Active research programme

KCS RESEARCH PROJECT

LinguoMT

Reproducible research for multilingual speech translation and recognition

LinguoMT investigates how multilingual speech and text systems can be evaluated transparently for low-resource African languages. It connects language coverage audits, comparable model paths, controlled experiments, error analysis and publication-ready evidence.

Explore the project architecture

The challenge

Claims of broad multilingual coverage may conceal task-specific gaps, unsupported language routes, dataset alignment problems and failures in either acoustic processing or translation. LinguoMT makes these differences visible before researchers draw conclusions or invest in adaptation.

Research questions

The questions connect the real-world problem with research activities and evaluable contributions.

Which languages and tasks are actually supported by each model and dataset?
How do end-to-end and cascaded architectures behave under comparable conditions?
Which errors arise from speech processing, translation, data quality or language coverage?
When do adaptation, audio preparation or cross-lingual transfer improve results?

The research-project architecture

The LinguoMT architecture connects the project context and research assets with the methods, systems and outcomes required to answer its research questions.

Project architecture: LinguoMT connects real needs and research assets with controlled methods, reusable systems and transferable outcomes. Evaluation and feedback can return the project to an earlier facet.

Research workstreams

Each workstream addresses a distinct part of the project while remaining connected to the shared architecture and questions.

Benchmark

Pilot-scale zero-shot comparison with explicit coverage validation and transparent limitations.

Adaptation

Parameter-efficient strategies for improving selected language and task conditions.

Audio

Analysis of preprocessing, robustness and the influence of acoustic conditions.

Architecture

Comparison of end-to-end systems with cascaded speech-recognition and translation paths.

Transfer

Investigation of cross-lingual adaptation and the role of language relationships.

Project highlights

A modular experiment framework with dataset, model, language, metric and report components.
A diagnostic protocol that separates text translation from the complete speech path.
A corrected and narrowed pilot study demonstrating the value of provenance and alignment checks.
Defined benchmark, adaptation, audio, cascade and transfer research tracks.

Research and supervision

KCS supports students, researchers and supervisors in connecting a relevant problem with appropriate methods, careful evaluation and a clear written or technical result.

Ways to participate or collaborate

Student projects on evaluation, data quality, language coverage and error analysis.
Research collaboration on aligned datasets, new languages and statistically supported evaluation.
Institutional workshops on reproducible multilingual-AI research.
Diagnostic or prototype engagements for organisations evaluating multilingual AI.

ENGAGE WITH KCS

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CONTACT / APPOINTMENTS

Contact / Termine

If you are interested in further information, or have comments or suggestions, please send them using the contact options below.

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You can also contact Prof. Tamla here:

Email: contact@kcslab.org WhatsApp: +49 176 72199023