Analyze Research Interviews with Grounded Audio Intelligence
Search across hundreds of hours of recorded fieldwork, auto-cluster qualitative themes, and verify every finding with sub-second timestamped audio playback. Built natively for Amharic, Afaan Oromo, Tigrinya, and English.
45 free minutes on signup · Telebirr & CBE Birr supported · Instant export to DOCX, SRT, VTT & JSON
Community Health Access Fieldwork (Hawassa & Addis Ababa)
Amharic & English Code-Switching • Medical Fieldwork Corpus • 03:42
በገጠር ጤና ጣቢያዎች ውስጥ የመድኃኒት አቅርቦት እጥረት ሲያጋጥማችሁ ታካሚዎች ወደ ከተማ ለመሄድ ምን ያህል ይቸገራሉ?
“When rural health posts face pharmaceutical shortages, how difficult is it for patients to travel to the city?”
ዋናው ችግር የትራንስፖርት ወጪ እና የመንገድ ሁኔታ ነው። አብዛኛዎቹ እናቶች ambulance ማግኘት አይችሉም፣ ስለዚህ በባጃጅ ወይም በእግር ረጅም ኪሎሜትር ለመጓዝ ይገደዳሉ።
“The primary obstacle is transport cost and road conditions. Most expectant mothers cannot access an ambulance, forcing them to travel long kilometers on bajaj or on foot.”
ይህ ሁኔታ በክትባት ፕሮግራሞች እና በመደበኛ ክትትል ላይ የሚያሳድረው ተጽዕኖ እንዴት ይገለጻል?
“How does this situation directly impact vaccination adherence and routine pediatric monitoring?”
Engineered for Rigorous Qualitative Inquiries
Stop scrubbing linear timelines. Andebet turns hours of opaque voice recordings into an interactive, fully searchable evidence repository.
Cross-Corpus Semantic Search
Query across 50+ recorded interviews simultaneously. Find every mention of transport barriers, price sensitivity, or trust deficits even when interviewees phrased their answers using different colloquial expressions.
Zero-Hallucination Audio Citations
Every synthesis point, thematic tag, and quote is strictly anchored to millisecond-precise audio segments. Click any phrase to listen to the participant's original voice, intonation, and hesitation.
Multilingual Thematic Clustering
Automatically categorize recurring motifs across Amharic, Oromo, and English interviews. Uncover latent patterns and divergence between urban and rural cohorts without manual spreadsheet wrangling.
CAQDAS Interoperability
Export structured transcripts with standardized speaker codes and timestamps directly into NVivo, MAXQDA, and ATLAS.ti. Integrate directly with your existing qualitative methodology.
From Raw Fieldwork to Published Synthesis
A reproducible 4-step pipeline designed for academic researchers, international development agencies, and qualitative analysts.
Ingest Multilingual Recordings
Upload WAV, MP3, M4A, or mobile voice notes from field visits. Process single in-depth interviews or bulk upload hundreds of files simultaneously.
Supports field recorders, phones & Zoom
Acoustic Diarization & Fidel Transcript
Our acoustic models isolate distinct speakers and transcribe Ge'ez fidel and Latin scripts with specialized handling of regional accents and code-switching.
96%+ accuracy on clean field audio
Synthesize Patterns & Extract Quotes
Use natural language queries to identify consensus, outliers, and key quotes. Filter findings by demographic cohort, location, or study round.
Vector-indexed cross-interview search
Export Verifiable Evidence
Generate audit-ready qualitative reports with inline citations, export coded CSV matrices, or sync transcripts to NVivo and MAXQDA.
One-click export in standard academic formats
Who Relies on Andebet for Interview Analysis
From university faculties to humanitarian program evaluators across the Horn of Africa.
Academic Researchers
Universities & Research InstitutesEliminates weeks of manual transcription while preserving authentic local idioms and linguistic nuance.
Humanitarian & NGO Officers
Development Programs & Monitoring TeamsExtract beneficiaries' direct feedback on aid distribution, water access, and clinic staffing with rapid turnarounds.
Policy & Governance Analysts
Think Tanks & Public Sector ConsultanciesEvidence-based synthesis of stakeholder consultation sessions with transparent audio provenance for public reporting.
Product & Market Researchers
Fintechs, Telcos & Consumer BrandsSynthesize user onboarding feedback and churn interviews across Addis Ababa merchants and mobile money agents.
Frequently Asked Questions About Interview Analysis
Methodology, audio grounding, security, and export capabilities.
Andebet uses end-to-end acoustic and speech-to-text models trained on authentic East African conversational data. Transcripts retain exact Ge'ez fidel and Latin orthography. Once indexed, our semantic search engine maps concepts across languages, allowing you to search in English and retrieve relevant Amharic, Oromo, or Tigrinya audio passages with translated glosses.
Every synthesis card, summary bullet, and quote generated in Andebet links to a precise millisecond-range timestamp in the original audio recording. Researchers can click any finding to play the exact voice recording, verifying the speaker's tone, exact vocabulary, and context before citing it in a publication.
Yes. Our preprocessing pipeline features adaptive noise reduction, wind filter suppression, and speech enhancement tuned for typical field conditions like rural clinic verandas, crowded market squares, and smartphone voice recorder mics.
Yes. Andebet adheres to stringent data protection standards with TLS 1.3 in-transit encryption and AES-256 at-rest encryption. Audio files and transcripts are never shared or used to train public open-weights models without explicit institutional agreements. Institutional review board (IRB) compliance and data processing addendums (DPAs) are available for enterprise and academic tiers.
You can export in rich text (Word .docx), PDF with audio citation links, tab-delimited formats (.csv and .xlsx) for matrix analysis, and standardized XML/text formats optimized for NVivo, MAXQDA, and ATLAS.ti.
Explore Related Transcription & Research Tools
Qualitative Research Transcription
Verbatim Ethiopian language transcription with academic CAQDAS export support.
AnalyticsCorpus Analysis Platform
Analyze dialect distributions, vocabulary frequency, and sentiment across audio corpuses.
Audio AIInterview Transcription
Speaker diarization and crystal-clear transcripts for one-on-one recorded interviews.
BenchmarkAmharic Speech Recognition Research
Read our empirical benchmarks on WER, noise resistance, and dialect performance.
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