NVIDIA Riva TTS Enhances Multilingual Speech and Voice Cloning
The post NVIDIA Riva TTS Enhances Multilingual Speech and Voice Cloning appeared on BitcoinEthereumNews.com. Rebeca Moen Jul 15, 2025 13:06 NVIDIA introduces Riva TTS models enhancing multilingual speech synthesis and voice cloning, with applications in AI agents, digital humans, and more, featuring advanced architecture and preference alignment. NVIDIA has unveiled its latest advancements in text-to-speech (TTS) technology with the introduction of Riva TTS models, designed to enhance multilingual speech synthesis and voice cloning capabilities. These models, Magpie TTS Multilingual, Magpie TTS Zeroshot, and Magpie TTS Flow, are set to transform industries by enabling applications such as AI voice agents, digital humans, and more, according to NVIDIA. New TTS Models and Their Applications The Riva TTS models leverage a streaming encoder-decoder transformer architecture, ensuring high-quality, natural-sounding speech synthesis across various languages and applications. The Magpie TTS Multilingual model supports English, Spanish, French, and German, making it ideal for multilingual interactive voice response (IVR) systems and digital human interactions. Meanwhile, Magpie TTS Zeroshot and Magpie TTS Flow focus on English, targeting live telephony, gaming non-player characters (NPCs), studio dubbing, and podcast narration. Advanced Architecture and Preference Alignment These models employ a non-autoregressive (NAR) encoder and an autoregressive (AR) decoder, utilizing NVIDIA’s preference alignment framework and classifier-free guidance (CFG) to enhance accuracy and authenticity. This technology ensures that the AI generates reliable audio outputs, minimizing errors and improving adherence to input texts. The Magpie TTS Flow model introduces an alignment-aware pretraining framework, integrating discrete speech units like HuBERT into a training framework to learn text-speech alignment efficiently. This approach reduces dependency on large transcribed datasets, allowing for effective voice cloning with minimal data. Collaboration for Safe Speech AI NVIDIA is committed to the responsible development of synthetic speech technologies. As part of its Trustworthy AI initiative, NVIDIA collaborates with industry leaders such as Pindrop to address potential risks associated…
The post NVIDIA Riva TTS Enhances Multilingual Speech and Voice Cloning appeared on BitcoinEthereumNews.com.
Rebeca Moen Jul 15, 2025 13:06 NVIDIA introduces Riva TTS models enhancing multilingual speech synthesis and voice cloning, with applications in AI agents, digital humans, and more, featuring advanced architecture and preference alignment. NVIDIA has unveiled its latest advancements in text-to-speech (TTS) technology with the introduction of Riva TTS models, designed to enhance multilingual speech synthesis and voice cloning capabilities. These models, Magpie TTS Multilingual, Magpie TTS Zeroshot, and Magpie TTS Flow, are set to transform industries by enabling applications such as AI voice agents, digital humans, and more, according to NVIDIA. New TTS Models and Their Applications The Riva TTS models leverage a streaming encoder-decoder transformer architecture, ensuring high-quality, natural-sounding speech synthesis across various languages and applications. The Magpie TTS Multilingual model supports English, Spanish, French, and German, making it ideal for multilingual interactive voice response (IVR) systems and digital human interactions. Meanwhile, Magpie TTS Zeroshot and Magpie TTS Flow focus on English, targeting live telephony, gaming non-player characters (NPCs), studio dubbing, and podcast narration. Advanced Architecture and Preference Alignment These models employ a non-autoregressive (NAR) encoder and an autoregressive (AR) decoder, utilizing NVIDIA’s preference alignment framework and classifier-free guidance (CFG) to enhance accuracy and authenticity. This technology ensures that the AI generates reliable audio outputs, minimizing errors and improving adherence to input texts. The Magpie TTS Flow model introduces an alignment-aware pretraining framework, integrating discrete speech units like HuBERT into a training framework to learn text-speech alignment efficiently. This approach reduces dependency on large transcribed datasets, allowing for effective voice cloning with minimal data. Collaboration for Safe Speech AI NVIDIA is committed to the responsible development of synthetic speech technologies. As part of its Trustworthy AI initiative, NVIDIA collaborates with industry leaders such as Pindrop to address potential risks associated…
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