Hupla Speech to Text: Preserving a Papuan Language with AI

Hupla is a Trans-New Guinea language spoken by around 30,000 people in the highlands of Papua, Indonesia. It belongs to the Dani language family and is used daily in villages around the Yahukimo Regency. Like many Papuan languages, Hupla is primarily oral, with a growing written tradition supported by missionaries and local literacy programs. The language features a complex phonology with prenasalized consonants (mb, nd, ng, ngg), vowel length distinctions, and a relatively free word order. Accurate speech-to-text technology for Hupla can help preserve oral traditions, support education, and enable digital communication for a community that is increasingly connected through mobile phones and social media.

Why Accurate Hupla Transcription Matters

For a language with limited written resources, transcription is a bridge between spoken heritage and digital preservation. Elders hold knowledge of myths, genealogies, and traditional medicine that is passed down orally. Transcribing these recordings into Hupla text creates a permanent archive that younger generations can access. Additionally, Hupla speakers who are deaf or hard of hearing benefit from subtitles on community videos. Accurate transcription also aids Bible translation efforts, which have been central to literacy in the region. Without reliable speech-to-text, these tasks require painstaking manual work by a small number of trained linguists.

Specific Challenges in Hupla ASR

Hupla presents several challenges for automatic speech recognition:

• Prenasalized stops: Sounds like /mb/, /nd/, /ŋg/ are common and must be distinguished from simple voiced stops. Generic ASR models often merge them.
• Vowel length: Minimal pairs exist, e.g., mba (father) vs. mbaa (to carry). Duration cues are critical.
• Limited training data: Only a few hours of transcribed Hupla audio are publicly available, mostly from Bible recordings.
• Dialectal variation: Central, Eastern, and Western dialects differ in pronunciation and vocabulary.

Speechyou tackles these issues with a custom acoustic model trained on augmented data from multiple dialects, a pronunciation dictionary with prenasalized forms, and a language model that handles vowel length. The result is over 85% word accuracy on clean recordings, with ongoing improvements as more data is collected.

Use Cases for Hupla Speech-to-Text

Oral History Preservation – Record interviews with elders and automatically generate transcripts. These can be stored, searched, and shared with the community. Community Radio – Add Hupla subtitles to news and cultural programs, making them accessible to deaf listeners. Education – Create subtitled instructional videos for schools, helping children learn to read in their mother tongue. Healthcare – Transcribe health talks into Hupla text for distribution in clinics. Social Media – Add Hupla subtitles to Facebook and WhatsApp videos, increasing engagement. Bible Translation – Speed up the transcription of oral scripture readings for translation checking.

How Speechyou Helps

Speechyou offers a dedicated Hupla speech-to-text model that can be used via web app, mobile app, or API. Users upload audio or video files and receive timestamped transcriptions in Hupla, along with SRT or VTT subtitle files. The system supports multiple dialects and allows customization of the output spelling. With the Solo plan, you get unlimited transcription minutes, making it affordable for community projects and NGOs. Speechyou is committed to low-resource languages and works with local linguists to improve accuracy over time.

Getting Started

To transcribe Hupla audio, simply sign up for a Speechyou account, select Hupla as the language, and upload your file. The AI processes the speech and returns a text transcript and subtitles within minutes. You can edit the transcript online, export it in various formats, or share it directly. Whether you are preserving oral history, creating educational content, or making media accessible, Speechyou provides the tools you need to work with Hupla in the digital world.