Dongotono Speech to Text: Preserving a Language Through AI

Dongotono is a Nilotic language spoken by the Dongotono people in the mountainous region of South Sudan, near the border with Uganda. With an estimated 10,000 speakers, it is one of the many minority languages that face the risk of digital extinction. While the language has a Latin-based orthography developed by missionaries and linguists, its use in writing is limited. Most communication remains oral, and there is a growing need to document and transcribe spoken Dongotono for education, cultural preservation, and accessibility.

Why Accurate Speech to Text for Dongotono Matters

Accurate transcription of Dongotono audio is important for several reasons:

• Preserving oral history: Elders hold traditional knowledge, stories, and songs that are passed down orally. Transcribing them creates a permanent record.
• Language revitalization: Written materials help younger generations learn the language and use it in new contexts.
• Media and communication: Community radio stations, YouTube channels, and church groups can add subtitles to reach a wider audience.
• Linguistic research: Scholars studying Nilotic languages need reliable transcriptions for analysis.

Without a dedicated speech-to-text tool, these tasks require manual transcription, which is time-consuming and expensive. Speechyou offers a solution that is both fast and affordable.

Specific Challenges in Transcribing Dongotono

Dongotono presents several challenges for automatic speech recognition:

• Tonal system: Like many Nilotic languages, Dongotono uses tone to distinguish words. For example, a high tone on a vowel can change the meaning entirely. Most generic ASR systems are not designed to handle tone.
• Vowel length: Short and long vowels are phonemic; misrecognizing them can lead to incorrect words.
• Limited training data: There are few publicly available audio recordings of Dongotono, making it hard to train a robust model. Speechyou uses transfer learning from related languages and augments data with synthetic speech.

Our AI is specifically tuned to these challenges, achieving high accuracy even with limited data.

Use Cases for Dongotono Transcription

Here are some ways people are using Speechyou for Dongotono:

• Oral history projects: NGOs and community groups record interviews with elders and transcribe them for archival purposes.
• Church services: Sermons delivered in Dongotono are transcribed and distributed as text to members who cannot attend.
• Educational content: Teachers create subtitled videos for literacy classes, helping students connect spoken and written forms.
• Language documentation: Linguists build corpora of Dongotono speech for phonetic and grammatical analysis.
• Social media: Young Dongotono speakers create videos with subtitles to share their culture online.

How Speechyou Helps

Speechyou is the only commercial speech-to-text tool that supports Dongotono. It is included in the Solo plan, which means you can transcribe unlimited minutes without paying per minute. The output can be exported as plain text, SRT, or VTT subtitles. The system runs in real time, so you can see the transcription as you speak.

Getting started is simple: upload an audio or video file, select Dongotono as the language, and wait for the transcription. The model improves over time as more users contribute data. For the best results, ensure your recordings are clear and have minimal background noise. If you have multiple speakers, the diarization feature will label who said what.

In a world where most AI tools ignore minority languages, Speechyou is committed to inclusion. By providing accurate speech to text for Dongotono, we help preserve a unique linguistic heritage and empower its speakers in the digital age.