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Human sounding Text to speech

Back in the late 1950s, the first computer-based speech-synthesis systems was originated. Noriko Umeda Et Al. developed the first general English text-to-speech system in 1968, at the Electro- technical Laboratory in Japan. Since then Text-to-Speech technology took online written content to a new dimension of accessibility. With a click of a button or a touch of a finger, TTS can take words on a computer or any other digital device and convert them into sound. The quality of a speech synthesizer is judged by its similarity to the human voice and by its ability to be understood clearly. The most important qualities of a speech synthesis system are naturalness and intelligibility. Naturalness describes how closely the output sounds like human speech, while intelligibility is the ease with which the output is understood that allows people with visual impairments or reading disabilities to listen to written words on any device.  

On the other hand, According to researches, the Arabic language is one of the most complex languages in the world. It comes the 2nd after the Mandarin Language. So based on that we decided to face that challenge bravely and introduce you to our Nun Arabic TTS engine

Our Nun Arabic TTS engine is developed by 15+ professional Arabic linguists. Nun TTS stands out of all other TTS engines by how natural, familiar and human alike it sounds, how accurate and fluent it is at all the vowels and grammar complexity of our authentic Arabic language.

Here is a sample of our unique voice

Two of the most unique features of Nun Arabic TTS where our linguists invested time and effort to develop are Text Normalization and Auto Diacritization by assigning phonetic transcriptions to each word, and divides and marks the text into prosodic units, like clauses, phrases, and sentences.

Natural Language Processing and Machine learning are also two strong features Nun TTS has. They focus on pronunciation of complex Arabic words, phrases, names, date formats, time, currencies and abbreviations just like a human native Arabic speaker.

Here is a sample of Arabic Names pronunciation

Nun Arabic TTS is backed by a powerful AI engine for a real time live experience where it can read not only static but dynamic data as well.

When it comes to Arabic dialects, Nun TTS is originally designed to read in Modern Standard Arabic but we also backed it with a big library so you can ask for your own local dialect human a-like Text-to-Speech voice.

Arabic Text to speech

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