.Keywords: Pitch, Timbre, Pitch Shifting, PSOLA.
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13

Van Soom, Marnix, and Bart de Boer. "Detrending the Waveforms of Steady-State Vowels." Entropy 22, no. 3 (March 13, 2020): 331. http://dx.doi.org/10.3390/e22030331.

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Steady-state vowels are vowels that are uttered with a momentarily fixed vocal tract configuration and with steady vibration of the vocal folds. In this steady-state, the vowel waveform appears as a quasi-periodic string of elementary units called pitch periods. Humans perceive this quasi-periodic regularity as a definite pitch. Likewise, so-called pitch-synchronous methods exploit this regularity by using the duration of the pitch periods as a natural time scale for their analysis. In this work, we present a simple pitch-synchronous method using a Bayesian approach for estimating formants that slightly generalizes the basic approach of modeling the pitch periods as a superposition of decaying sinusoids, one for each vowel formant, by explicitly taking into account the additional low-frequency content in the waveform which arises not from formants but rather from the glottal pulse. We model this low-frequency content in the time domain as a polynomial trend function that is added to the decaying sinusoids. The problem then reduces to a rather familiar one in macroeconomics: estimate the cycles (our decaying sinusoids) independently from the trend (our polynomial trend function); in other words, detrend the waveform of steady-state waveforms. We show how to do this efficiently.
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14

Hasian, Irene, and Azhari Rahma. "Perancangan dan Implementasi Sistem Informasi Olah Vocal menggunakan Metode PSOLA." SENTINEL 2, no. 2 (July 19, 2019): 180–97. http://dx.doi.org/10.56622/sentineljournal.v2i2.16.

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Pada dasarnya manusia memiliki karakteristik suara dan frekuensi yang berbeda dalammelafadkan ucapan. Didalam perkembangan teknologi di kenal sebuah teknik pitch shiftingyang digunakan untuk mengubah suara manusia di bagian timbre dan pitch. Penelitian inimenggunakan metode pitch shifting PSOLA (Pitch Synchronous Overlap Add) untuk mengubahpitch sekaligus timbre suara. Proses yang dilakukan meliputi perekaman suara sehinggadidapatkan sinyal suara. Sinyal hasil perekaman kemudian diolah untuk menemukan posisipitch dari sinyal pada domain waktu. Setelah posisi pitch diketahui, jarak antar pitch akandikalikan dengan bilangan skala pergeseran skala pergeseran yang sudah ditentukan. Hasildari perkalian tersebut adalah perubahan pada pitch suara, sehingga menghasilkan suara yanglebih tinggi atau lebih rendah. Perubahan juga terjadi pada timbre sehingga menghasilkankarakter suara yang berbeda dengan suara aselinya. Hasil pengujian pitch dan timbre denganmenggunakan metode PSOLA menunjukan keberhasilan mencapai 98% berdasarkan sinyalsinus, atau kerapatan suara yang dihasilkan lebih stabil.
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15

Ohgawara, Takashi. "Electric Variable Pitch Propeller Mechanism Using Synchronous Differential Transmission." Marine Engineering 53, no. 2 (2018): 246–51. http://dx.doi.org/10.5988/jime.53.246.

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16

BESPALOV, Viktor Ya, and Boris N. KARZHAVOV. "Synchronous Machines with Tooth-pitch Winding in Control Drives." Elektrichestvo, no. 6 (2017): 43–52. http://dx.doi.org/10.24160/0013-5380-2017-6-43-52.

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17

Fette, Bruce A. "Pitch epoch synchronous liner predictive coding vocoder and method." Journal of the Acoustical Society of America 102, no. 3 (September 1997): 1284. http://dx.doi.org/10.1121/1.420026.

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18

Fette, Bruce A. "Pitch epoch synchronous linear predictive coding vocoder and method." Journal of the Acoustical Society of America 101, no. 1 (January 1997): 24. http://dx.doi.org/10.1121/1.419503.

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19

Evangelista, G. "Pitch-synchronous wavelet representations of speech and music signals." IEEE Transactions on Signal Processing 41, no. 12 (1993): 3313–30. http://dx.doi.org/10.1109/78.258076.

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20

Muta, Hiroshi, Thomas Baer, Kikuju Wagatsuma, Teruo Muraoka, and Hiroyuki Fukuda. "A pitch‐synchronous analysis of hoarseness in running speech." Journal of the Acoustical Society of America 84, no. 4 (October 1988): 1292–301. http://dx.doi.org/10.1121/1.396628.

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21

Amirgaliyev, Yedilkhan, Minsoo Hahn, and Timur Mussabayev. "The speech signal segmentation algorithm using pitch synchronous analysis." Open Computer Science 7, no. 1 (March 28, 2017): 1–8. http://dx.doi.org/10.1515/comp-2017-0001.

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Abstract Parameterization of the speech signal using the algorithms of analysis synchronized with the pitch frequency is discussed. Speech parameterization is performed by the average number of zero transitions function and the signal energy function. Parameterization results are used to segment the speech signal and to isolate the segments with stable spectral characteristics. Segmentation results can be used to generate a digital voice pattern of a person or be applied in the automatic speech recognition. Stages needed for continuous speech segmentation are described.
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22

Wachi, Masatada. "Digital electronic musical instrument of pitch synchronous sampling type." Journal of the Acoustical Society of America 79, no. 6 (June 1986): 2107. http://dx.doi.org/10.1121/1.393128.

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23

Jingli, Zhou, Lu Hongwei, and Yu Shengsheng. "Synchronous correct of the pitch by using the TMS320C50." Computer Standards & Interfaces 20, no. 6-7 (March 1999): 441. http://dx.doi.org/10.1016/s0920-5489(99)90905-4.

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24

Yang, Haiyun, Soo-Ngee Koh, Pratab Sivaprakasapillai, and Costas Xydeas. "Pitch synchronous multi-band (PSMB) coding of speech signals." Speech Communication 19, no. 1 (July 1996): 61–80. http://dx.doi.org/10.1016/0167-6393(96)00027-1.

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25

Gupta, S., and J. Schroeter. "Pitch‐synchronous analysis/synthesis using models of speech production." Journal of the Acoustical Society of America 87, S1 (May 1990): S39. http://dx.doi.org/10.1121/1.2028200.

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26

Miki, Satoshi, Takehiro Moriya, Kazunori Mano, and Hitoshi Ohmuro. "Pitch synchronous innovation code excited linear prediction (PSI-CELP)." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 77, no. 12 (1994): 36–49. http://dx.doi.org/10.1002/ecjc.4430771204.

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27

Mousa, Allam. "Voice Conversion Using Pitch Shifting Algorithm by Time Stretching with PSOLA and Re-Sampling." Journal of Electrical Engineering 61, no. 1 (January 1, 2010): 57–61. http://dx.doi.org/10.2478/v10187-010-0008-5.

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Voice Conversion Using Pitch Shifting Algorithm by Time Stretching with PSOLA and Re-SamplingVoice changing has many applications in the industry and commercial filed. This paper emphasizes voice conversion using a pitch shifting method which depends on detecting the pitch of the signal (fundamental frequency) using Simplified Inverse Filter Tracking (SIFT) and changing it according to the target pitch period using time stretching with Pitch Synchronous Over Lap Add Algorithm (PSOLA), then resampling the signal in order to have the same play rate. The same study was performed to see the effect of voice conversion when some Arabic speech signal is considered. Treatment of certain Arabic voiced vowels and the conversion between male and female speech has shown some expansion or compression in the resulting speech. Comparison in terms of pitch shifting is presented here. Analysis was performed for a single frame and a full segmentation of speech.
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28

Kim, Y. J., and J. H. Chung. "Pitch synchronous cepstrum for robust speaker recognition over telephone channels." Electronics Letters 40, no. 3 (2004): 207. http://dx.doi.org/10.1049/el:20040146.

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29

Stahl, Johannes, and Pejman Mowlaee. "A Pitch-Synchronous Simultaneous Detection-Estimation Framework for Speech Enhancement." IEEE/ACM Transactions on Audio, Speech, and Language Processing 26, no. 2 (February 2018): 436–50. http://dx.doi.org/10.1109/taslp.2017.2779405.

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30

Laukkanen, Anne-Maria, Raija Takalo, Miika Arvonen, and Erkki Vilkman. "Pitch-Synchronous Changes in the Anterior Cricothyroid Space During Singing." Journal of Voice 16, no. 2 (June 2002): 182–94. http://dx.doi.org/10.1016/s0892-1997(02)00088-7.

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31

Gupta, Shruti, Md Shah Fahad, and Akshay Deepak. "Pitch-synchronous single frequency filtering spectrogram for speech emotion recognition." Multimedia Tools and Applications 79, no. 31-32 (June 8, 2020): 23347–65. http://dx.doi.org/10.1007/s11042-020-09068-1.

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32

Alku, Paavo. "Glottal wave analysis with Pitch Synchronous Iterative Adaptive Inverse Filtering." Speech Communication 11, no. 2-3 (June 1992): 109–18. http://dx.doi.org/10.1016/0167-6393(92)90005-r.

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33

Ding, Huijun, Ing Yann Soon, and Chai Kiat Yeo. "A DCT-Based Speech Enhancement System With Pitch Synchronous Analysis." IEEE Transactions on Audio, Speech, and Language Processing 19, no. 8 (November 2011): 2614–23. http://dx.doi.org/10.1109/tasl.2011.2156785.

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34

Shi, Cheng Lin, and Han Bing Liu. "Experiment Research on Key Performance Indexes of Synchronous Gravel Water-Proof Adhesive Layer for Bridge Deck Pavement in Seasonal Frozen Region." Applied Mechanics and Materials 744-746 (March 2015): 767–72. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.767.

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Synchronous gravel water-proof adhesive layer has many advantages, and is widely used to bridge deck pavement. Though the material of synchronous gravel water-proof adhesive layer has high temperature sensitivity, it needs more research that whether this construction can well adapt to seasonal frozen region. Used UTM-100 and self-design testing machine, we tested and analysis the key parameters of the water-proof adhesive layer about SBS nature-changing pitch crushed stones, rubber-asphalt synchronous gravel and high-viscosity asphalt synchronous gravel. Firstly, based on result of core testing under normal temperature, I determined the best mix-proportion for three materials, and tested their shear, tensile strength, deformation performance under different temperature and humidity.
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35

Makita, Kenichi, Masanori Kagotani, Hiroyuki Ueda, and Tomio Koyama. "Transmission Error in Synchronous Belt Drives With Idler (Influence of Thickness Error of Belt Back Face Under No Load Conditions)." Journal of Mechanical Design 126, no. 1 (January 1, 2004): 148–55. http://dx.doi.org/10.1115/1.1639379.

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Synchronous belt drives are commonly used in conjunction with an idler on the back face of the belt. However, thickness errors between the belt pitch line and back face of the belt, if present, will result in a change in belt tension on the span, and are considered to affect transmission error. In the present study, the transmission error in a synchronous belt drive with an idler under no load was investigated both theoretically and experimentally using a belt of known thickness error. The computed transmission error agrees well with the experimental data thereby verifying the applicability of the analysis method. In addition, a transmission error was mainly generated by the change in length of the belt pitch line due to the thickness error of the belt. It is shown that the transmission error due to the belt thickness error can be removed by using an automatic tensioner.
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36

Shofner, William P. "Responses of Cochlear Nucleus Units in the Chinchilla to Iterated Rippled Noises: Analysis of Neural Autocorrelograms." Journal of Neurophysiology 81, no. 6 (June 1, 1999): 2662–74. http://dx.doi.org/10.1152/jn.1999.81.6.2662.

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Responses of cochlear nucleus units in the chinchilla to iterated rippled noises: analysis of neural autocorrelograms. Temporal encoding of stimulus features related to the pitch of iterated rippled noises was studied for single units in the chinchilla cochlear nucleus. Unlike other periodic complex sounds that produce pitch, iterated rippled noises have neither periodic waveforms nor highly modulated envelopes. Infinitely iterated rippled noise (IIRN) is generated when wideband noise (WBN) is delayed (τ), attenuated, and then added to (+) or subtracted from (−) the undelayed WBN through positive feedback. The pitch of IIRN[+, τ, −1 dB] is at 1/τ, whereas the pitch of IIRN[−, τ, −1 dB] is at 1/2τ. Temporal responses of cochlear nucleus units were measured using neural autocorrelograms. Synchronous responses as shown by peaks in neural autocorrelograms that occur at time lags corresponding to the IIRN τ can be observed for both primarylike and chopper unit types. Comparison of the neural autocorrelograms in response to IIRN[+, τ, −1 dB] and IIRN[−, τ, −1 dB] indicates that the temporal discharge of primarylike units reflects the stimulus waveform fine structure, whereas the temporal discharge patterns of chopper units reflect the stimulus envelope. The pitch of IIRN[±, τ, −1 dB] can be accounted for by the temporal discharge patterns of primarylike units but not by the temporal discharge of chopper units. To quantify the temporal responses, the height of the peak in the neural autocorrelogram at a given time lag was measured as normalized rate. Although it is well documented that chopper units give larger synchronous responses than primarylike units to the fundamental frequency of periodic complex stimuli, the largest normalized rates in response to IIRN[+, τ, −1 dB] were obtained for primarylike units, not chopper units. The results suggest that if temporal encoding is important in pitch processing, then primarylike units are likely to be an important cochlear nucleus subsystem that carries the pitch-related information to higher auditory centers.
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37

OHGAWARA, Takashi, Yusuke GOTO, and Nobuto MATSUHIRA. "Mechanism of synchronous differential transmission and an electric variable pitch propeller." Proceedings of Mechanical Engineering Congress, Japan 2020 (2020): S11210. http://dx.doi.org/10.1299/jsmemecj.2020.s11210.

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38

Zilca, R. D., B. Kingsbury, J. Navratil, and G. N. Ramaswamy. "Pseudo Pitch Synchronous Analysis of Speech With Applications to Speaker Recognition." IEEE Transactions on Audio, Speech and Language Processing 14, no. 2 (March 2006): 467–78. http://dx.doi.org/10.1109/tsa.2005.857809.

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39

Hieronymus, James L., and William J. Majurski. "A formant tracker based on pitch synchronous spectra and bark scaling." Journal of the Acoustical Society of America 80, S1 (December 1986): S19. http://dx.doi.org/10.1121/1.2023693.

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40

Arnoldy, R. L. "Fine structure and pitch angle dependence of synchronous orbit electron injections." Journal of Geophysical Research 91, A12 (1986): 13411. http://dx.doi.org/10.1029/ja091ia12p13411.

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41

SAKURAI, Motoyuki, and Hiroshi IIZUKA. "Effect of Pulley Diameter and Pitch Difference on Synchronous Belt Deformation." Proceedings of the Symposium on Motion and Power Transmission 2004 (2004): 243–46. http://dx.doi.org/10.1299/jsmempt.2004.243.

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42

Gugatschka, M., K. Kiesler, J. Chibidziura-Priesching, B. Schökler, and G. Friedrich. "Pitch Synchronous Changes of the Anterior Cricothyroid Gap by Using Ultrasonography." Journal of Voice 23, no. 5 (September 2009): 610–13. http://dx.doi.org/10.1016/j.jvoice.2008.01.011.

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43

Rao, K. Sreenivasa, Sudhamay Maity, and V. Ramu Reddy. "Pitch synchronous and glottal closure based speech analysis for language recognition." International Journal of Speech Technology 16, no. 4 (April 12, 2013): 413–30. http://dx.doi.org/10.1007/s10772-013-9193-5.

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44

Morales-Cordovilla, Juan A., Antonio M. Peinado, Victoria Sanchez, and José A. Gonzalez. "Feature Extraction Based on Pitch-Synchronous Averaging for Robust Speech Recognition." IEEE Transactions on Audio, Speech, and Language Processing 19, no. 3 (March 2011): 640–51. http://dx.doi.org/10.1109/tasl.2010.2053846.

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45

Mano, K., T. Moriya, S. Miki, H. Ohmuro, K. Ikeda, and J. Ikedo. "Design of a pitch synchronous innovation CELP coder for mobile communications." IEEE Journal on Selected Areas in Communications 13, no. 1 (1995): 31–41. http://dx.doi.org/10.1109/49.363148.

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46

Zeng, Yumin, and Zhenyang Wu. "Combination of pitch synchronous analysis and fisher criterion for speaker identification." Journal of Electronics (China) 24, no. 6 (November 2007): 828–34. http://dx.doi.org/10.1007/s11767-007-0034-z.

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47

Ben Smida, Mouna, and Anis Sakly. "Pitch angle control for grid-connected variable-speed wind turbine system using fuzzy logic: A comparative study." Wind Engineering 40, no. 6 (October 3, 2016): 528–39. http://dx.doi.org/10.1177/0309524x16671191.

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Pitch angle control is considered as a practical technique for power regulation above the rated wind speed. As conventional pitch control commonly the proportional–integral controller is used. However, the proportional–integral type may well not have suitable performance if the controlled system contains nonlinearities as the wind turbine system or the desired wind trajectory varied with higher frequency. In the presence of modeling uncertainties, the necessity of methods presenting controllers with appropriate performance as the advanced control strategies is inevitable. The pitch angle based on fuzzy logic is proposed in this work. We are interested to the development of a wind energy conversion system based on permanent magnet synchronous generator. The fuzzy logic controller is effective to compensate the nonlinear characteristics of the pitch angle to the wind speed. The design of the proposed strategy and its comparison with a conventional proportional–integral controller are carried out. The proposed method effectiveness is verified using MATLAB simulation results.
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48

Gupta, Sunil K., and Juergen Schroeter. "Pitch‐synchronous frame‐by‐frame and segment‐based articulatory analysis by synthesis." Journal of the Acoustical Society of America 94, no. 5 (November 1993): 2517–30. http://dx.doi.org/10.1121/1.407364.

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49

Ramakrishnan, A. G., B. Abhiram, and S. R. Mahadeva Prasanna. "Voice source characterization using pitch synchronous discrete cosine transform for speaker identification." Journal of the Acoustical Society of America 137, no. 6 (June 2015): EL469—EL475. http://dx.doi.org/10.1121/1.4921679.

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50

Appakaya, Sai Bharadwaj, and Ravi Sankar. "Pitch synchronous speech analysis for the assessment of subjects with Parkinson’s disease." Journal of the Acoustical Society of America 143, no. 3 (March 2018): 1746. http://dx.doi.org/10.1121/1.5035702.

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