Academic literature on the topic 'Syllable duration'
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Journal articles on the topic "Syllable duration"
Aldrich, Alexander C., and Miquel Simonet. "Duration of syllable nuclei in Spanish." Studies in Hispanic and Lusophone Linguistics 12, no. 2 (September 25, 2019): 247–80. http://dx.doi.org/10.1515/shll-2019-2012.
Full textTroyer, Todd W., Michael S. Brainard, and Kristofer E. Bouchard. "Timing during transitions in Bengalese finch song: implications for motor sequencing." Journal of Neurophysiology 118, no. 3 (September 1, 2017): 1556–66. http://dx.doi.org/10.1152/jn.00296.2017.
Full textCANAULT, Mélanie, Naomi YAMAGUCHI, Nikola PAILLEREAU, Jennifer KRZONOWSKI, Johanna-Pascale ROY, Christophe DOS SANTOS, and Sophie KERN. "Syllable duration changes during babbling: a longitudinal study of French infant productions." Journal of Child Language 47, no. 6 (April 29, 2020): 1207–27. http://dx.doi.org/10.1017/s030500092000015x.
Full textLunden, Anya. "Syllable weight and duration: A rhyme/intervals comparison." Proceedings of the Linguistic Society of America 2 (June 12, 2017): 33. http://dx.doi.org/10.3765/plsa.v2i0.4084.
Full textKachkovskaia, Tatiana V., and Maya A. Nurislamova. "ON CONSONANT DURATION IN СУ AND CCV SYLLABLES." Theoretical and Applied Linguistics, no. 3 (2017): 34–44. http://dx.doi.org/10.22250/2410-7190_2017_3_4_34_44.
Full textZiegler, Wolfram, Erich Hartmann, and Philip Hoole. "Syllabic Timing in Dysarthria." Journal of Speech, Language, and Hearing Research 36, no. 4 (August 1993): 683–93. http://dx.doi.org/10.1044/jshr.3604.683.
Full textZhang, Ling. "Syllable isochrony and the prosodic features of stop syllables in Cantonese." Language and Linguistics / 語言暨語言學 23, no. 1 (December 15, 2021): 20–46. http://dx.doi.org/10.1075/lali.00098.zha.
Full textSen, Ranjan. "Reconstructing phonological change: duration and syllable structure in Latin vowel reduction." Phonology 29, no. 3 (December 2012): 465–504. http://dx.doi.org/10.1017/s0952675712000231.
Full textRobb, Michael P., and John H. Saxman. "Syllable Durations of Preword and Early Word Vocalizations." Journal of Speech, Language, and Hearing Research 33, no. 3 (September 1990): 583–93. http://dx.doi.org/10.1044/jshr.3303.583.
Full textLee, Myoung Soon, and Hyun Park. "Acoustic characteristics of resyllabification process in Korean." Clinical Archives of Communication Disorders 6, no. 2 (August 31, 2021): 141–48. http://dx.doi.org/10.21849/cacd.2021.00549.
Full textDissertations / Theses on the topic "Syllable duration"
Mirt, Jessica J. "Syllable number and durations of infant vocalizations during mother-infant interaction." Thesis, Wichita State University, 2014. http://hdl.handle.net/10057/10970.
Full textChang, Yi-Ling, and 張懿玲. "Syllable structure and tonal effect on perceived vowel duration." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/n9g7k5.
Full text國立交通大學
外國語文學系外國文學與語言學碩士班
106
Previous studies have shown that the shape of pitch contours has an influence on perceived vowel duration in that listeners tend to perceive vowels as shorter even when they are produced longer (Gussenhoven & Zhou, 2013). Several hypotheses have thus been proposed to account for the correlation between the perceived and produced vowel lengths, including hyperarticulation (Yu 2010), compensatory listening strategy (Gussenhoven 2007), and tone crowding (Sundberg 1973). Furthermore, Gussenhoven & Zhou (2013) have also reported that vowels of different duration steps and with different onsets (i.e., aspirated vs. unaspirated stops) were perceived as more different by Chinese listeners, whose native language uses pitch and [+spread glottis] contrastively, than by Dutch listeners, suggesting an effect of tonal and segmental contrasts in one’s native language on one’s perception. In this study, two perceptual rating experiments were used to investigate whether tonal and segmental differences would influence the perceived vowel duration by listeners of different native languages (i.e., Taiwanese Southern Min vs. Mandarin Chinese). Findings from these experiments showed that the pitch patterns are not readily explainable by a single strategy. Instead, perception often mimics actual production length (i.e., mimicking effect) and syllables with more tones are in general perceived as longer than syllables with fewer tones (i.e., a tone crowding hypothesis). Segmental differences are shown to also affect vowel perception length. Vowels with nasal [m] onset were perceived significantly longer than those with voiced obstruent onset [b], suggesting that vowels with a sonorant onset (i.e., [m]) may contribute to the perception of vowel duration. Participants gave higher rating scores to vowels with codas than to vowels without codas, suggesting that coda duration is counted towards perceived vowel duration as well. An explanation from processing these stimuli in the auditory mode is provided. Taken together, the results of this thesis show that vowel perception length may depend on fundamental frequency, onset type, and coda type.
邱雅慧. "A Comparative Study on the Syllable Duration of Mandarine Co-verbs." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/69233427113875159520.
Full text國立新竹教育大學
臺灣語言與語文教育研究所
100
Does syllable duration has the function to distinguish semantics in Taiwan Mandarin?We use co-verbs, which have the same consonant, vowel, syllable number, syllable structure, tone and sentence position to carry on two tests. There are 20 co-verbs in test one. One co-verb has two test sentences, one is the co-verb display verb’s function, the other is the co-verb display preposition’s function. There are 40 sentences in test one. We design test sentences by Academia Sinica Balanced Corpus of Modern Chinese and give 3 examinees every sentence using background. Every examinee read every sentence three times loudly. Then, we collect 360 pronunciation materials. The test present that verb’s syllable duration is longer than preposition’s in 16 co-verbs. The t-test p-value in test one is 0.014, which display the different syllable duration between verbs and prepositions. There are 8 co-verbs in test two. Test sentence design is like Test one. There are 48 sentences in test two. We design test sentences by google and don’t give 15 examinees every sentence using background. After examinees read, we collect 720 pronunciation materials. The test present that verb’s syllable duration is longer than preposition’s in 8 co-verbs. The t-test p-value in test two is 0.000. Our research discovered several points. 1. The syllable durations between verbs and prepositions are different. 2. The verb syllable durations is longer than the prepositions’. 3. Words with different function have different syllable durations. 4. It’s universal in Taiwan Mandarin co-verbs that a verb syllable duration is longer than a preposition. 5. It is influential on syllable duration that giving sentence using background or not, and repeat or not. 6. The language materials distribution of co-verbs is not influential on syllable duration.
Jen, WenTsai, and 任文采. "A prediction model for syllable duration in a Mandarin Text-to- Speech System." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/31273394277514154074.
Full text國立中興大學
應用數學系
85
In this thesis, a statistical probability based model for predicting the duration of sylable in Chinese Text-To-Speech system is developed. In our system, the predition model is propopsed by a parser that can extract some meaningful parameters from our voice training data files. Five context- dependent parameters will be introduced in this thesis.
Chien, Miin-chang, and 簡敏昌. "A Study on VQ/HMM Based Methods for Syllable Duration and Amplitude Parameters Generation." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/67649345549540340518.
Full text國立臺灣科技大學
電機工程系
88
Syllable duration and amplitude are two important prosodic parameters for Mandarin text-to-speech because they have much influence on the fluency and naturalness of the synthesized speech. In this thesis, a method based on vector quantization(VQ) and hidden Markov model(HMM) is used to model syllable duration and amplitude separately. For convenience, the two models for duration and amplitude are together called DA-HMM. In the training phase for DA-HMM, the durations and amplitudes of the syllables comprising each training sentence are normalized first. Then, the average duration and amplitude for each kind of syllable and syllable-final are computed from the normalized training syllables. According to these average values, the 410 kinds of syllables and 37 kinds of syllable-finals are classified respectively by using vector quantization. The VQ codes of adjacent syllables in a training sentence are then combined to form the observation syllable sequence for HMM training. In the synthesis phase, the information of word-boundary and breath-group from text-processing stage are used to arrange the state transition sequence for DA-HMM. Then, according to the assigned state and the encoded observation symbol, the duration and amplitude parameters of each syllable in a sentence to be synthesized can be look up from auxiliary parameters ,of DA-HMM, estimated in the training phase. To study the performance of DA-HMM, we have conducted several experiments. The results show that for inside test, the average prediction errors of a syllable’s duration and amplitude are 43 ms and 1.1dB respectively, and that for outside test, the average prediction errors of a syllable’s duration and amplitude are 22 ms and 2.2 dB respectively.
Modarresi, Ghavami Golnaz. "The effects of syllable boundary, stop consonant closure duration, and VOT on VCV coarticulation." Thesis, 2002. http://wwwlib.umi.com/cr/utexas/fullcit?p3110660.
Full textLiska, Jan. "Akustické vlastnosti slovního přízvuku ve čtené české anglictině." Master's thesis, 2011. http://www.nusl.cz/ntk/nusl-312449.
Full textLIOU-ZIH-YANG and 劉子揚. "Normalization and Prediction of Syllable Initial and Final Durations for speech Synthesis." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/49zkw8.
Full text國立臺灣科技大學
資訊工程系
105
In this thesis, normalization methods for syllable initial and final durations are studied. Also, a feature set is designed for Weka to construct classification and regression trees (CART) to predict the syllable initial and final durations of a text sentence to be synthesized. We hope to combine the two studies (duration normalization and duration prediction in terms of CART),to increase the naturalness level of the synthesized speech especially in the arrangement of initial an final durations. In the training stage, the original durations of syllable initial and final are obtained by reading the corresponding label file of a training sentence. Then, the method, two level standard deviation matching, proposed here is used to normalize the durations of syllable initials and finals. Next, the software, Weka, is used to construct two CART trees for the durations of syllable initials and finals respectively. In the synthesis stage, we develop program modules to predict the duration of a syllable initial or final according to the two CART constructed by Weka. Then these program modules are integrated to the speech synthesis system developed by predecessor researchers. Hence, the system can synthesize speech signals according to the duration normalization and prediction methods studied in this thesis. By using the synthesized speechs, we conduct two types of listening tests including naturalness level comparison and naturalness level MOS evaluation. According to the average scores obtained from the listening tests, naturalness level comparison, the duration prediction method studied here is indeed better than the method provided by predecessor researchers. This is because the arrangement of syllable initial and final durations by our method is more natural. In addition, according to the average scores obtained from the listening tests, naturalness level MOS evaluation, most participants agree that the synthetic speechs by using our duration prediction method are very close to the corresponding speechs uttered by a real speaker. In details, the average scores of our synthetic speechs are all greater than 3.5 points, and one of them is greater than 4 points. Therefore, the naturalness level of the synthetic speechs by using our duration normalization and prediction methods is very close to the speechs uttered by a real person.
Books on the topic "Syllable duration"
Reassessing the role of the syllable in Italian phonology: An experimental study of consonant cluster syllabification, definite article allomorphy and segment duration. New York: Routledge, 2007.
Find full textEhrenhofer, Lara, Adam C. Roberts, Sandra Kotzor, Allison Wetterlin, and Aditi Lahiri. Asymmetric processing of consonant duration in Swiss German. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198754930.003.0010.
Full textKambourakis, Kristie McCrary. Reassessing the Role of the Syllable in Italian Phonology: An Experimental Study of Consonant Cluster Syllabification, Definite Article Allomorphy, and Segment Duration. Taylor & Francis Group, 2016.
Find full textKambourakis, Kristie McCrary. Reassessing the Role of the Syllable in Italian Phonology: An Experimental Study of Consonant Cluster Syllabification, Definite Article Allomorphy, and Segment Duration. Taylor & Francis Group, 2020.
Find full textKambourakis, Kristie McCrary. Reassessing the Role of the Syllable in Italian Phonology: An Experimental Study of Consonant Cluster Syllabification, Definite Article Allomorphy, and Segment Duration. Taylor & Francis Group, 2020.
Find full textKambourakis, Kristie McCrary. Reassessing the Role of the Syllable in Italian Phonology: An Experimental Study of Consonant Cluster Syllabification, Definite Article Allomorphy, and Segment Duration. Taylor & Francis Group, 2020.
Find full textKambourakis, Kristie McCrary. Reassessing the Role of the Syllable in Italian Phonology: An Experimental Study of Consonant Cluster Syllabification, Definite Article Allomorphy, and Segment Duration. Taylor & Francis Group, 2020.
Find full textKarl-Heinz, Best, ed. Häufigkeitsverteilungen in Texten. Göttingen: Peust & Gutschmidt, 2001.
Find full textLöfqvist, Anders. Articulatory coordination in long and short consonants. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198754930.003.0006.
Full textDutoit, Thierry, and Yannis Stylianou. Text-to-Speech Synthesis. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0017.
Full textBook chapters on the topic "Syllable duration"
Reed, Beatrice Szczepek. "Time: Sound and Syllable Duration." In Analysing Conversation, 106–21. London: Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-1-137-04514-0_5.
Full textLyu, Dau-cheng, Ren-yuan Lyu, Yuang-chin Chiang, and Chun-nan Hsu. "Language Identification by Using Syllable-Based Duration Classification on Code-Switching Speech." In Chinese Spoken Language Processing, 475–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11939993_50.
Full textJasir, M. P., Kannan Balakrishnan, and K. U. Jaseena. "Random Forest and AdaBoost-DT: Ensemble Machine Learning Estimators to Model Malayalam Poem Syllable Duration." In Soft Computing: Theories and Applications, 355–65. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0707-4_33.
Full textSchäfersküpper, Paul, and Michael Dames. "Speech Rate and Syllable Durations in Stutterers and Nonstutterers." In Speech Motor Dynamics in Stuttering, 329–35. Vienna: Springer Vienna, 1987. http://dx.doi.org/10.1007/978-3-7091-6969-8_24.
Full textFang, Tian. "Acoustic Durational Properties of Sonorant as Syllable Boundaries in Text-to-Speech Synthesis." In Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 1, 767–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35419-9_90.
Full text"Vowel Duration, Syllable Quantity, and Stress in Dutch." In The Nature of the Word. The MIT Press, 2008. http://dx.doi.org/10.7551/mitpress/7894.003.0012.
Full textGussenhoven, Carlos. "Vowel Duration, Syllable Quantity, and Stress in Dutch." In The Nature of the Word, 180–97. The MIT Press, 2008. http://dx.doi.org/10.7551/mitpress/9780262083799.003.0008.
Full textTurk, Alice, and Stefanie Shattuck-Hufnagel. "The prosodic governance of surface phonetic variation: Support for an alternative approach III." In Speech Timing, 132–45. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198795421.003.0006.
Full textGendrot, Cédric, Martine Adda-Decker, and Fabián Santiago. "Acoustic realization of vowels as a function of syllabic position." In Romance Phonetics and Phonology, 77–88. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198739401.003.0005.
Full textMinkova, Donka. "Examining the Evidence for Phonemic Affricates: Middle English /t͡ʃ/, /d͡ʒ/ or [t-ʃ], [d-ʒ]?" In Historical Dialectology in the Digital Age, 156–84. Edinburgh University Press, 2019. http://dx.doi.org/10.3366/edinburgh/9781474430531.003.0008.
Full textConference papers on the topic "Syllable duration"
Campbell, W. Nick. "Syllable-level duration determination." In First European Conference on Speech Communication and Technology (Eurospeech 1989). ISCA: ISCA, 1989. http://dx.doi.org/10.21437/eurospeech.1989-328.
Full textWakita, Yumi, and Eiichi Tsuboka. "State duration constraint using syllable duration for speech recognition." In 3rd International Conference on Spoken Language Processing (ICSLP 1994). ISCA: ISCA, 1994. http://dx.doi.org/10.21437/icslp.1994-52.
Full textTakizawa, Yumi, and Eiichi Tsuboka. "Syllable duration prediction for speech recognition." In 2nd International Conference on Spoken Language Processing (ICSLP 1992). ISCA: ISCA, 1992. http://dx.doi.org/10.21437/icslp.1992-367.
Full textHamdulla, Askar, Guzalnur Dilmurat, Gulnur Arkin, and Mijit Ablimit. "Statistical Analysis of Syllable Duration of Uyghur Language." In 2019 International Conference on Asian Language Processing (IALP). IEEE, 2019. http://dx.doi.org/10.1109/ialp48816.2019.9037656.
Full textWen-Hsing Lai and Sin-Horng Chen. "Analysis of syllable duration models for Mandarin speech." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1005785.
Full textLai, Wen-Hsing, and Sin-Homg Chen. "Analysis of syllable duration models for Mandarin speech." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5743763.
Full textThemistocleous, Charalabos. "Focus effects on syllable duration in Cypriot Greek." In 2nd Tutorial and Research Workshop on Experimental Linguistics. ExLing Society, 2019. http://dx.doi.org/10.36505/exling-2008/02/0061/000120.
Full textJokisch, Oliver, Hongwei Ding, Hans Kruschke, and Guntram Strecha. "Learning syllable duration and intonation of Mandarin Chinese." In 7th International Conference on Spoken Language Processing (ICSLP 2002). ISCA: ISCA, 2002. http://dx.doi.org/10.21437/icslp.2002-528.
Full textFant, Gunnar, Anita Kruckenberg, and Lennart Nord. "Prediction of syllable duration, speech rate and tempo." In 2nd International Conference on Spoken Language Processing (ICSLP 1992). ISCA: ISCA, 1992. http://dx.doi.org/10.21437/icslp.1992-219.
Full textZu, Yiqing, Xiaoxia Chan, Aijun Li, Wu Hua, and Guohua Sun. "Syllable duration and its functions in standard Chinese discourse." In 6th International Conference on Spoken Language Processing (ICSLP 2000). ISCA: ISCA, 2000. http://dx.doi.org/10.21437/icslp.2000-512.
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