Skip to content

HEAIN-SD-1.0: Policy-Governed Subtitling and Dubbing for Thai on Hybrid Edge AI Nodes

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)
Speech Recognition and Synthesis

Abstract

Automatic dubbing systems now produce intelligible speech, but professional subtitling and dubbing remain constrained by three problems that are seldom addressed together. Expressive delivery has to be directed by people who read the picture; profane or censorable content has to obey rules that differ by country and destination platform; and the recordings that make a system better are the personal data of identifiable voices. This paper introduces HEAIN-SD-1.0, an Application Profile that specifies how a Thai-centered subtitling and dubbing module runs as Layer 3 (Application AI) on HEAIN Core Protocol and the Hybrid Edge AI Node architecture. Four contributions are described. First, a policy-governed autonomy ladder (L0–L3): the system may learn everything about delivery and nothing about what is permitted, because content policy is a separately owned, fail-closed registry selected per destination. Second, a four-part decomposition of dubbed voice, in which timbre comes from the source performance, accent from the standard of professional dubbing teams in the target country, and emotion and rhythm from a producer's direction, realized as retrieval-prompted synthesis over a library of consented professional deliveries. Third, a protocol profile with a session model, a CORE/EDGE zone split, and an uplink whitelist that keeps media on the processing node and sends only records, scores, and small embeddings to the control node. Fourth, an evaluation plan with quality gates fixed before any experiment. The paper reports no experimental results: the profile is an unimplemented design, and every quantity marked as an estimate is a planning value. Keywords: Automatic Dubbing, Subtitling, Thai Language, Voice Cloning, Tonal Languages, Human-in-the-Loop, Content Policy, Edge Computing, Consent Management, Protocol Specification

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#small language model Dataset Open access Oct 2026

Socratic guiding questions in synthetic arithmetic data: matched LoRA runs (revision v2)

Supporting data, adapters, predictions and code for the article *Low-Cost LoRA Fine-Tuning of Small Language Models for Multi-Step Arithmetic Reasoning* by Jake O'Grady, Asena Isik Gürhan, Chee Fong Ting and Effirul Ramlan (University of Galway). We generated 20,000 GSM8K-derived arithmetic problems with step-by-step s...

O'Grady, Jake, Gürhan, Asena Isik, Chee, Fong Ting et al. · 465 citations
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Related blog posts

Microsoft Research Blog Sep 29, 2026

Introducing Quine: An AI research system designed for the complexity of biology

Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. The post Introducing Q…

Microsoft Research Blog Aug 31, 2026

GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models

What if pathology foundation models could do more with less? GigaPath-Flash and GigaTIME-Flash cut computational demands while maintaining strong performance, opening the door to larger studies and broader exploration. The post GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.