http://www.cnr.it/ontology/cnr/individuo/prodotto/ID179448
On the Development of Matched and Mismatched Italian Children's Speech Recognition Systems (Contributo in atti di convegno)
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- On the Development of Matched and Mismatched Italian Children's Speech Recognition Systems (Contributo in atti di convegno) (literal)
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- 2009-01-01T00:00:00+01:00 (literal)
- Alternative label
Cosi P; (2009)
On the Development of Matched and Mismatched Italian Children's Speech Recognition Systems
in INTERSPEECH 2009, Brighton, UK, 6-10 Settembre 2009
(literal)
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ISSN: 1990-9772
Printed Proceedings
IDS Number: BOJ53
ISBN: 978-1-61567-692-7
ISI Web of Science
On the Development of Matched and Mismatched Italian Children's Speech Recognition Systems
Author(s): Cosi, P (Cosi, Piero)
Book Group Author(s): ISCA-INST SPEECH COMMUN ASSOC
Source: INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5 Pages: 576-579 Published: 2009
Times Cited: 0 (from Web of Science)
Cited References: 16 [ view related records ] Citation MapCitation Map
Conference: 10th INTERSPEECH 2009 Conference Location: Brighton, ENGLAND Date: SEP 06-10, 2009
Sponsor(s): Int Speech Commun Assoc
Abstract: While at least read speech corpora are available for Italian children's speech research, there exist many languages which completely lack children's speech corpora. We propose that learning statistical mappings between the adult and child acoustic space using existing adult/children corpora may provide a future direction for generating children's models for such data deficient languages. In this work the recent advances in the development of the SONIC Italian children's speech recognition system will be described. This work, completing a previous one developed in the past, was conducted with the specific goals of integrating the newly trained children's speech recognition models into the Italian version of the Colorado Literacy Tutor platform. Specifically, children's speech recognition research for Italian was conducted using the complete training and test set of the FBK (ex ITC-irst) Italian Children's Speech Corpus (Child It). Using the University of Colorado SONIC LVSR system, we demonstrate a phonetic recognition error rate of 12,0% for a system which incorporates Vocal Tract Length Normalization (VTLN), Speaker-Adaptive Trained phonetic models, as well as unsupervised Structural MAP Linear Regression (SMAPLR).
Accession Number: WOS:000276842800142
Document Type: Proceedings Paper
Language: English
Author Keywords: children; ASR; Italian; adaptation
Reprint Address: Cosi, P (reprint author), CNR, Ist Sci & Tecnol Cogniz, I-00185 Rome, Italy
Addresses:
1. CNR, Ist Sci & Tecnol Cogniz, I-00185 Rome, Italy
E-mail Address: piero.cosi@pd.istc.cnr.it
Publisher: ISCA-INST SPEECH COMMUNICATION ASSOC, C/O EMMANUELLE FOXONET, 4 RUE DES FAUVETTES, LIEU DIT LOUS TOURILS, BAIXAS, F-66390, FRANCE
Web of Science Category: Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic
Subject Category: Computer Science; Engineering
IDS Number: BOJ53
ISBN: 978-1-61567-692-7 (literal)
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- http://www.isca-speech.org/archive/interspeech_2009/ (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- 10th Annual Conference of the International Speech Communication Association (INTERSPEECH 2009) (literal)
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- ISI Web of Science (WOS) (literal)
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- Titolo
- On the Development of Matched and Mismatched Italian Children's Speech Recognition Systems (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-61567-692-7 (literal)
- Abstract
- While at least read speech corpora are available for Italian children's speech research, there exist many languages which completely lack children's speech corpora. We propose that learning statistical mappings between the adult and child acoustic space using existing adult/children corpora may provide a future direction for generating children's models for such data deficient languages. In this work the recent advances in the development of the SONIC Italian children's speech recognition system will be described. This work, completing a previous one developed in the past, was conducted with the specific goals of integrating the newly trained children's speech recognition models into the Italian version of the Colorado Literacy Tutor platform. Specifically, children's speech recognition research for Italian was conducted using the complete training and test set of the FBK (ex ITC-irst) Italian Children's Speech Corpus (ChildIt). Using the University of Colorado SONIC LVSR system, we demonstrate a phonetic recognition error rate of 12,0% for a system which incorporates Vocal Tract Length Normalization (VTLN), Speaker-Adaptive Trained phonetic models, as well as unsupervised Structural MAP Linear Regression (SMAPLR). (literal)
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