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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1...86 87 88 89 90 Hits 1.781 – 1.798 of 1.798 1781 Acoustic Analysis of Female Voice during Mousmita Devi; Laba Thakuria; Purnendu Acharjee... In: http://www.ijser.org/researchpaper/Acoustic-Analysis-of-Female-Voice-during-Menstruation-cycle.pdf BASE Show details 1782 Balancing up Efficiency and Accuracy in Translation Retrieval Timothy Baldwin; Hozumi Tanaka In: http://lingo.stanford.edu/pubs/tbaldwin/jnlp-journal01.pdf BASE Show details 1783 Display Unit for Bangla Characters Mohammad Osiur Rahman; Mohammad Aktaruzzaman Khan In: http://banglajol.info/index.php/IIUCS/article/download/2856/2370/ BASE Show details 1784 Russian orthography and learning to read Eugenia Kerek; Pekka Niemi In: http://nflrc.hawaii.edu/rfl/April2009/articles/kerek.pdf BASE Show details 1785 THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS In: http://www.gavo.t.u-tokyo.ac.jp/~mine/paper/PDF/2003/SP2002-179_p1-6_t2003-3.pdf BASE Show details 1786 iSCAN: A Phoneme-based Predictive Communication Aid for Nonspeaking Individuals Ha Trinh; Annalu Waller; Keith Vertanen... In: http://pokristensson.com/pubs/TrinhEtAlASSETS2012.pdf BASE Show details 1787 Attitude Literacy Linguistic factors? Toddlers ’ language development across some languages Swedish Danish Eric Vedder; Jan Van Hove In: http://www.let.rug.nl/~gooskens/pdf/pres_iclave_2009.pdf BASE Show details 1788 iSCAN: A Phoneme-based Predictive Communication Aid for Nonspeaking Individuals Ha Trinh; Annalu Waller; Keith Vertanen... In: http://www.keithv.com/pub/iscan/iSCAN_Final.pdf BASE Show details 1789 Rule-based Korean Grapheme to Phoneme Conversion Using Sound Patterns a Yu-chun Wang A; Richard Tzong-han Tsai B In: http://www.aclweb.org/anthology-new/Y/Y09/Y09-2049.pdf BASE Show details 1790 ShakerVis: Visual Analysis of Segment Variation of German Translations of Shakespeare’s Othello Zhao Geng; Tom Cheesman; Robert S. Laramee... In: http://cs.swansea.ac.uk/~csbob/research/textVis/geng13shakerVis.pdf BASE Show details 1791 Pronouncing Anglicisms: On the difficulty experienced by English-dominant learners of German Shantz, Kailen. - : University of Alberta BASE Show details 1792 A phonologically calibrated acoustic dissimilarity measure Coleman, John S.; Kochanski, Greg P.; Baghai-Ravary, Ladan BASE Show details 1793 Using genre-specific features for patent summaries Codina Filbà, Joan; Bouayad-Agha, Nadjet; Burga Díaz, Alicia. - : Elsevier BASE Show details 1794 Hand gestures facilitate the acquisition of novel phonemic contrasts when they appropriately mimic target phonetic features Xi, Xiaotong; Li, Peng; Baills, Florence. - : American Speech-Language-Hearing Association BASE Show details 1795 Variability in L2 phonemic learning originates from speech-specific capabilities: an MMN study on late bilinguals Díaz Menéndez, Begoña, 1979-; Mitterer, Holger; Broersm, Mirjam. - : Cambridge University Press BASE Show details 1796 Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions Gong, Rong; Serra, Xavier. - : International Speech Communication Association (ISCA) Abstract: Comunicació presentada a: Interspeech 2018, celebrada del 2 al 6 de setembre de 2018 a Hyderabad, India. ; In this paper, we tackle the singing voice phoneme segmentation problem in the singing training scenario by using language independent information – onset and prior coarse duration. We propose a two-step method. In the first step, we jointly calculate the syllable and phoneme onset detection functions (ODFs) using a convolutional neural network (CNN). In the second step, the syllable and phoneme boundaries and labels are inferred hierarchically by using a duration-informed hidden Markov model (HMM). To achieve the inference, we incorporate the a priori duration model as the transition probabilities and the ODFs as the emission probabilities into the HMM. The proposed method is designed in a language-independent way such that no phoneme class labels are used. For the model training and algorithm evaluation, we collect a new jingju (also known as Beijing or Peking opera) solo singing voice dataset and manually annotate the boundaries and labels at phrase, syllable and phoneme levels. The dataset is publicly available. The proposed method is compared with a baseline method based on hidden semi-Markov model (HSMM) forced alignment. The evaluation results show that the proposed method outperforms the baseline by a large margin regarding both segmentation and onset detection tasks. ; This work is supported by the CompMusic project (ERC grant agreement 267583). Keyword: Convolutional neural network; Duration-informed hidden Markov model; Multi-task learning; Onset detection; Phoneme segmentation; Singing voice URL: https://doi.org/10.21437/Interspeech.2018-1224 http://hdl.handle.net/10230/37115 BASE Hide details 1797 Epenthetic plosives in English: phonetic and phonological aspects Akamatsu, Tsutomu. - : Universidade de Santiago de Compostela. Servizo de Publicacións e Intercambio Científico BASE Show details 1798 Mantenimiento y elisión de la /d/ intervocálica en el español de Valencia Gómez Molina, José Ramón; Gómez Devís, Mª Begoña. - : Universidade de Santiago de Compostela. Servizo de Publicacións e Intercambio Científico BASE Show details Page: 1...86 87 88 89 90

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