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Aggregate arXiv cs.AI 人工智能 31 Aug 2026 - 13:00

SETU: An Agentic Ecosystem for Multilingual, Persona-Aware Communication Coaching

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关键摘要

arXiv:2608.27524v1 Announce Type: new Abstract: Corporate training teams need scalable and explainable tools to improve workforce communication in multilingual settings.…

  • Existing systems often score text, audio, or video in isolation, or pr…
  • This paper presents SETU, an agentic ecosystem for corporate communica…
  • SETU is designed for two scoped scenarios: (i) recruiter-candidate eli…

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正文提要

arXiv:2608.27524v1 Announce Type: new Abstract: Corporate training teams need scalable and explainable tools to improve workforce communication in multilingual settings. Existing systems often score text, audio, or video in isolation, or produce black-box outputs that are difficult to audit for coaching use. This paper presents SETU, an agentic ecosystem for corporate communication coaching aimed at recruiters, frontline sales professionals and training units who prepare for audience specific conversations. SETU is designed for two scoped scenarios: (i) recruiter-candidate eligibility-and-interest calls with persona context and (ii) sales pitches with target-audience adaptation; owing to limited evaluation resources, this paper reports results on scenario (ii) only. The ecosystem decomposes analysis into specialized video, audio-speech, text-relevance, scoring, notification and reporting agents coordinated through trust-aware orchestration. It generates modality-attributed coaching reports for formative training, with human reviewers retaining final judgment. The name SETU (bridge in several Indic languages) reflects the goal of bridging communication gaps across regional languages and audience expectations.

来源:https://arxiv.org/abs/2608.27524

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