Transcribing Kati: Bringing a Nuristani Language into the AI Era

Kati (also known as Bashgali or Kativiri) is a Nuristani language spoken primarily in the valleys of Nuristan Province, Afghanistan, and by small communities in Chitral, Pakistan. With an estimated 50,000 speakers, Kati is one of the few surviving members of the Nuristani branch of Indo-Iranian languages. Its unique phonological features, including a tonal system and a rich set of consonants, make it a fascinating subject for linguists and a challenging one for speech technology.

Why Accurate Kati Speech-to-Text Matters

Oral languages like Kati rely heavily on spoken transmission for culture, history, and daily communication. Without written records, much of this knowledge risks being lost. Accurate speech-to-text technology can:

• Transcribe interviews and oral histories for archival purposes.
• Generate subtitles for videos in Kati, making them accessible to deaf community members or speakers of other languages.
• Support language learning by providing written materials.
• Enable researchers to process field recordings efficiently.

Kati transcription is not just about convenience; it is about preservation and revitalization.

The Challenges of Kati ASR

Automatic speech recognition for Kati faces several obstacles:

Tonal distinctions: Kati uses pitch to differentiate meaning. For example, the word for "water" may have a different tone than the word for "tooth." Most ASR systems are not designed for tonal languages, but Speechyou's model has been trained to recognize these tonal patterns.

Phonetic complexity: Kati includes retroflex consonants (e.g., /ʈ/, /ɖ/), uvular stops, and breathy vowels. These sounds must be accurately mapped to the Arabic script, which uses diacritics and modified letters.

Dialectal variation: The three main dialects (Mumviri, Shemtiri, Parun) differ in pronunciation and vocabulary. A transcription tool must be flexible enough to handle these variations without sacrificing accuracy.

Low digital resources: Unlike major languages, Kati has very little transcribed data available for training ASR models. Speechyou uses transfer learning and continuous improvement through user feedback to overcome this limitation.

Practical Use Cases for Kati Transcription

• Podcasts and radio: Kati-language programs on local radio or platforms like YouTube can be transcribed for show notes, captions, or translation.
• Education: Teachers can convert spoken lessons into text for students who are learning to read Kati.
• Oral history projects: NGOs and cultural organizations can document elders' stories in Kati and create searchable archives.
• Social media: Content creators can add subtitles to Kati videos to reach a broader audience.

How Speechyou Helps

Speechyou is one of the few speech-to-text tools that supports Kati out of the box. It offers:

• Transcriptions in the Arabic script with proper diacritics.
• Automatic generation of SRT and VTT subtitle files.
• Support for multiple Kati dialects.
• Translation into over 100 languages for subtitles.
• Unlimited transcription included in the Solo plan.

By using Speechyou, Kati speakers and researchers can save hours of manual work while ensuring high accuracy. The tool adapts to the language's unique features, making it a practical choice for anyone working with Kati audio.

Conclusion

Kati is a precious linguistic heritage, and technology can play a role in its survival. Speechyou's Kati speech-to-text capability empowers speakers, educators, and researchers to transcribe, subtitle, and preserve the language with ease. Whether you are documenting a folk tale, creating educational content, or simply want to convert your voice notes into text, Speechyou provides the accuracy and flexibility needed for this unique language.