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ReadSpeaker expands its portfolio of neural TTS voices
ReadSpeaker is expanding its portfolio of neural TTS voices with Yasmin, a female voice speaking Modern Standard Arabic (MSA), and Priya, who speaks Indian English. These new voices are now available in addition to the existing neural Lykke for Norwegian (Bokmål) and neural Veerle for Flemish.
The ReadSpeaker collection of neural text-to-speech (TTS) voices keeps growing to meet the needs of our customers and their users around the world. We are delighted to present our new releases of high-quality voices powered by artificial intelligence.
Meet Yasmin, our new neural TTS voice, who speaks Modern Standard Arabic (MSA). MSA is the standard used in broadcasting throughout the Arab world. Click here to hear Yasmin introduce herself
And this is Priya, a neural TTS voice speaking Indian English. Click here to listen to Priya introducing herself
Add to them Lykke, the ReadSpeaker female voice for Norwegian (Bokmål), and Veerle, the Flemish text-to-speech voice, both now available with neural technology. You can listen to them by clicking here for Lykke and here for Veerle.
ReadSpeaker customers and their users find the voices of our neural TTS personas warm, confident and clear, and trustworthy. These voices are also suited to many real-life applications, including accessibility, conversational AI, education and distance learning, entertainment, media, public announcements, and many other applications.
The ReadSpeaker Neural TTS engine is based on deep neural networks (DNN), which generate high-quality speech using DNN-trained models. Our neural TTS voices can be customized to meet the different and unique needs of our customers, and created in record time compared with the time earlier technologies took.
You can now preview the voices of Yasmin, Priya, Lykke or Veerle, or any of our other voices, for yourself on the voice demo page here.
If you would like to give your applications a voice with ReadSpeaker neural TTS voices, please contact our text-to-speech (TTS) specialist team.
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