Automatic understanding of affect in conversation requires models to represent both a speaker’s behaviour and the surrounding interaction. We study whether the most recent partner segment preceding the current target segment adds predictive value in the DaiKon Influence task. Using mean-pooled Whisper-small representat...
Sharath Rao, Alice Baird, J. Clapa et al.· 2026 14th International Conf...· 0 citations
The ACII 2026 DaiKon Influence sub-challenge evaluates segment-level prediction of affective interpersonal influence in dyadic conversation. We study whether Influence models trained on one country-defined cultural group generalize to others, restricting analysis to five countries in the current test-set result bundle:...
Rashish Tandon, Alice Baird, J. Clapa et al.· 2026 14th International Conf...· 0 citations
The Real World Voice EQ Bench is introduced, a multidimensional benchmark for evaluating voice AI across text-to-speech (TTS), speech-to-speech (STS), speech understanding (SU), and automatic speech recognition (ASR), showing that performance is highly dimension-specific.
David Ayllón, Alice Baird, Jeffrey A. Brooks et al.· arXiv.org· 2 citations
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