Egyptian Arabic TTS Dataset for Speech Synthesis

The Arabic TTS Monologue Speech Dataset is a professionally curated resource built to train realistic, expressive, and production-grade text-to-speech (TTS) systems. It contains studio-recorded long-form speech by trained native Arabic voice artists, each contributing 1 to 2 hours of clean, uninterrupted monologue audio.

Unlike typical prompt-based datasets with short, isolated phrases, this collection features long-form, topic-driven monologues that mirror natural human narration. It includes content types that are directly useful for real-world applications, like audiobook-style storytelling, educational lectures, health advisories, product explainers, digital how-tos, formal announcements, and more.

All recordings are captured in professional studios using high-end equipment and under the guidance of experienced voice directors.

Only clean, production-grade audio makes it into the final dataset.

All voice artists are native Arabic speakers with professional training or prior experience in narration. We ensure a diverse pool in terms of age, gender, and region to bring a balanced and rich vocal dataset.

Scripts are not generic or repetitive. Scripts are professionally authored by domain experts to reflect real-world use cases. They avoid redundancy and include modern vocabulary, emotional range, and phonetically rich sentence structures.

While the script is used during the recording, we also provide post-recording updates to ensure the transcript reflects the final spoken audio. Minor edits are made to adjust for skipped or rephrased words.

Every recording and speaker is tagged with detailed metadata. This metadata enables filtering, speaker-level analysis, and targeted fine-tuning during model training.

Each recording goes through a multi-stage QA workflow:

This dataset is optimized for high-quality TTS training, but like any off-the-shelf resource, it’s important to be aware of a few practical boundaries:

All contributors go through a structured onboarding process via our Yugo platform. We collect voice samples, confirm suitability, and obtain written consent before full dataset participation.

Need something different? We support custom data collection projects, including:

If your requirements go beyond the scope of this dataset, FutureBeeAI offers fully customizable data collection pipelines tailored to your model needs, speaker profile, and acoustic conditions.

The Arabic TTS Monologue Speech Dataset is developed by FutureBeeAI and is available exclusively under a commercial license, designed to support a wide range of real-world applications while ensuring ethical and legal compliance.