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.

45 free minutes on signup · Telebirr & CBE Birr supported · Instant export to DOCX, SRT, VTT & JSON

Community Development Meeting (Adigrat, Tigray)

Tigrinya (ትግርኛ) • Eastern Tigray • 01:20

SRT • VTT • DOCX
00:00
01:20
ኣቶ ኪዳነ (ኣወሃሃዲ)Active Speaker
00:00 - 00:14

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.”

ወ/ሮ ሮማን (ተወካሊት)
00:15 - 00:30

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.”

Native Fidel
Tigrinya Orthography
Low Latency
Streaming Engine
100%
Ge'ez Fidel Support
45 mins
Free Audio Included
Core Architecture

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.

Phonetic Fidelity

Ejective & Pharyngeal Consonants

Accurately decodes complex consonant articulations including the ejective ቐ and pharyngeal sounds without character substitution.

Zero Orthography Hallucination

Contextual Ge'ez Homophone Resolution

Applies contextual language modeling to distinguish homophones and apply correct Tigrinya grammatical inflection.

Sub-Second Response

Real-Time & Asynchronous API

Stream live audio via WebSocket or submit large audio batches via REST API with automated webhooks on completion.

Regional Robustness

Multi-Dialect Training

Trained on acoustic samples across Tigray (Mekelle, Adigrat, Axum, Shire) and Eritrea (Asmara, Keren, Mendefera).

Workflow & Pipeline

How to Integrate Tigrinya Speech Recognition

Simple REST API and WebSocket protocols that fit into your existing development stack.

01

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

02

Neural Acoustic Decoding

Our neural ASR model decodes audio frames into phoneme representations and aligns language grammar.

Optimized on GPU clusters

03

Ge'ez Orthography Normalization

Transcripts are assembled in standard Ge'ez fidel with punctuation, capitalization, and speaker labels.

Authentic Tigrinya fidel

04

Receive Timestamped JSON

Receive full transcript text, word-level millisecond timestamps, speaker tags, and confidence scores.

Structured API payload

Audiences & Impact

Applications of Tigrinya Speech-to-Text

Powering automated voice pipelines, broadcast transcriptions, and qualitative research.

Broadcast Media Subtitling

Television, radio, YouTube channels

Generate accurate Ge'ez captions and subtitles for Tigrinya broadcasts in minutes.

Field Example: Automated daily news transcriptions for regional media outlets.

Humanitarian & Academic Research

Universities, think tanks, field researchers

Transcribe hundreds of hours of recorded fieldwork interviews and focus groups.

Field Example: Processed 80 hours of post-conflict livelihood recovery interviews.

Voice Assistants & IVR Systems

Telecoms, banks, public services

Enable Tigrinya speakers to navigate interactive voice menus using their native language.

Field Example: Built automated telephone banking menu with sub-second voice recognition.

Legal & Court Transcription

Law firms, human rights organizations

Produce certified, timestamped transcripts of witness statements and legal hearings.

Field Example: Transcribed legal recordings with full audio citation verification.
Search & Guidance

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.

Turn recorded Ethiopian conversations into searchable truth.

Join researchers, media networks, and global organizations extracting structured knowledge from Amharic, Afaan Oromo, and Tigrinya audio.

  • 45 free minutes included
  • No credit card required
  • Instant API & Workspace access
  • Enterprise data sovereignty