Gen Speech to Text: Preserving Language and Culture with AI Transcription

Gen (Gɛ̃) is a Gbe language spoken by over a million people in Togo and Benin. As a vital part of West African cultural heritage, accurate transcription of Gen audio and video is essential for education, media, and documentation. Speechyou provides a dedicated Gen speech-to-text engine that converts spoken Gen into written text and generates subtitles in SRT and VTT formats.

Where Is Gen Spoken?

Gen is primarily spoken in the Maritime region of Togo, including the capital Lomé, and extends into the Mono department of Benin. It is the mother tongue of the Gen people, also known as the Mina. The language has several dialects, including Anexo, Glidji, and Kotokoli, each with its own phonetic nuances. Gen is also used as a lingua franca in parts of southern Togo, making it essential for communication and trade.

Why Accurate Gen Transcription Matters

• Education: Schools in Togo use Gen for early literacy programs. Transcribed lessons help children learn to read in their native language before transitioning to French.
• Media: Local radio stations broadcast in Gen, and automatic subtitles make these programs accessible to deaf and hard-of-hearing audiences.
• Cultural Preservation: Elders record oral histories, folktales, and proverbs. Transcription creates a written archive for future generations.
• Business: Entrepreneurs and small businesses use voice notes and meeting recordings in Gen. Converting these to text helps with record-keeping and compliance.

Transcription Challenges in Gen

Gen presents several challenges for automatic speech recognition:

• Tonal System: Gen has three tones (high, mid, low) that distinguish word meanings. For example, "tɔ" (father) vs. "tɔ" (river) differ only by tone. Speechyou's model is trained to detect these tones.
• Nasal Vowels: The language has nasalized vowels like ɛ̃ and ɔ̃, which are often misrecognized by generic ASR. Speechyou handles these accurately.
• Limited Data: As a low-resource language, Gen has fewer training datasets. Speechyou uses transfer learning from related languages like Ewe to improve performance.

How Speechyou Helps

Speechyou's Gen language model is built with state-of-the-art deep learning techniques. Users can upload audio files, record directly, or provide video links. The system transcribes speech in real time or batch mode, and outputs text with optional timestamps. For video subtitles, you can choose between SRT and VTT formats, ready to embed in YouTube, Vimeo, or any video player.

Key Features:

• High accuracy on clean Gen audio (95%+ word error rate on standard recordings)
• Support for multiple dialects and accents
• Noise suppression for field recordings
• Export to SRT, VTT, plain text, or Word documents
• Unlimited transcription included in the Solo plan

Use Cases in Detail

Podcasters and YouTubers

Gen-language content creators can now add subtitles to their videos, reaching a global audience. Speechyou makes it easy to generate captions that improve engagement and discoverability.

Researchers and Linguists

Field linguists working on Gbe languages can transcribe hours of interview data quickly. The tone-aware output helps in phonological analysis.

Community Organizers

For NGOs working in Togo, transcribing meetings and workshops in Gen ensures that all participants have access to written records of decisions and actions.

Accessibility

Deaf individuals who read Gen can follow video content through subtitles, promoting inclusion in media and education.

Conclusion

Gen is a rich, tonal language with a strong oral tradition. With Speechyou, transcribing Gen audio is no longer a barrier. Whether you are preserving culture, educating children, or creating content, our AI-powered speech-to-text tool delivers accurate results in minutes. Start your free trial today and experience the power of Gen language transcription.