Relevant bibliographies by topics / Acoustic-Articulatory Mapping

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Acoustic-Articulatory Mapping'

Author: Grafiati
Published: 6 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "Acoustic-Articulatory Mapping"

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Zussa, F., Q. Lin, G. Richard, D. Sinder, and J. Flanagan. "Open‐loop acoustic‐to‐articulatory mapping." Journal of the Acoustical Society of America 98, no. 5 (1995): 2931. http://dx.doi.org/10.1121/1.414151.

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Riegelsberger, Edward L., and Ashok K. Krishnamurthy. "Acoustic‐to‐articulatory mapping of fricatives." Journal of the Acoustical Society of America 97, no. 5 (1995): 3417. http://dx.doi.org/10.1121/1.412480.

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Ananthakrishnan, G., and Olov Engwall. "Mapping between acoustic and articulatory gestures." Speech Communication 53, no. 4 (2011): 567–89. http://dx.doi.org/10.1016/j.specom.2011.01.009.

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Sepulveda-Sepulveda, Alexander, and German Castellanos-Domínguez. "Time-Frequency Energy Features for Articulator Position Inference on Stop Consonants." Ingeniería y Ciencia 8, no. 16 (2012): 37–56. http://dx.doi.org/10.17230/ingciencia.8.16.2.

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Acoustic-to-Articulatory inversion offers new perspectives and interesting applicationsin the speech processing field; however, it remains an open issue. This paper presents a method to estimate the distribution of the articulatory informationcontained in the stop consonants’ acoustics, whose parametrizationis achieved by using the wavelet packet transform. The main focus is on measuringthe relevant acoustic information, in terms of statistical association, forthe inference of the position of critical articulators involved in stop consonantsproduction. The rank correlation Kendall coefficient
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Sorokin, V. N., and A. V. Trushkin. "Articulatory-to-acoustic mapping for inverse problem." Speech Communication 19, no. 2 (1996): 105–18. http://dx.doi.org/10.1016/0167-6393(96)00028-3.

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Wu, Zhiyong, Kai Zhao, Xixin Wu, Xinyu Lan, and Helen Meng. "Acoustic to articulatory mapping with deep neural network." Multimedia Tools and Applications 74, no. 22 (2014): 9889–907. http://dx.doi.org/10.1007/s11042-014-2183-z.

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Riegelsberger, Edward L., and Ashok K. Krishnamurthy. "Acoustic‐to‐articulatory mapping of isolated and intervocalic fricatives." Journal of the Acoustical Society of America 101, no. 5 (1997): 3175. http://dx.doi.org/10.1121/1.419149.

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Atal, Bishnu. "A study of ambiguities in the acoustic-articulatory mapping." Journal of the Acoustical Society of America 122, no. 5 (2007): 3079. http://dx.doi.org/10.1121/1.2942998.

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McGowan, Richard S., and Michael A. Berger. "Acoustic-articulatory mapping in vowels by locally weighted regression." Journal of the Acoustical Society of America 126, no. 4 (2009): 2011. http://dx.doi.org/10.1121/1.3184581.

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Schmidt, Anna Marie. "Korean to English articulatory mapping: Palatometric and acoustic data." Journal of the Acoustical Society of America 95, no. 5 (1994): 2820–21. http://dx.doi.org/10.1121/1.409681.

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Dissertations / Theses on the topic "Acoustic-Articulatory Mapping"

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Lo, Boon Hooi. "An acoustic model for speech recognition with an articulatory layer and non-linear articulatory-to-acoustic mapping." Thesis, University of Birmingham, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633225.

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This thesis presents an extended hidden Markov Model (HMM), namely the linear/non-linear multi-level segmental hidden Markov model (linear/non-linear MSHMM). In the MSHMM framework, the relationship between symbolic and acoustic representations of a speech signal is regulated by an intermediate, articulatory-based layer. Such an approach has many potential advantages for speech pattern processing. By modelling speech dynamics directly in an articulatory domain, it may be possible to characterise the articulatory phenomena which give rise to variability in speech. The intermediate representatio
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2

Riegelsberger, Edward L. "The acoustic-to-articulatory mapping of voiced and fricated speech /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu148794750113335.

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Altun, Halis. "Evaluation of neural learning in a MLP NN for an acoustic-to-articulatory mapping problem using different training pattern vector characteristics." Thesis, University of Nottingham, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263405.

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Illa, Aravind. "Acoustic-Articulatory Mapping: Analysis and Improvements with Neural Network Learning Paradigms." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/5525.

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Human speech is one of many acoustic signals we perceive, which carries linguistic and paralinguistic (e.g., speaker identity, emotional state) information. Speech acoustics are produced as a result of different temporally overlapping gestures of speech articulators (such as lips, tongue tip, tongue body, tongue dorsum, velum, and larynx), each of which regulates constriction in different parts of the vocal tract. Estimating speech acoustic representations from articulatory movements is known as articulatory- to-acoustic forward (AAF) mapping i.e., articulatory speech synthesis. While estimati
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Books on the topic "Acoustic-Articulatory Mapping"

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The Acoustic-to-Articulatory Mapping of Voiced and Fricated Speech. Storming Media, 1997.

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Book chapters on the topic "Acoustic-Articulatory Mapping"

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Schoentgen, Jean. "Speech Modelling Based on Acoustic-to-Articulatory Mapping." In Nonlinear Speech Modeling and Applications. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11520153_6.

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Klein, Eugen, Jana Brunner, and Phil Hoole. "Which Factors Can Explain Individual Outcome Differences When Learning a New Articulatory-to-Acoustic Mapping?" In Studies on Speech Production. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00126-1_15.

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Conference papers on the topic "Acoustic-Articulatory Mapping"

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Ibrahimov, Ibrahim, Gábor Gosztolya, and Csaba Zainkó. "Regeneration of Ultrasound Tongue Images using Tongue Position Values towards Articulatory-to-Acoustic Mapping." In 3rd Workshop on Intelligent Infocommunication Networks, Systems and Services. Budapest University of Technology and Economics, 2025. https://doi.org/10.3311/wins2025-006.

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Prado, P. P. L., E. H. Shiva, and D. G. Childers. "Optimization of acoustic-to-articulatory mapping." In [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1992. http://dx.doi.org/10.1109/icassp.1992.226127.

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Potard, Blaise, and Yves Laprie. "Compact representations of the articulatory-to-acoustic mapping." In Interspeech 2007. ISCA, 2007. http://dx.doi.org/10.21437/interspeech.2007-660.

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Jospa, Paul, and Alain Soquet. "The acoustic-articulatory mapping and the variational method." In 3rd International Conference on Spoken Language Processing (ICSLP 1994). ISCA, 1994. http://dx.doi.org/10.21437/icslp.1994-151.

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Ananthakrishnan, G., and Olov Engwall. "Resolving non-uniqueness in the acoustic-to-articulatory mapping." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5947386.

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Toda, Tomoki, Alan Black, and Keiichi Tokuda. "Acoustic-to-articulatory inversion mapping with Gaussian mixture model." In Interspeech 2004. ISCA, 2004. http://dx.doi.org/10.21437/interspeech.2004-410.

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Canevari, Claudia, Leonardo Badino, Luciano Fadiga, and Giorgio Metta. "Relevance-weighted-reconstruction of articulatory features in deep-neural-network-based acoustic-to-articulatory mapping." In Interspeech 2013. ISCA, 2013. http://dx.doi.org/10.21437/interspeech.2013-346.

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Csapó, Tamás Gábor, Csaba Zainkó, László Tóth, Gábor Gosztolya, and Alexandra Markó. "Ultrasound-Based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis." In Interspeech 2020. ISCA, 2020. http://dx.doi.org/10.21437/interspeech.2020-1031.

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Toutios, Asterios, and Konstantinos Margaritis. "A support vector approach to the acoustic-to-articulatory mapping." In Interspeech 2005. ISCA, 2005. http://dx.doi.org/10.21437/interspeech.2005-850.

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Tobing, Patrick Lumban, Hirokazu Kameoka, and Tomoki Toda. "Deep acoustic-to-articulatory inversion mapping with latent trajectory modeling." In 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2017. http://dx.doi.org/10.1109/apsipa.2017.8282219.

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