AI Audio Transcription Designed for Qualitative Researchers
Qualitative research lives and dies by verbatim evidence. Andebet eliminates the agonizing transcription bottleneck for ethnographers, sociologists, and development researchers working across Ethiopian languages.
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Anthropological Fieldwork Interview (Gojjam)
Amharic (Gojjam Regional Dialect) • 02:30
ይህ ባህላዊ ዜማ በሰርግ ወቅት የሚዘፈነው በምን አይነት ስርዓት ነው? ቃላቱ የሚገልጹት ታሪክ ምን እንደሆነ ቢያብራሩልን።
“Under what tradition is this folk song performed during wedding ceremonies? Could you explain what story the lyrics describe?”
ይህ ዜማ የጥንት ዘመን የአባቶቻችን የጀግንነት ታሪክ ነው። ሙሽራው ወደ ቤተሰቡ ሲገባ እናትና አባቱ የሚያመሰግኑበት ጥልቅ መልዕክት ያለው ነው።
“This melody represents our ancestors' ancient history of valor. It carries a profound message of gratitude from the parents as the groom enters the household.”
Methodological Rigor Meets AI Speed
Designed around the real needs of qualitative methodology: verbatim reliability, audit trails, and strict institutional ethics compliance.
Verbatim Fidelity
Captures true verbatim speech including pauses, hesitations, dialectal colloquialisms, and code-switched phrases essential for discourse analysis.
Auditable Audio Citations
Every sentence links directly back to the original audio millisecond, allowing peer reviewers or academic advisors to verify quote authenticity.
Ethics & Data Sovereignty
Compliant with academic Institutional Review Board (IRB) ethics standards. Audio and transcripts are encrypted and never used for public model training.
Qualitative Software Export
Formatted specifically for one-click import into qualitative data analysis software (QDAS), including NVivo, MAXQDA, and ATLAS.ti.
The Qualitative Research Pipeline
From raw field tapes to coded dissertation chapters in hours instead of months.
Secure Audio Upload
Upload WAV, MP3, or M4A recordings directly into a private project folder with custom participant pseudonymization.
Supports high-bitrate WAV recordings
Speech Recognition & Diarization
Andebet transcribes the recording into Ge'ez fidel or Qubee text while automatically separating interviewer questions from participant responses.
Sub-2-minute processing per hour
Qualitative Coding & Verification
Review dialogue, correct specialized terms, and highlight key thematic quotes. Listen to ambiguous audio passages at 0.75x or 1.25x speed.
Synchronized audio scrub player
Corpus Search & Export
Ask qualitative questions across your entire dataset in Corpus Studio, or export clean transcripts ready for coding in NVivo.
Export formatted for thematic analysis
Built for Researchers Across Disciplines
How social scientists and development professionals use Andebet to accelerate qualitative fieldwork.
Anthropology & Cultural Studies
Ethnographers, folklorists, oral historiansPreserve regional oral histories and ritual traditions in authentic Ge'ez fidel without phonetic distortion.
Public Health & Epidemiology
Medical sociologists, health policy researchersAnalyze in-depth patient narratives, healthcare provider interviews, and clinical focus groups with strict privacy guarantees.
Development & Humanitarian Policy
Think tanks, World Bank contractors, UN research teamsExtract qualitative evidence from rural beneficiaries regarding cash assistance, food security, and education programs.
Education & Sociology
University professors, master's & PhD researchersEliminate the hundreds of hours typically wasted typing audio, freeing researchers to focus on coding and conceptual synthesis.
Frequently Asked Questions: Qualitative Research
Answers regarding IRB ethical compliance, verbatim options, and qualitative coding software.
Yes. We understand the sensitivity of human-subject qualitative research. Andebet enforces AES-256 data encryption, isolated tenant storage, and strict zero-training policies on user research data. We provide institutional Data Processing Agreements (DPAs) upon request.
Yes. Andebet exports clean, pre-structured Word (.docx) and plain text (.txt) documents formatted with standardized speaker tags (e.g. 'Participant 1: [00:14:22] Transcript text') which NVivo, ATLAS.ti, and MAXQDA parse into speaker nodes automatically.
Our models were trained on native acoustic samples recorded across all regional Ethiopian zones, including rural villages with unique colloquialisms and phonemes. The model remains highly resilient to non-standard regional inflections.
Yes! Andebet's Corpus Analysis workspace allows you to group multiple interviews into a single research corpus and ask conversational research questions like: 'What barriers to fertilizer access were cited by farmers in Arsi?' The AI synthesizes the answer with exact clickable audio timestamp citations.
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LanguageAmharic Audio Transcription
Native Ge'ez fidel speech recognition with built-in diarization.
Turn recorded Ethiopian conversations into searchable truth.
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