Moroccan Darija Conversational Speech Dataset
1,500 hours of spontaneous two-person conversations in Moroccan Darija, recorded in Morocco with 150 vetted native speakers. Dual-channel audio, time-aligned human-verified transcripts and speaker metadata, licensed for commercial ASR, TTS and voice AI training.
This repository is the dataset card only. The audio is licensed commercially and isn't hosted on Hugging Face. Free samples (audio, matching transcripts and the metadata schema) are sent on request: request Moroccan Darija samples.
Specifications
| Language | Moroccan Darija |
| Recorded in | Morocco |
| Speech type | Spontaneous two-person conversations |
| Volume | 1,500 hours |
| Speakers | 150 vetted native speakers |
| Audio | Dual-channel, one channel per speaker |
| Transcripts | Time-aligned, human-verified |
| Speaker metadata | Age, gender, region, recording device |
| Consent | Signed commercial-use consent from every speaker |
| License | Commercial, for training and evaluation |
| Price | $65 per hour of audio, volume discounts available |
What makes Moroccan Darija hard for speech recognition
Moroccan Darija is hard even for speakers of other Arabic dialects to follow. It drops many short vowels, borrows from Amazigh, French and Spanish, and is often written online in Latin letters and numbers. Data in MSA or Middle Eastern Arabic does little for a Darija model.
Built for
- Automatic speech recognition (ASR / STT)
- Text-to-speech and voice synthesis prosody
- Voice agents and IVR for Morocco
- Speaker diarization and turn-taking models
- Speech LLM and audio-understanding fine-tuning
Getting the data
Request samples with a company email on the Arabic (Darija) dataset page and the team replies with representative audio and transcripts so you can check quality, accents and transcript conventions before you buy. Need more hours, another dialect or your own recording setup? SpeechData.ai also collects speech data to spec, or you can book a call.
About SpeechData.ai
SpeechData.ai licenses conversational speech datasets in 60 languages and dialects and runs custom speech data collection. It's part of Spirelight. Browse the full catalog.
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