Academic ASR training pipeline · Turkic languages

Shared speech recognition for Turkic languages.

A non-commercial training pipeline for universities and researchers. Students record read speech under their instructor’s supervision; the recordings are used to improve transcription models.

01 — Pipeline

What we do

Non-commercial · for research

bilgi.tech is building a shared, non-commercial speech recognition (ASR) training pipeline for universities and researchers.

In the reading panel (data.bilgi.tech), students read assigned texts aloud. The texts to be read are approved by an instructor or reviewer, and every recording goes through an automatic quality check. Recordings that pass are used to improve transcription models.

  1. 01

    Read

    A student reads the text in the panel in their own voice.

  2. 02

    Check

    Each recording is checked automatically (audio level, match with the text); if needed, it is read again.

  3. 03

    Train

    Recordings that pass are used to improve transcription models.

02 — Languages

Language support

What works today and what is planned, kept apart

Supported today

  • KazakhTranscription + reading panel
  • RussianTranscription
  • TurkishReading panel
  • EnglishReading panel

Planned

  • Uzbek
  • Tatar
  • Kyrgyz
  • Azerbaijani
  • Other Turkic languages of the region

These languages are not supported yet. Our goal is to add them.

03 — Join

How to join

Universities and research institutions only

Applications are received through the form and reviewed by our team.

04 — Updates

Updates

News from the project

  1. Transcription demo is online

    A trial version that turns Kazakh audio into text and separates speakers is running at kkasr.bilgi.tech. For now, only people with an account can sign in.

    Details →
  2. The reading panel is open

    The reading panel (data.bilgi.tech) is now open. 30 Kazakh reading texts are ready for the first phase; two universities are taking part.

    Details →
  3. First reading recordings

    Students made their first recordings in the reading panel: about 19 minutes of audio across two texts, from one institution. Recordings go through an automatic quality check.

bilgi.tech · TR

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