Siane Speech to Text: Preserving a Papua New Guinea Language with AI

Siane is a tonal language from the Trans-New Guinea family, spoken by about 25,000 people in the Eastern Highlands Province of Papua New Guinea. It is a language rich in oral tradition, used in daily conversation, storytelling, and community ceremonies. However, like many minority languages, Siane faces the risk of language shift towards Tok Pisin and English. Accurate speech-to-text technology can help document and revitalize Siane by making it easier to transcribe spoken content into written form.

Why Accurate Siane Transcription Matters

Creating reliable Siane transcripts is essential for several reasons:

• Preservation of oral histories: Elders hold vast knowledge of traditional medicine, genealogy, and customs that are rarely written down. Transcribing their speech creates a permanent record.
• Education: Children learning to read in Siane benefit from having familiar stories in text form. Teachers can use transcripts to develop literacy materials.
• Media and communication: Local radio stations and podcasters can provide Siane subtitles for their shows, reaching a wider audience including those who are hard of hearing.
• Research: Linguists and anthropologists working in the region can quickly transcribe field recordings instead of laboring over manual transcription.

Challenges in Siane Speech Recognition

Developing a speech-to-text system for Siane comes with unique hurdles:

• Tonal distinctions: Siane uses pitch to differentiate words. For example, the word 'si' with a high tone means 'to cut', while the same word with a low tone means 'to hit'. The ASR model must capture these tonal differences to avoid errors.
• Dialectal variation: The three main dialects (Komo, Siane Proper, Yame) differ in vocabulary and pronunciation. A model trained on one dialect may not work well for another.
• Limited digital data: Unlike English or Chinese, Siane has very few online text or audio resources. Building a training set requires community collaboration and careful fieldwork.

Speechyou addresses these challenges through a specialized training pipeline:

• A prosodic encoder that extracts tonal features from the audio signal.
• Dialect-aware training data that includes samples from all three major dialects.
• Transfer learning from related languages, such as Gahuku or Kamano, to bootstrap the model.

Use Cases for Siane Speech-to-Text

With Speechyou, Siane speakers and content creators can:

• Transcribe community meetings and archive them for future reference.
• Generate SRT subtitles for videos of traditional dances, ceremonies, or instructional content.
• Convert voice notes into text for sharing on social media platforms like WhatsApp or Facebook.
• Produce Siane transcriptions for Bible translation projects, aiding in the creation of written scriptures.
• Create accessible content for deaf or hard-of-hearing community members who read Siane.

How Speechyou Helps

Speechyou is designed to be easy to use, even for non-technical users. You can upload an audio or video file in Siane, select the language, and receive a transcript within minutes. The output includes confidence scores, timestamps, and optional subtitle files in SRT and VTT formats. The Solo plan offers unlimited transcription, making it affordable for individuals and community organizations.

If you are working with Siane audio recordings, whether for language documentation, media production, or education, Speechyou's AI provides a reliable tool to convert speech into text. By supporting low-resource languages like Siane, we help ensure that these voices are not lost in the digital silence.