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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

M. J. Seikavandi

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2 papers indexed here

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Book Open access Oct 2026

Backchannel-Aware Transcription for Multiparty Conversation: ASR Omissions, Acoustic Recovery, and Cross-Corpus Transfer

Collective-state research increasingly treats automatic transcripts as a substitute for raw audio. We show this is not free under one widely used pipeline: WhisperX omits approximately 48% of hand-labeled backchannels (“mm-hmm”, “yeah”) in close-talk multi-party recordings, and the omission replicates across held-out r...

Shan Ahmed Shaffi, M. J. Seikavandi, Anna Obara et al. · 1 citation
#artificial intelligence Book Open access Sep 2026

Pseudo-Label Augmentation for Affect Sensing in Small Collaborative Groups

Physiological affect sensing in naturalistic group interaction is typically limited more by label density than by sensor density: wearable devices produce thousands of time windows, while self-report labels are collected only a few times per session. This paper asks how to mine more supervisory signal from sparsely lab...

M. J. Seikavandi, T. Ignatenko, Fabricio Batista Narcizo et al. · 1 citation

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