Second European Conference on Speech Communication and Technology

Genova, Italy
September 24-26, 1991


BREF, a Large Vocabulary Spoken Corpus for French

Lori F. Larnel, Jean-Luc Gauvain, Maxine Eskenazi

LIMSI-CNRS, Orsay, France

This paper presents some of the design considerations of BREF, a large read-speech corpus for French. BREF was designed to provide continuous speech data for the development of dictation machines, for the evaluation of continuous speech recognition systems (both speaker-dependent and speaker-independent), and for the study of phonological variations. The texts to be read were selected from 5 million words of the French newspaper, Le Monde. In total, 11,000 texts were selected, with selection criteria that emphasisized maximizing the number of distinct triphones. Separate text materials were selected for training and test corpora. Ninety speakers have been recorded, each providing between 5,000 and 10,000 words (approximately 40-70 min. ) of speech.

Full Paper

Bibliographic reference.  Larnel, Lori F. / Gauvain, Jean-Luc / Eskenazi, Maxine (1991): "BREF, a large vocabulary spoken corpus for French", In EUROSPEECH-1991, 505-508.