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Anna Esposito is Associate Professor in Computer Science in the Department of
Psychology at the
Second University of Naples. She also teach the course 'Laboratory of
Cybernetics' in the Department of
Physics at Salerno University since 1997. She is and has formerly been
affiliated with the department of
Computer Science and Engineering at Wright State University, Dayton, OH, USA
(Nov. 2000-Nov. 2002);
the International Institute for Advanced Scientific Studies (Italy) (since
1995), and the Research Laboratory of Electronics (MIT) (since 1993 as Research
Affiliate), where she developed her Ph.D thesis. She obtained her
Ph.D (1995) in Applied Mathematics and Computer Science at Naples University
'Federico II'. She is author
of over 50 publications on International Journals and on Conference and
Congress Proceedings with peer
review.
Education
PhD in Applied Mathematics and Computer Science, Naples University , Italy .
Title of Ph.D. thesis: Features extraction from speech: the acoustic attributes
of vowels and stop consonants in Italian (in Italian).
Massachusetts Institute of Technology, (MIT, Cambridge ), specialization on
acoustic and perceptual analysis of speech, Speech Communication Group,
Research Laboratory of Electronic (RLE).
"Laurea" with "lode" in Computer Science earned at Salerno University , Italy .
Title of thesis: A study on the behaviour and the learning process of
deterministic neural networks: how to increase their storage capacity (in
Italian).
ACADEMICS
Professor of "Fundamentals of Computer Science" and " Cross-modal analysis of
speech, gestures and emotions through multimedia software tools" within the
Laurea in Psychology at Second University of Naples, Department of Psychology,
Caserta, since 2003;
Professor of "Laboratory of Cybernetic" within the Laurea in Physics program at
Salerno University , Department of Theoretical Physics, since 1997.
Professor within the Master "Advanced Technologies for Information Processing
and Communication" (sponsored by the Italian Government, M.U.R.S.T. D.M. n. 308
of July 3 1995) for the courses: "Digital Signal Processing and Speech";
"Information Theory and Coding"; "Neural Networks" from 1995 to 2000.
Supervisor of several PhD theses, Laurea theses and Project works, in
collaboration with Italian and International Research Institutes, Universities,
and Companies
Research Activity
Emotional Features in Speech Language Results: An acoustic and perceptual
analysis of the emotional state of parents toward their children has been
performed and a recurrent neural network has been implemented for their
classification.
Audio and Multimedia Applications for disabled persons. Results: A Multimedial
Program aimed to help teachers of deaf students.
Acoustic and Perceptual Analysis of Gemination in Italian. Results:The
perceptual and acoustic attributes of the stop consonants in geminate and
non-geminate form have been measured.
Acoustic Analysis of Italian Speech, and more: Results: A set of acoustic
features has been extracted from the spectrum shape analysis of stop consonants
that allow to discriminate among the place of articulation.
The fundamental frequency, the formant frequencies, and the durations were
measured throughout the vocalic portions of a number of phonemically symmetric
Italian consonant-vowel-consonant utterances. Moreover, preliminary studies on
Dysarthic speech were done.
Phonemes Segmentation, Phoneme Recognition, Speech Noise Cancellation and Noise
Source Identification: Results: A set of experiments for classifying phonemes
extracted from TIMIT have been performed. A set of experiments aimed to cancel
noise from speech and to identify the noise source have been performed. A set
of algorithms for text-independent phoneme segmentation have been proposed.
Incremental Learning. Results: A Neural Network Model for function
approximation, based on Incremental Learning has been developed.
Neural Network (theory and applications) and Auditory Processing: Results: A
neural network for speaker adaptation implemented. A new learning paradigm for
neural nets has been developed and applied to implement a parallel neural adder
and a neural network for correcting
and decoding binary linear code. A model of the auditory apparatus was
developed and implemented.
Books Edited
[1h] G. Chollet, M. G. Di Benedetto, A. Esposito, M. Marinaro, 1999. Speech
Processing, Recognition, and Artificial Neural Networks. Springer-Verlag
Publisher.
Recent Pubblications
7] Shengli Fu, R. Gutierrez-Osuna, A. Esposito , Oscar N. Garcia, 2003,
Audio/Visual Mapping with Cross-Modal Hidden Markov Models. In press on IEEE
Transactions on Multimedia.
[6] R. Gutierrez-Osuna, P. Kakumanu , A. Esposito , O. N. Garcia, A. Bojorquez,
J. Castello, I. Rudomin, 2003 . Speech-driven facial animation with realistic
dynamics. In press on IEEE Transactions on Multimedia.
[5] E. Del Pezzo, A. Esposito , F. Giudicepietro, M. Marinaro, M. Martini, S.
Scarpetta , 2003, Seismological discrimination of earthquakes and underwater
explosions using neural networks . Bulletin of the Seismologic Society of
America (BSSA), vol.93, n.1, pp. 215-223.
[4] A. Esposito , E. C. Ezin, M. Marinaro, 2003 Mathematical Modelling of
Passage Dynamic Function. To be published on the Proceedings of
WILF2003,International Workshop on Fuzzy Logic and Application, Napoli, 9-11
October 2003.
[3] A. Esposito, P. D' Andria , 2003. " An adaptive learning algorithm for
ECG noise and baseline drift removal" . In LNCS 2859, WIRN VIETRI 2003, B.
Apolloni, M. Marinaro, R. Tagliaferri Eds, pp. 139-147, Sprinter-Verlag Berlin
Heidelberg.
[2] G. Aversano , A. Esposito, G. Chollet , 2003. " A JAVA T Interface for
Speech Analysis and Segmentation " . In Proceedings of ISCA tutorial and
Research Workshop on Non-linear Speech Processing (NOLISP03), 20-23 May, Le
Croisic , France .
[1] A. Esposito , A. Natale, S. Duncan , D. McNeill , F. Quek , 2003 .
"Relazioni tra le pause nel parlato e le pause nei gesti: una ipotesi di
sincronizzazione". In Proceedings of the V o Congresso Nazionale delle Sezione
di Psicologia Sociale, Bari, Italy, 26-28 Settembre 2003.
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