Experiments on the Construction of a Phonetically Balanced Corpus from the Web

The construction of a speech recognition system requires a recorded set of phrases to compute the pertinent acoustic models. This set of phrases must be phonetically rich and balanced in order to obtain a robust recognizer. By tradition, this set is defined manually implicating a great human effort. In this paper we propose an automated method for assembling a phonetically balanced corpus (set of phrases) from the Web. The proposed method was used to construct a phonetically balanced corpus for the Mexican Spanish language.

• Type: Conference
• Year: 2004
• Where: CICLING
• Authors: Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Dominique Vaufreydaz, Jean-François Serignat
• Keywords: Balanced Corpus, CICLING 2004, Natural Language Processing, Pertinent Acoustic Models, Phonetically