Ormuri Speech to Text: Preserving an Endangered Iranian Language with AI

Ormuri (اورمړی) is a little-known Western Iranian language spoken by an estimated 1,000 to 2,000 people in the Logar province of Afghanistan and the Kaniguram area of Pakistan. It belongs to the Pamir subgroup of Iranian languages, sharing features with Pashto and Wakhi, but it is distinct enough to be considered a separate language. Ormuri is classified as severely endangered by UNESCO, and its speakers are often bilingual in Pashto or Dari. The language is written in a modified Arabic script, and its oral tradition is rich with folktales, songs, and poetry.

Why Accurate Speech-to-Text Matters for Ormuri

For a language with so few speakers, every tool that helps document and use it is precious. Speech-to-text technology allows Ormuri speakers to:

• Transcribe oral history recordings for archiving and research.
• Create subtitles for videos, making them accessible to deaf community members and learners.
• Convert audio content into text for easy searching and indexing.
• Support language learning by providing written forms of spoken material.

Without AI transcription, these tasks would require manual effort that is time-consuming and expensive. Speechyou fills this gap with an affordable, accurate solution.

Specific Challenges in Transcribing Ormuri

Script and Orthography

Ormuri uses the Arabic script with additional letters like ړ (retroflex r) and ډ (retroflex d). Short vowels are often omitted, leading to ambiguous spellings. The lack of a fully standardized orthography means that the same word can be written in multiple ways. Speechyou's model is trained on a variety of orthographic forms to handle this variability.

Phonology

Ormuri has retroflex consonants, which are rare in the training data of most ASR systems. It also distinguishes vowel length (e.g., short /a/ vs. long /ā/). These features require a specialized acoustic model. Speechyou fine-tunes its model on Ormuri speech samples to capture these nuances.

Dialectal Variation

Two main dialects exist: Logar Ormuri in Afghanistan and Kaniguram Ormuri in Pakistan. They differ in pronunciation and vocabulary. Speechyou's training data includes both, so the model can handle both varieties with reasonable accuracy.

Code-Switching

Ormuri speakers frequently mix in Pashto or Dari words, especially for modern concepts. Speechyou's multilingual capability allows it to identify and transcribe code-switched segments correctly.

Use Cases for Ormuri Transcription

Podcasts and Audio Content

Ormuri podcasters can use Speechyou to generate transcripts of their episodes, enabling searchability and repurposing for blog posts or social media.

Video Subtitles

Documentary filmmakers and community videographers can add subtitles to Ormuri-language videos, reaching a wider audience and complying with accessibility standards.

Academic Research

Linguists studying Iranian languages can transcribe field recordings quickly, freeing up time for analysis. Speechyou's editor allows for manual corrections, ensuring high-quality transcripts.

Oral History Preservation

Elders in the Ormuri community hold valuable knowledge about traditions, medicine, and history. Transcribing these recordings ensures they are not lost.

Language Learning

Learners can use transcripts alongside audio to improve reading and listening skills. Teachers can create materials for classroom use.

How Speechyou Helps

Speechyou is one of the few platforms that actively supports Ormuri. Our AI model is continuously improved as more users transcribe Ormuri audio. We offer:

• High accuracy (over 95% on clear speech)
• Support for Arabic script output
• SRT and VTT subtitle export
• Unlimited transcription in the Solo plan
• Easy-to-use editor for corrections

Try Speechyou for Ormuri today and help preserve this beautiful language for future generations.