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Distributional Metrics for Evaluating Spoken Conversational Systems
Shree Harsha Bokkahalli Satish, Erica Cooper, Patrícia Schmidtová +4
Evaluating conversational systems is a difficult and unresolved problem. We introduce the Conversational Distribution Score (CDS), which compares distributions of conversational be…
The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs
Shree Harsha Bokkahalli Satish, Christoph Minixhofer, Maria Teleki +5
Speech Large Language Models (SpeechLLMs) process spoken input directly, retaining cues such as accent and perceived gender that were previously removed in cascaded pipelines. This…
Lost in Phonation: Voice Quality Variation as an Evaluation Dimension for Speech Foundation Models
Harm Lameris, Shree Harsha Bokkahalli Satish, Joakim Gustafson +1
Recent advances in Speech Foundation Models (SFMs) enable direct processing of raw audio, allowing models to respond to subtle paralinguistic variation. However, how these models i…
When Voice Matters: Evidence of Gender Disparity in Positional Bias of SpeechLLMs
Shree Harsha Bokkahalli Satish, Gustav Eje Henter, Éva Székely
The rapid development of SpeechLLM-based conversational AI systems has created a need for robustly benchmarking these efforts, including aspects of fairness and bias. At present, s…