Enterprise Speech-to-Text Engine for Tigrinya Audio
Purpose-built neural automatic speech recognition for Tigrinya. Delivers high-accuracy Ge'ez fidel text, millisecond timestamps, and developer-friendly REST and WebSocket APIs.
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Community Development Meeting (Adigrat, Tigray)
Tigrinya (ትግርኛ) • Eastern Tigray • 01:20
እዚ ሓድሽ ናይ ጽሩይ መስተ ማይ ፕሮጀክት ንመላእ ቁሸትና ዘርብሕ ብምዃኑ ኹሉ ሰብ ብሓባር ክሰርሕ ኣለዎ።
“Since this new clean drinking water project benefits our entire village, everyone needs to work together.”
ደቂ ኣንስትዮ ማይ ንምቕዳሕ ርሑቕ መንገዲ ይጓዓዛ ስለ ዝነበራ፡ እዚ ፕሮጀክት ንዓና ዓቢይ ዕረፍቲ እዩ።
“Since women used to travel long distances to fetch water, this project brings tremendous relief for us.”
Acoustic Engineering for Northern Horn of Africa Phonology
Unlike off-the-shelf multilingual models that struggle with Horn of Africa languages, Andebet models Tigrinya's unique phonological inventory natively.
Ejective & Pharyngeal Consonants
Accurately decodes complex consonant articulations including the ejective ቐ and pharyngeal sounds without character substitution.
Contextual Ge'ez Homophone Resolution
Applies contextual language modeling to distinguish homophones and apply correct Tigrinya grammatical inflection.
Real-Time & Asynchronous API
Stream live audio via WebSocket or submit large audio batches via REST API with automated webhooks on completion.
Multi-Dialect Training
Trained on acoustic samples across Tigray (Mekelle, Adigrat, Axum, Shire) and Eritrea (Asmara, Keren, Mendefera).
How to Integrate Tigrinya Speech Recognition
Simple REST API and WebSocket protocols that fit into your existing development stack.
Submit Audio via API
Post audio files or stream live audio frames to our HTTPS/WSS endpoints with your API key.
Supports WAV, MP3, M4A & OGG
Neural Acoustic Decoding
Our neural ASR model decodes audio frames into phoneme representations and aligns language grammar.
Optimized on GPU clusters
Ge'ez Orthography Normalization
Transcripts are assembled in standard Ge'ez fidel with punctuation, capitalization, and speaker labels.
Authentic Tigrinya fidel
Receive Timestamped JSON
Receive full transcript text, word-level millisecond timestamps, speaker tags, and confidence scores.
Structured API payload
Applications of Tigrinya Speech-to-Text
Powering automated voice pipelines, broadcast transcriptions, and qualitative research.
Broadcast Media Subtitling
Television, radio, YouTube channelsGenerate accurate Ge'ez captions and subtitles for Tigrinya broadcasts in minutes.
Humanitarian & Academic Research
Universities, think tanks, field researchersTranscribe hundreds of hours of recorded fieldwork interviews and focus groups.
Voice Assistants & IVR Systems
Telecoms, banks, public servicesEnable Tigrinya speakers to navigate interactive voice menus using their native language.
Legal & Court Transcription
Law firms, human rights organizationsProduce certified, timestamped transcripts of witness statements and legal hearings.
Frequently Asked Questions: Tigrinya Speech Recognition
Technical specifications, latency, and integration.
Andebet is purpose-built for Tigrinya phonology, trained directly on native Horn of Africa audio. It reliably resolves complex phonemic distinctions across clean broadcast speech, telephone calls, and recordings with ambient background noise.
Yes! Our WebSocket streaming API is optimized for low-latency live speech recognition, making it ideal for live broadcast subtitling, call center assistance, and interactive voice agents.
Yes. Every recognized Ge'ez word includes start and end millisecond timestamps, confidence scores, and assigned speaker identification.
Yes. The API supports optional parallel English translation generated directly alongside the Ge'ez transcript.
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APIDeveloper API Documentation
Complete API reference, code examples, and webhook specifications.
Turn recorded Ethiopian conversations into searchable truth.
Join researchers, media networks, and global organizations extracting structured knowledge from Amharic, Afaan Oromo, and Tigrinya audio.
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