Tigrinya Audio Transcription Built for the Horn of Africa
Until now, Tigrinya audio has been ignored by mainstream speech software. Andebet delivers enterprise-grade transcription for Tigrinya with multi-speaker separation, word-level timestamps, and authentic Ge'ez fidel orthography.
45 free minutes on signup · Telebirr & CBE Birr supported · Instant export to DOCX, SRT, VTT & JSON
Agricultural Water Management & Irrigation Interview (Mekelle, Tigray)
Tigrinya (ትግርኛ) • Central Tigray • 01:25
ኣብዚ ዓመት እዚ ዝተሰርሑ ሓደስቲ ሓጽብታት ማይ ኣብ ሕርሻ ዘምጽእዎ ለውጢ ከመይ ይመስል? ሓረስቶት ከመይ ይጥቀሙሉ ኣለዉ?
“How has the change brought by the new water dams constructed this year impacted agriculture? How are farmers using them?”
ማይ ኣብ ቀረባና ብምህላዉ ኣብ ዓመት ክልተ ግዜ ምህርቲ ንኽንረክብ ኣኽኢሉና ኣሎ። ብፍላይ ቀረብ መስኖ ንኣሕምልቲ ዓቢይ ረብሓ ሂቡና።
“Having water close to us has enabled us to yield crops twice a year. Especially irrigation supply for vegetables has given us tremendous benefit.”
What is Tigrinya Audio Transcription & Speech Recognition?
Tigrinya audio transcription converts spoken Tigrinya voice recordings, broadcast news, panel discussions, and qualitative field interviews into written text formatted in authentic Ge'ez fidel orthography. Spoken by over 10 million people across Eritrea and Northern Ethiopia (Tigray), Tigrinya possesses unique Semitic phonological properties, including distinct pharyngeal consonants, glottalic ejectives, and specific spirantized fidel characters like the ቐ series that global speech recognition engines fail to recognize. Andebet resolves these low-resource language gaps with dedicated neural acoustic models trained directly on regional Tigrinya accents, including Asmara, Seraye, Mekelle, and Adwa. The platform achieves high word accuracy, clusters distinct speakers with millisecond timestamps, and formats official Ethiopic punctuation marks. Users and developers export timestamped transcripts in Word DOCX, SRT subtitle, and JSON formats for media broadcasting, NGO fieldwork, academic research, and legal documentation without requiring time-consuming manual retyping.
Overcoming the Linguistic Challenges of Tigrinya Audio
Tigrinya features complex Semitic morphology, pharyngeal consonants, and distinct regional phonology. Andebet's neural architecture was designed specifically for these acoustics.
Complete Tigrinya Fidel Syllabary
Full orthographic support for all 35 consonant series in Tigrinya, including the distinctive ejective and spirantized sounds (ቐ series) and palatals.
Speaker Diarization & Identification
Distinguishes between multiple speakers in focus groups, broadcast panels, and interviews, assigning time-coded dialogue tags automatically.
Code-Switching Support
Handles natural code-switching between Tigrinya, Amharic, Arabic, and English common in Horn of Africa conversations and diaspora media.
Parallel English Translation
Instantly translate transcribed Tigrinya audio into fluent English, complete with synchronized sentence-level timecodes for researchers.
From Spoken Tigrinya to Formatted Transcripts
A streamlined 4-step workflow designed for researchers, humanitarian teams, and media organizations.
Upload Audio Recording
Upload WAV, MP3, M4A, or video files up to 2GB. Supports field recorder audio, phone interviews, and broadcast archives.
All major audio formats
Neural Transcription Engine
Our dedicated Tigrinya acoustic model processes the audio, distinguishes speakers, and generates Ge'ez fidel orthography.
Processes 1 hr in under 2 mins
Review with Synced Audio
Click any Ge'ez word to jump to that exact millisecond in the audio playback. Easily edit spelling or rename speakers.
Interactive audio workspace
Export & Share
Download verified transcripts as DOCX, TXT, PDF, SRT subtitles, or JSON with word-level timestamps and speaker tags.
Export ready for NVivo or Word
Who Uses Andebet Tigrinya Transcription?
Powering research, humanitarian documentation, and broadcast journalism across the Horn of Africa.
Humanitarian & NGO Researchers
UN agencies, international development, civil societyTranscribe community assessments, beneficiary interviews, and post-conflict recovery evaluations in Tigray and regional communities.
Academic Researchers & Historians
Universities, anthropologists, oral history archivesDocument oral histories, cultural traditions, and socio-economic fieldwork with verbatim acoustic provenance.
Broadcast Media & Journalists
Tigrinya radio stations, television networks, podcastsGenerate verified interview quotes, news captions, and video subtitles in hours instead of days.
Legal & Court Transcription
Legal aid organizations, community courts, human rights documentationCreate certified, timestamped transcripts of witness statements and legal hearings with full acoustic verification.
Frequently Asked Questions: Tigrinya Audio Transcription
Dialects, accuracy, writing systems, and data privacy.
Unlike global models that treat Tigrinya as a low-resource afterthought with little training data, Andebet was trained specifically on native Horn of Africa audio. It delivers verbatim Ge'ez fidel output on broadcast audio and robust performance on field recordings with background noise.
Our model natively outputs the full Tigrinya Ge'ez fidel syllabary including all regional letters (ቐ, ሸ, ቸ, ኘ, ዠ, ጀ) and traditional punctuation marks (፡, ፣, ፤, ።).
Yes! You can export your transcripts in Microsoft Word (.docx) or plain text formatted specifically for direct import into qualitative data analysis software like NVivo, ATLAS.ti, and MAXQDA.
We adhere to strict data confidentiality standards. All uploads are encrypted with TLS 1.3 and AES-256 at rest. Sensitive research and legal recordings are never used to train public models.
Related Ethiopian & Horn of Africa Speech AI
Tigrinya Speech Recognition Engine
Technical overview of our Tigrinya acoustic models and speech recognition architecture.
APITigrinya Speech-to-Text ASR
Developer API and ASR model specifications for Tigrinya audio.
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SolutionQualitative Research Transcription
Audio search, thematic coding, and timestamped quote verification for researchers.
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