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Costas Harizakis

dblp:85/908 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3Graphics, computer vision, multimedia, augmented reality and games · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Speech recognition and synthesis · 70% Transfer learning and domain adaptation · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis
acoustic modeling		 0.112007
Gaussian Mixture Clustering and Language Adaptation for the Development of a New Language Speech Recognition System · IEEE Trans. Speech Audio Process. 2007
Natural language and speech › Speech recognition and synthesis
automatic speech recognition		 0.112007
Gaussian Mixture Clustering and Language Adaptation for the Development of a New Language Speech Recognition System · IEEE Trans. Speech Audio Process. 2007
Machine learning › Transfer learning and domain adaptation
language adaptation		 0.112007
Gaussian Mixture Clustering and Language Adaptation for the Development of a New Language Speech Recognition System · IEEE Trans. Speech Audio Process. 2007
Natural language and speech › Speech recognition and synthesis › automatic speech recognition
multilingual speech recognition		 0.012007
Gaussian Mixture Clustering and Language Adaptation for the Development of a New Language Speech Recognition System · IEEE Trans. Speech Audio Process. 2007

Methods — techniques the papers use, named apart from their topics

language adaptation · 0.1gaussian mixture model · 0.1
YearPublicationVenuePosition
2007 Gaussian Mixture Clustering and Language Adaptation for the Development of a New Language Speech Recognition System
abstract
The porting of a speech recognition system to a new language is usually a time-consuming and expensive process since it requires collecting, transcribing, and processing a large amount of language-specific training sentences. This work presents techniques for improved cross-language transfer of speech recognition systems to new target languages. Such techniques are particularly useful for target languages where minimal amounts of training data are available. We describe a novel method to produce a language-independent system by combining acoustic models from a number of source languages. This intermediate language-independent acoustic model is used to bootstrap a target-language system by applying language adaptation. For our experiments, we use acoustic models of seven source languages to develop a target Greek acoustic model. We show that our technique significantly outperforms a system trained from scratch when less than 8 h of read speech is available
Nikos Chatzichrisafis, Vassilios Diakoloukas, Vassilios Digalakis, Costas Harizakis
 IEEE Trans. Speech Audio Process.4
2004 Rapid acoustic model development using Gaussian mixture clustering and language adaptation
abstract
This work presents techniques for improved cross-language transfer of speech recognition systems to new, previously undeveloped, languages. Such techniques are particularly useful for target languages where minimal amounts of training data are available. We describe a novel method to produce a language-independent system by combining acoustic models from a number of source languages. This intermediate language-independent acoustic model is used to bootstrap a target-language system by applying language adaptation. For our experiments we use acoustic models of seven source languages to develop a target Greek acoustic model. We show that our technique significantly outperforms a system trained from scratch when less than 8 hours of read speech is available.
Nikos Chatzichrisafis, Vassilios Digalakis, Vassilios Diakoloukas, Costas Harizakis
 INTERSPEECH4
2004 Optimal Cache Memory Exploitation for Continuous Media: To Cache or to Prefetch?
Antonis Hondroulis, Costas Harizakis, Peter Triantafillou
 Multim. Tools Appl.2
2000 Efficient speech recognition using subvector quantization and discrete-mixture HMMS
Vassilios Digalakis, Stavros Tsakalidis, Costas Harizakis, Leonardo Neumeyer
 Comput. Speech Lang.3