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My research
My research
My research broadly covers topics in both speech production and perception. I am especially interested in exploring what listeners use in decoding the speech signal and how this relates to their mental representations of language.
A full list of papers can be found here
List of selected presentations can be found here
The goal of DID is to study the inner temporal dynamics of diphthongs across different languages and diphthong types using Tyrolean and Sardinian as the focus languages.
Analyze and describe the vowel systems of Tyrolean German and Campindanese Sardinian
Study the composition and dynamic properties of diphthongs via these two languages
Train forced aligners on these two languages and develop an open science database to facilitate future research in this area
Interspeech_2021_Video.mp4Perception of TTS Speech
Perception of TTS Speech
My other main line of work examines how people perceive speech from voice activated artificially intelligent (AI) assistants (e.g., Amazon's Polly, Apple's Siri) and how this compares to naturally produced speech.
Are differences in perception of text-to-speech (TTS) utterances based in acoustics or another factor?
What are ways we can improve digital assistant voices to be more closely aligned perceptually with natural speech?
Additional projects
Additional projects
Other projects I am involved with include:
The production and perception of vowel mergers in German
Acoustic qualities of soft-d in Danish
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