Skip to content

EthnoTranscribe

Работа этнологом, расшифровка, первичный анализ интервью сохранение фонетических особенностей записи, анализ речевой ситуации, картирование материала

Summary

My company, EthnoTranscribe, is developing an AI-powered transcription and analysis platform to help ethnologists and field researchers accurately transcribe, annotate, and map interview materials with phonetic preservation, contextual speech analysis, and geospatial data visualization in one unified workflow.

Problem statement

Customers struggle with manually transcribing and analyzing ethnological field interviews while preserving phonetic nuances and speech context, which causes significant time loss, inconsistent data quality, and difficulty mapping and cross-referencing cultural material.

Solution

EthnoTranscribe provides an integrated platform that automatically transcribes field interview recordings while preserving phonetic features and regional speech characteristics using specialized linguistic AI models. Researchers can then perform primary analysis directly within the tool, tagging speech situations, cultural markers, and contextual metadata. The platform also includes a cartographic module that allows researchers to geographically map and visualize collected material, enabling pattern discovery across regions and communities.

Growth metric

The key metric to focus on is the number of interview hours successfully transcribed and analyzed per month on the platform. To scale this metric to affect 1 million people, the company should partner with universities, ethnological institutes, and cultural heritage organizations to onboard research teams at scale, and develop multilingual and dialect-aware AI models that support a wide range of regional languages and phonetic systems to attract a global research community.