Abstract
We extended VOICESAUCE (Shue, Keating, and Vicenik, 2009), a Matlab application which provides automated voice measurements over time from audio recordings, to include utilities for command line processing and testing. The command line utilities allow users to access core VOICESAUCE functionality, including batch processing of wave (*.wav) files and parameter manipulation, independently of a graphical user interface. The testing framework provides an automated process for tracking and measuring the effects of manipulating parameter settings across runs. In addition, we modified VOICESAUCE to be compatible with Octave and ported it to Python in order to facilitate use and development from a wider community. We use this software to compare the inclusion of phonation measures in the set of voice source parameters against f0 alone across White Hmong and Cantonese. Phonation, specifically breathy voice, plays a perceptual role in tone identification in both languages; however, in White Hmong, breathy voice is a necessary cue for accurate tonal identification (Garellek et al., 2012) whereas in Cantonese, phonation may facilitate perception but is not critical (Yu, 2011).
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