Výsledky vyhledávání - "Matassoni, M."

ETLT 2021: Shared task on automatic speech recognition for non-native children’s speech

Autor: Gretter, R, Matassoni, M, Falavigna, D, Misra, A, Leong, CW, Knill, K, Wang, L

The paper presents the Second ASR Challenge for Non-native Children’s Speech proposed as a Special Session at Interspeech 2021, following the successful first challenge at Interspeech 2020. The goal of the challenge is to advance research on non na

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d5279cc2a738a48b45f619c8ff487a84

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Akademický článek

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Authoring OWL 2 Ontologies with the TEX-OWL Syntax

Autor: Matassoni, M., Marco Rospocher, Dragoni, M., Bouquet, P.

Publikováno v: Scopus-Elsevier

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7d6384bd0dffdfa0ff5a0f6fe5fbd48a
http://hdl.handle.net/11562/990160

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TEX-OWL: a Latex-Style Syntax for Authoring OWL 2 Ontologies

Autor: Matassoni, M., Marco Rospocher, Dragoni, M., Bouquet, P.

Publikováno v: Scopus-Elsevier

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7b14d81432e4fdfa8656020795e522c0
http://hdl.handle.net/11562/990175

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Efficient time delay estimation based on cross-power spectrum phase

Autor: Matassoni, M., Piergiorgio Svaizer

Publikováno v: Scopus-Elsevier

Publication in the conference proceedings of EUSIPCO, Florence, Italy, 2006

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3df8ad92579a5889457dc7ee43f810c9

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Towards Speaker and Environmental Robustness in ASR: The HIWIRE Project

Autor: Potamianos, Alexandros, Bouselmi, Ghazi, Dimitriadis, Dimitrios, Fohr, Dominique, Gemello, Roberto, Illina, Irina, Mana, Franco, Maragos, Petros, Matassoni, M., Pitsikalis, Vassilis, Ramirez, J., Sanchez-Soto, E., Segura, J., Svaizer, P.

Publikováno v: SRIV'06 ITRW on Speech Recognition and Intrinsic Variation
SRIV'06 ITRW on Speech Recognition and Intrinsic Variation, May 2006, Toulouse, France

In this paper, we present algorithms for dealing with variability and mismatch in speech recognition due to environmental conditions and non-native speaker populations. The proposed algorithms cover a broad spectrum of ideas including robust feature

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::26e5e4f5d4eef3788eb0dcad4d89954b
https://hal.science/hal-00110502/file/hiwire_sriv06.pdf

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