Exploration of Acoustic Features for Automatic Vowel Discrimination in Spontaneous Speech

exploration of acoustic features for automatic vowel discrimination in spontaneous speech?

Exploration of Acoustic Features for Automatic Vowel Discrimination in Spontaneous Speech
Author: Na’im R. Tyson
Publisher: The Ohio State University
Publication date: 2012
Number of pages: 261
Format / Quality: pdf
Size: 4,4MB

In an attempt to understand what acoustic/auditory feature sets motivated transcribers towards certain labeling decisions, I built machine learning models that were capable of discriminating between canonical and non-canonical vowels excised from the Buckeye Corpus. Specifically, I wanted to model when the dictionary form and the transcribed-form of a vowel would match one another. I defined the transcribed-form of a vowel as an intended production from a speaker X labeled as Y by a transcriber. With specific acoustic/auditory feature sets extracted from a vowel, a pattern recognizer was used to produce a result indicating if the transcribed-form is an example of a citation form of a vowel.

Download
Password: uztranslations


Leave a Comment

Translate »