SoundHound Partners with SELVAS AI to Add TTS Voices

SoundHound, a provider of sound recognition and voice-enabled conversational intelligence technologies, has partnered with SELVAS AI (formerly known as Diotek), a provider of text-to-speech (TTS) solutions, to make the Selvy TTS cloud-based solution available on the Houndify voice recognition and conversational intelligence platform.

Through the partnership, developers using Houndify will have access to 20 TTS voices across eight languages to enable natural-sounding, high-quality spoken outputs in their products and services. Houndify developers can enable the Selvy TTS Voice Collection,; set their preferred parameters, and start receiving audio data in response from the Houndify platform.

The following voices and languages are available immediately as a cloud service for developers using Houndify.com:

  • U.S. English: Sarah, Judy, and Chris (female); and Richard (male);
  • U.K. English: Claire (female);
  • Korean: Yujin, Sujin, Mijin, and Hyejin (female), Minjun and Gichan (male), and Aram (child);
  • Mandarin Chinese: Xiaoling (female) and Jiaoling (male);
  • Japanese: Otoha and Naomi (female), and Eita (male);
  • Mexican Spanish: Veronica (female);
  • Canadian French: Estelle (female); and
  • Brazilian Portuguese: Monica (female).

"Partnering with SELVAS AI enables us to provide best-in-class TTS outputs for developers and device makers leveraging the Houndify platform," said James Hom, co-founder and vice president of SoundHound, in a statement. "We're thrilled to be able to add more languages and voices to Houndify as part of our mission to Houndify everything."

"Through our partnership with SoundHound to enable access to SELVAS AI's advanced TTS solution, we hope to serve the various needs to leverage multiple languages and voices across global markets," said James Kim, CEO of SELVAS AI, in a statement. "We are looking to provide additional solutions in areas of TTS, handwriting recognition, and image processing technology in the near future through extensive research and investment."

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