Search Results for author: Eva Navas

Found 7 papers, 0 papers with code

Basque Speecon-like and Basque SpeechDat MDB-600: speech databases for the development of ASR technology for Basque

no code implementations LREC 2014 Igor Odriozola, Inma Hernaez, Mar{\'\i}a In{\'e}s Torres, Luis Javier Rodriguez-Fuentes, Mikel Penagarikano, Eva Navas

This paper introduces two databases specifically designed for the development of ASR technology for the Basque language: the Basque Speecon-like database and the Basque SpeechDat MDB-600 database.

speech-recognition Speech Recognition

Strategies to Improve a Speaker Diarisation Tool

no code implementations LREC 2012 David Tavarez, Eva Navas, Daniel Erro, Ibon Saratxaga

This paper describes the different strategies used to improve the results obtained by an off-line speaker diarisation tool with the Albayzin 2010 diarisation database.

BUCEADOR, a multi-language search engine for digital libraries

no code implementations LREC 2012 Jordi Adell, Antonio Bonafonte, Antonio Cardenal, Marta R. Costa-juss{\`a}, Jos{\'e} A. R. Fonollosa, Asunci{\'o}n Moreno, Eva Navas, Eduardo R. Banga

The paper presents the tool functionality, the architecture, the digital library and provide some information about the technology involved in the fields of automatic speech recognition, statistical machine translation, text-to-speech synthesis and information retrieval.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +7

Using an ASR database to design a pronunciation evaluation system in Basque

no code implementations LREC 2012 Igor Odriozola, Eva Navas, Inma Hernaez, I{\~n}aki Sainz, Ibon Saratxaga, Jon S{\'a}nchez, Daniel Erro

The distribution of the scores for erroneous pronunciation has been calculated inserting controlled errors in the dictionary, so that each changed phoneme has been randomly replaced by a phoneme from the same group.

Clustering Speech Recognition

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