The LaMIT database: A read speech corpus for acoustic studies of the Italian language toward lexical access based on the detection of landmarks and other acoustic cues to features
Maria-Gabriella Di Benedetto,
Stefanie Shattuck-Hufnagel,
Jeung-Yoon Choi,
Luca De Nardis,
Javier Arango,
Ian Chan,
Alec DeCaprio,
Sara Budoni
Affiliations
Maria-Gabriella Di Benedetto
Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Via Eudossiana 18, Rome 00184, Italy
Stefanie Shattuck-Hufnagel
Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Jeung-Yoon Choi
Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Luca De Nardis
Corresponding author.; Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Via Eudossiana 18, Rome 00184, Italy
Javier Arango
Radcliffe Institute for Advanced Study, Harvard University, 10 Garden St, Cambridge, MA 02138, USA
Ian Chan
Radcliffe Institute for Advanced Study, Harvard University, 10 Garden St, Cambridge, MA 02138, USA
Alec DeCaprio
Radcliffe Institute for Advanced Study, Harvard University, 10 Garden St, Cambridge, MA 02138, USA
Sara Budoni
Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Via Eudossiana 18, Rome 00184, Italy
The LaMIT database consists in recordings of 100 Italian sentences. The sentences in the database were designed so to include all phonemes of the Italian language, and also take into account the typical frequency of each phoneme in written Italian. Four native adult speakers of Standard Italian, raised and living in Rome, Italy, two female and two male, pronounced the sentences in two different recording sessions; two repetitions for each sentence per speaker were therefore collected, for a total of 800 recordings.The database was specifically created for application in the LaMIT project, that focuses on the application to the Italian language of the Lexical Access model proposed by Ken Stevens for American English. The model relies on the detection of specific acoustic discontinuities called landmarks and other acoustic cues to features that characterize each phoneme. Each recording was thus processed to generate a set of labeling files that identify both predicted landmarks and other cues, and actual landmarks/cues. The labeling files, compiled according to the labeling syntax used in the Praat speech processing software, are also made available as part of the LAMIT database.
