Arabic (Oman) Spontaneous Dialogue
This dataset contains spontaneous conversational recordings from native Omani Arabic speakers, reflecting regional pronunciation and natural spoken interaction. Human-verified transcripts with utterance-level timestamps prepare it for multilingual ASR, voice agents, and conversational AI development.
Dataset Overview
Commercial License
Cleared for production AI development and model training.
Native Speakers
Native Omani speakers covering Omani Arabic.
Human Verified
Human transcription with dialect notes, reviewed before delivery.
Production Ready
16 kHz / 16-bit PCM WAV with structured, validated metadata.
Hear the data before you license it.
A representative audio excerpt from this dataset. Full transcripts and speaker metadata are delivered with licensed data.
Audio Sample 1
25–34 · Omani Arabic
Built to a documented standard.
Every delivery matches the recording, audio, and annotation specification below.
Recording
Two-party conversational recordings in quiet indoor environments.
Audio
Annotation
- Human Transcript
- Speaker ID
- Timestamps
- Dialect Tags
- JSONL / TXT
Utterance-level timestamps
Balanced, documented speaker coverage.
Native Omani speakers
Balanced
18–60
Omani Arabic
Verified at every stage of delivery.
What teams build with this dataset.
Automatic Speech Recognition
Train and benchmark ASR models against human-verified reference transcripts.
Voice Agents
Build voice assistants that hold up against real conversational speech.
Multilingual AI Products
Extend language coverage with consistent annotation across locales.
License this dataset for production AI.
Commercial licensing for production AI development. Terms are shared on request; evaluate representative samples before purchase.