no code implementations • 24 Jun 2021 • Maria-Gabriella Di Benedetto, Stefanie Shattuck-Hufnagel, Jeung-Yoon Choi, Luca De Nardis, Javier Arango, Ian Chan, Alec DeCaprio
We build a speech recognizer for Italian based on the principles of Stevens' model of Lexical Access in which words are stored as hierarchical arrangements of distinctive features (Stevens, K. N. (2002).
no code implementations • 25 Jan 2021 • Maria Gabriella Di Benedetto, Stefanie Shattuck-Hufnagel, Luca De Nardis, Sara Budoni, Javier Arango, Ian Chan, Alec DeCaprio
Two types of consonant gemination characterize Italian: lexical and syntactic.
no code implementations • 14 Jan 2021 • Javi Arango, Alec DeCaprio, Sunwoo Baik, Luca De Nardis, Stefanie Shattuck-Hufnagel, Maria Gabriella Di Benedetto
The purpose of this project was to derive a reliable estimate of the frequency of occurrence of the 30 phonemes - plus consonant geminated counterparts - of the Italian language, based on four selected written texts.
no code implementations • 13 Dec 2016 • Xiang Kong, Jeung-Yoon Choi, Stefanie Shattuck-Hufnagel
This paper describes methods for evaluating automatic speech recognition (ASR) systems in comparison with human perception results, using measures derived from linguistic distinctive features.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 10 Nov 2016 • Xiang Kong, Xuesong Yang, Mark Hasegawa-Johnson, Jeung-Yoon Choi, Stefanie Shattuck-Hufnagel
Three consonant voicing classifiers were developed: (1) manually selected acoustic features anchored at a phonetic landmark, (2) MFCCs (either averaged across the segment or anchored at the landmark), and(3) acoustic features computed using a convolutional neural network (CNN).