Terena Speech to Text: Preserving an Arawakan Language with AI

Terena is a living treasure of the Arawakan language family, spoken by around 10,000 people in the Brazilian state of Mato Grosso do Sul. Despite its relatively small speaker population, the language carries centuries of history, culture, and identity. However, like many indigenous languages, Terena faces challenges in the digital era: limited written resources, low representation in technology, and the risk of language shift to Portuguese. Accurate speech-to-text for Terena can change that, offering a bridge between oral tradition and the digital world.

Where Terena is Spoken

The Terena people primarily live in indigenous territories along the Miranda River, in municipalities such as Aquidauana, Miranda, and Anastácio. There are also communities in the urban peripheries of Campo Grande. The language is used in daily conversation, rituals, and community meetings, though Portuguese increasingly dominates in schools and official contexts. The Terena language has several dialects, including Kinikinau and the now nearly extinct Guaná, which differ in pronunciation and some vocabulary.

Why Accurate Transcription Matters

For Terena speakers, being able to convert spoken words into text means:

• Preservation: Elders' stories, songs, and traditional knowledge can be recorded and stored as text, ensuring they are not lost.
• Education: Bilingual schools can use transcripts to teach reading and writing in Terena alongside Portuguese.
• Media: Podcasts, radio shows, and videos in Terena become searchable and shareable with subtitles.
• Research: Linguists and anthropologists can transcribe interviews faster, accelerating documentation.

Without a reliable speech-to-text tool, these tasks require manual transcription by fluent speakers, which is slow and expensive. Speechyou automates the process, making it accessible to communities and researchers alike.

Transcription Challenges Specific to Terena

Terena presents several hurdles for automatic speech recognition:

• Phonemic vowel length: Words like 'puku' (long) versus 'pukú' (to pull) differ only in vowel length, which many ASR systems ignore.
• Nasal vowels: Terena has nasalized vowels (ã, ẽ, ĩ, õ, ũ) that are crucial for meaning but often misclassified by models trained on oral vowels only.
• Glottalized consonants: Sounds like /kʼ/ and /tʼ/ are rare globally and require specific acoustic features to detect.
• Code-switching: Speakers frequently mix Portuguese words, especially for modern concepts, which can confuse monolingual ASR.

Speechyou's model is fine-tuned on Terena data to handle these features, using techniques like time-delay neural networks and language model adaptation.

Use Cases for Terena Speech-to-Text

Podcasts and Radio

Indigenous radio stations like Rádio Terena can transcribe their programs to create text archives and publish online articles. This increases the reach of their content and provides a written record for listeners who may have missed a broadcast.

Educational Content

Teachers in indigenous schools can record lessons in Terena and use Speechyou to generate transcripts and subtitles. This supports literacy development and helps students see their language in written form, reinforcing learning.

Oral History Preservation

Community projects aimed at recording elders can use Speechyou to transcribe interviews automatically. The resulting texts can be stored in digital libraries, used for language revitalization, and even printed as books.

Video Subtitling

YouTube channels and social media pages that share Terena-language videos can add SRT subtitles, making the content accessible to deaf speakers of Terena (who rely on written text) and to learners. Subtitles also improve search engine visibility.

Legal and Administrative Use

In some municipalities, Terena speakers have the right to use their language in official settings. Speechyou can transcribe meetings or dictations, helping to document proceedings in the native language.

How Speechyou Helps

Speechyou is designed with low-resource languages in mind. For Terena, it offers:

• A dedicated ASR model that achieves over 95% word accuracy on clean audio.
• Support for the standard Latin orthography used by the Terena community.
• Export to SRT and VTT subtitle formats for video platforms.
• A simple web interface that requires no technical skills.
• Fine-tuning capability to adapt to specific dialects or recording conditions.

Unlike general-purpose tools like Google Speech-to-Text or Amazon Transcribe, which do not support Terena at all, Speechyou provides a ready-to-use solution. And unlike open-source models like Whisper, which need extensive setup and still lack Terena training, Speechyou offers a polished experience with ongoing improvements.

The Future of Terena in the Digital Age

As more Terena speakers gain access to smartphones and the internet, the demand for digital tools in their language will only grow. Speech-to-text is a foundational technology that enables everything from voice typing in Terena to real-time translation. By providing accurate transcription today, Speechyou helps ensure that Terena remains a living, vibrant language for generations to come.

Whether you are a linguist documenting a disappearing dialect, a teacher creating bilingual materials, or a community member wanting to share your stories, Speechyou gives you the power to turn spoken Terena into text with just a few clicks.