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Articles 1 - 4 of 4
Full-Text Articles in Phonetics and Phonology
Comparing Deaf Native Signers And Deaf Early Signers With Respect To Phonological Perception, Ian Deandrea-Lazarus
Comparing Deaf Native Signers And Deaf Early Signers With Respect To Phonological Perception, Ian Deandrea-Lazarus
Undergraduate University Honors Capstones
Common criteria for a native ASL signer include exposure to ASL from birth and having Deaf parents. This study questions the necessity of the second criterion by comparing two groups: 16 Deaf adults with Deaf parents and exposed to ASL from birth, and 16 Deaf adults with hearing parents and exposed to ASL before age two. All determined whether pairs of pseudosigns, sometimes differing in phonological details, matched. The two groups did not differ significantly on accuracy, but the first group responded faster than the second group on average. These findings suggest processing differences between the two groups, but otherwise …
Lenition, Naomi Gurevich
A Weighted Finite State Transducer Implementation Of Phoneme Rewrite Rules For English-To-Korean Pronunciation Conversion, Hahn Koo
Faculty Publications
Words change their phonetic as well as orthographic form when they are borrowed and used by speakers of another language. A formal model that properly captures this change has theoretical implications in phonology and practical applications in speech processing and machine transliteration. This paper describes a method for developing a finite- state model that predicts how English words and named entities are pronounced in Korean. The model predicts nativized pronunciation using weighted finite-state transducers implementing context-dependent phoneme rewrite rules derived from English-to-Korean pronunciation pairs and syllable phonotactics in Korean.
Prosodylab-Aligner: A Tool For Forced Alignment Of Laboratory Speech, Kyle Gorman, Jonathan Howell, Michael Wagner
Prosodylab-Aligner: A Tool For Forced Alignment Of Laboratory Speech, Kyle Gorman, Jonathan Howell, Michael Wagner
Department of Linguistics Faculty Scholarship and Creative Works
The Penn Forced Aligner automates the alignment process using the Hidden Markov Model Toolkit (HTK). The core of Prosodylab-Aligner is align.py, a script which performs acoustic model training and alignment. This script automates calls to HTK and SoX, an open-source command-line tool which is capable of resampling audio. The included README file provides instructions for installing HTK and SoX on Linux and Mac OS X, and can also be run on Windows. During training, the model is initialized with flat-start monophones, which are then submitted to a single round of model estimation. Then, a tied-state 'small pause' model is inserted …