Chakali Speech to Text: Preserving a Ghanaian Language with AI

Chakali (also known as Cakali or Chakali) is a Gur language spoken in the Upper West Region of Ghana, primarily around the Wa East District. With an estimated 5,000 to 10,000 speakers, it is a minority language that faces challenges typical of small languages: limited written materials, few digital resources, and a risk of gradual language shift. However, modern speech-to-text technology offers new opportunities for documentation, education, and media production.

Why Speech-to-Text for Chakali?

Accurate transcription of spoken Chakali is essential for several reasons:

• Preservation of oral traditions: Elders hold a wealth of knowledge in stories, proverbs, and historical accounts that are rarely written down.
• Literacy and bilingual education: Written Chakali materials support mother-tongue instruction in schools.
• Media accessibility: Chakali radio programs and community videos can reach wider audiences with subtitles.
• Language research: Linguists need reliable transcripts for analysis of tone, grammar, and discourse.

Transcription Challenges Specific to Chakali

Chakali presents unique hurdles for automatic speech recognition:

• Tone: The language uses three level tones (high, mid, low) that change word meanings. For example, sɛbɛ with high tone means 'write', while sɛbɛ with low tone means 'book'. ASR systems that ignore tone will produce confusing results.
• Limited training data: Publicly available Chakali speech corpora are tiny compared to major languages. Speechyou overcomes this through transfer learning from related Gur languages and active community data collection.
• Orthographic variation: Because Chakali literacy is relatively new, writers may use different spellings for the same word (e.g., chakali vs. cakali). Speechyou's model is trained to recognize common variants and allows user-defined spelling preferences.

How Speechyou Handles These Challenges

Speechyou's Chakali model is built with these specific issues in mind. The acoustic model includes tone-sensitive features that map pitch contours to tonal categories. The language model is trained on a carefully curated corpus that includes dialectal variations and multiple orthographic conventions. Users can also upload their own glossaries to enforce preferred spellings.

Use Cases in the Chakali Community

• Oral history preservation: Record and transcribe interviews with elders for archives or community books.
• Religious and church use: Transcribe sermons in Chakali for distribution to absent members or for translation into English.
• Local radio: Convert Chakali radio programs into text for online publication or as a basis for news summaries.
• Education: Create subtitles for instructional videos in Chakali, helping children learn in their mother tongue.
• Social media: Add Chakali subtitles to videos shared on Facebook or WhatsApp, increasing engagement.
• Research: Linguists can quickly generate transcripts of field recordings for analysis.

Getting Started with Chakali Speech to Text

Using Speechyou for Chakali is straightforward: upload an audio or video file, select 'Chakali' as the source language, and receive a transcription within minutes. The output can be exported as plain text, SRT, or VTT subtitles. You can also translate the subtitles into English, French, or any of the 100+ supported languages.

The Solo plan includes unlimited transcription minutes, making it cost-effective for individuals and small organizations. For larger projects, team plans offer collaboration features and priority processing.

The Future of Chakali in the Digital Age

Every Chakali transcript created with Speechyou adds to the language's digital corpus, improving AI models for future users. This virtuous cycle helps ensure that Chakali remains a living, written language for generations to come. Whether you are a community member, a researcher, or a content creator, Speechyou provides the tools to transcribe Chakali audio accurately and efficiently.