Computer Scientist II, Speech Technology and Research Laboratory
Jennifer Smith is a computer scientist in SRI’s Speech Technology and Research (STAR) Laboratory. She contributes to research in speech analytics in multiple ways, from statistical analysis to data collection and data visualization to machine learning.
Prior to joining SRI, Smith worked in non-profit administration at a think tank focused on international human rights law.
Smith earned an M.S. in statistics from California State University, East Bay. She holds a B.A. in women’s studies and a minor in mathematics from Mills College.
Recent publicationsmore +
This study demonstrates that a speech-based algorithm can objectively differentiate PTSD cases from controls.
To address the challenge of mapping characteristics of individuals’ speech to information about the group, we coded behavioral and learning-related indicators of collaboration at the individual level.
We describe the methodology for the collection and annotation of a large corpus of emotional speech data through crowdsourcing.
We predict HR from speech using the SRI BioFrustration Corpus.In contrast to previous studies we use continuous spontaneous speech as input.
This work investigates whether nonlexical information from speech can automatically predict the quality of small-group collaborations. Audio was collected from students as they collaborated in groups of three to solve…
This study investigates whether automatic audio- based monitoring of interactions can predict collaboration quality.