Miju Speech to Text: Preserving an Endangered Language with AI

The Miju language, spoken by the Kaman people of Arunachal Pradesh, is a treasure trove of oral tradition. With only around 10,000 speakers, it falls into the UNESCO category of 'definitely endangered'. Yet, in many villages, Miju remains the language of daily life, songs, and storytelling. Until recently, there was no commercial tool that could accurately convert spoken Miju into written text – a barrier to documentation, education, and modern media production.

Why Miju Speech-to-Text Matters

For the Miju community, accurate speech-to-text is more than a convenience. It enables:

• Cultural preservation: Transcribing oral histories and ritual chants before elders pass away.
• Accessible education: Creating textbooks and reading materials in the mother tongue.
• Media independence: Subtitling videos in Miju for YouTube, Facebook, and local TV.
• Linguistic research: Building corpora for grammar and dictionary projects.

Without ASR, each hour of recorded speech must be typed manually – a tedious process that few people have time for. Speechyou's Miju transcription fills this gap by providing a fast, accurate AI alternative.

Challenges in Transcribing Miju

The Miju language presents several hurdles for automatic speech recognition:

• Tonal system: Three distinct lexical tones (high, mid, low) change word meanings. For example, rú (to go) vs. rū (to come). The model must detect subtle pitch contours.
• Vowel length: Words differ based on short vs. long vowels (e.g., bu 'to give' vs. buu 'to swell'). Duration is a key acoustic cue.
• Dialect variation: Central, Northern, and Southern Miju dialects exhibit phonological and lexical differences. The Speechyou model was trained on data from each area to ensure wide coverage.
• Code-switching: Speakers often mix Miju with Assamese, Hindi, or English, especially in urban contexts. The transcription system recognizes languages and outputs text in the corresponding script.

How Speechyou Handles Miju Audio

Speechyou's AI pipeline begins with noise reduction and speaker diarization to clean up field recordings or call conversations. Then, a fine-tuned wav2vec 2.0 model processes the speech, outputting a probability distribution over tonal vowels and consonants. A character-level language model reranks the output according to Miju spelling rules.

Users can upload audio or video files and receive transcripts in minutes. For streaming applications, such as live event captions, the model operates with a latency of under two seconds. The output can be exported as plain text, SRT, or VTT subtitle files, ready to attach to videos.

Use Cases in the Miju Community

1. Documenting Folktales: A local NGO recorded 50 hours of Miju folktales from elders in Kamlang. Using Speechyou, they transcribed the entire corpus in a week, creating a searchable digital archive.
2. School Materials: A primary school in Hayuliang used AI transcription to convert teacher's oral lessons into Miju reading booklets for Grade 1 students.
3. Festival Coverage: During the Tamladu festival, organizers generated real-time captions for live streams, reaching both Miju speakers and non-Miju viewers.
4. Genealogy Research: Community historians transcribed interviews with clan elders, preserving lineage information in text form.

The Future of Miju in the Digital Age

As the Miju-speaking population engages more with smartphones and social media, the demand for written content in their language grows. Speechyou's Miju speech-to-text empowers speakers to create that content themselves. With ongoing community contributions, we aim to expand the model's vocabulary – especially for agricultural terms, ritual objects, and place names – and to release a dialect-specific version for Northern Miju.

Try Miju speech to text today. Upload an audio file and see how Speechyou converts spoken Miju into accurate, accent-marked text. Whether you are a linguist, educator, or proud Miju speaker, our AI tool helps you turn your voice into a lasting record.