Natiq-Studio/Natiq-dz-ARG
Text-to-Speech • Updated • 337 • 10
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Algerian Darija Speech Dataset
Production-grade speech corpus for Algerian Darija Text-to-Speech (TTS), Automatic Speech Recognition (ASR), and zero-shot voice cloning.
By Natiq Studio 🇩🇿
Dataset Overview & Key Metrics
A comprehensive, multi-speaker Algerian Darija speech collection standardized for high-fidelity speech synthesis and conversational AI research, featuring natural French-Arabic code-switching and rich acoustic metadata.
| Metric | Specification |
|---|---|
| Total Audio Duration | ~303.1 Hours |
| Total Utterances / Clips | 101,034 clips |
| Audio Sampling Rate | 24,000 Hz (24 kHz Mono) |
| Audio Format | Standard Parquet with embedded 24 kHz WAV audio |
| Primary Language | Algerian Darija (الدارجة الجزائرية) |
| Linguistic Characteristic | Authentic conversational speech with natural French code-switching |
| Speaker Coverage | 100+ distinct speakers across diverse acoustic environments |
| Acoustic Annotations | Paired text transcripts, duration, SNR, energy levels, speaker embeddings, and zero-shot reference pairs |
| Applications | Text-to-Speech (TTS), Speech Recognition (ASR), Zero-Shot Voice Cloning |
| Availability | Gated manual approval; academic & commercial tiers via Natiq Studio |
Corpus Breakdown
The dataset is organized into four complementary subsets covering diverse acoustic conditions and speaking registers:
| Subset | Clean Utterances | Duration | Speech Profile & Acoustic Context |
|---|---|---|---|
subset_01 |
4,685 clips | ~8.6 Hours | Single-speaker clean narrative voice with high acoustic signal-to-noise ratio and zero background artifacts. |
subset_02 |
11,069 clips | ~52.1 Hours | Multi-speaker dynamic dialogue and natural conversational turn-taking in spontaneous settings. |
subset_03 |
23,750 clips | ~115.7 Hours | Single-speaker clean female voice with highly consistent vocal timbre, ideal for acoustic base modeling. |
subset_04 |
61,530 clips | ~126.7 Hours | Multi-speaker long-form discussions covering professional, technical, academic, financial, and healthcare topics with heavy code-switching. |
| Total | 101,034 clips | ~303.1 Hours | Unified 24 kHz Speech Corpus |
Audio Quality & Listening Evaluation
Audio Evaluation Samples: The clips below are preview samples provided to illustrate acoustic fidelity and natural French code-switching across topics. They are short excerpts for listening evaluation only; the complete ~303.1-hour dataset is gated and accessible upon review.
1. Technology & Engineering
7.10 seconds • 24 kHz audio
Transcript: Développeur؟ لا لا لا، physicien de base، كيما كان يقول واحد le prof تاع physique، qui peut le plus peut le moins، بلا ما نعايروا حتى واحد.
2. Finance & Markets
8.23 seconds • 24 kHz audio
Transcript: يدخل للموقع الرسمي تاع la COSOB، cosob point dz, point org point dz، يدخل IOB ولا promoteur en bourse يلقى، كاين معلومات تما.
3. Academic Research & Science
8.16 seconds • 24 kHz audio
Transcript: ودرست thin film semiconductor في التطبيق في الطاقة الشمسية ودرت master و PhD.
Access Tiers & Commercial Licensing
We support both academic research and commercial AI development through two distinct tracks:
- Academic & University Research: Eligible university labs and non-commercial researchers may request free access to subsets or the full corpus, subject to mandatory citation, strict non-redistribution, and non-commercial usage agreements.
- Commercial Licensing (Startups & Enterprises): Commercial entities looking to train, fine-tune, or evaluate internal TTS/ASR models can license the curation pipeline output (or request a 2–5 hour evaluation sample) directly through Natiq Studio.
How to Request Access:
- Submit Access Request: Complete the form at the top of this page using your official institutional or corporate email.
- Review & Scope: We will review your intended use and reach out via email to confirm academic terms or discuss commercial licensing and evaluation samples.
- Agreement & Approval: Repository access (or custom delivery) is granted manually once terms are confirmed.
Licensing Terms
This is a proprietary curated dataset, not an open-data release. A public dataset page, submitted request, or technical download permission does not by itself grant permission to train commercial models or commercialize resulting weights without an explicit written agreement.
Redistribution, public hosting, or sublicensing of recordings, transcripts, or dataset shards is strictly prohibited without prior written permission. See LICENSE.md.
Contact
For commercial licensing inquiries, evaluation samples, and dataset specifications:
- Email: abdelhak.kadouci@ensia.edu.dz
- Organization: Natiq Studio
Citation
If you use this dataset, reference samples, or derived models in your academic research, evaluation, or projects, you must cite it as follows:
BibTeX
@misc{kadouci2026natiq,
author = {Kadouci, Abdelhak and {Natiq Studio}},
title = {Algeria-TTS-dataset: A Multi-Speaker 24 kHz Corpus for Algerian Darija TTS, ASR, and Voice Cloning},
year = {2026},
howpublished = {\url{https://huggingface.co/datasets/Natiq-Studio/Algeria-TTS-dataset}},
note = {Natiq Studio}
}
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