Indigenous Language Speech-to-Text (STT) for Cameroon/Africa #49
Description
Introduction
Building a speech-to-text model that supports indigenous languages in Cameroon/Africa. This project aims to fine-tune existing models like OpenAI’s Whisper(The code is open-source) to understand and transcribe local languages that are not currently represented in mainstream STT technologies.
Description
In Cameroon and across Africa, there’s a lack of representation in speech-to-text technologies for indigenous languages. Current STT systems predominantly support international languages like English and French. This lack of accessibility kinda limits the development of apps and services that could cater to local populations, especially in rural areas where indigenous languages are more prevalent.
Relevant Technology
Most existing STT systems, such as Google Speech-to-Text and Whisper, support only a limited number of international languages. While these systems are effective, they do not address the linguistic diversity in regions like Cameroon. As seen on the image below;
ref link: https://github.com/openai/whisper?tab=readme-ov-file
Proposed Solution:
I suggest to fine-tune Whisper with datasets of indigenous languages from Cameroon. This will involve collecting and curating a large dataset of audio samples in these languages, potentially requiring collaboration with local communities and linguistic experts to ensure accuracy and comprehensiveness. The project could also include research into better documenting these languages, which are often not well-represented in written form.
Disclaimer:
This idea draws inspiration from initiatives focused on improving technological accessibility in underrepresented regions and languages.
Complexity
- Beginner - This project requires no or little prior knowledge of the technolog(y|ies) specified to contribute to the project
- Intermediate - The user should have some prior knowledge of the technolog(y|ies) to the point where they know how to use it, but not necessarily all the nooks and crannies of the technology
- Advanced - The project requires the user to have a good understanding of all components of the project to contribute
Required time
- Little work - A couple of days
- Medium work - A week or two
- Much work - The project will take more than a couple of weeks and serious planning is required
Categories
- Mobile app
- IoT
- Web app
- Frontend/UI
- AI/ML
- APIs/Backend
- Voice Assistant
- Developer Tooling
- Extension/Plugin/Add-On
- Design/UX
- AR/VR
- Bots
- Security
- Blockchain
- Futuristic Tech/Something Unique