Speech Synthesis: Multilingual Multispeaker - MagpieTTS Model Overview

Description:

The Magpie-TTS model leverages an encoder-decoder transformer architecture for speech synthesis. The encoder processes text input, and the auto-regressive decoder takes a reference speech prompt from the target speaker. The auto-regressive decoder then generates speech tokens by attending to the encoder’s output through the transformer’s cross-attention heads. These cross-attention heads implicitly learn to align text and speech. However, their robustness can falter, especially when the input text contains repeated words.

References:

MagpieTTS Blog

Model Architecture:

Architecture Type: Transformer + Generative Adversarial Network (GAN)

Network Architecture: MagpieTTS + AudioCodec

Input:

For MagpieTTS (1st Stage): Text Strings

Other Properties Related to Input: 400 Character Text String Limit

Output:

For AudioCodec (2nd Stage): Audio of shape (batch x time) in wav format

Other Parameters Related to Output: Mono, Encoded 16 bit audio; 20 Second Maximum Length; Depending on input, this model can output a female or a male voice for English, French and Spanish.

Software Integration:

Runtime Engine(s): Riva 2.19.0 or greater

Supported Hardware Platform(s):

NVIDIA Blackwell GPU
NVIDIA Turing T4
NVIDIA A100 GPU
NVIDIA A30 GPU
NVIDIA A10 GPU
NVIDIA H100 GPU
NVIDIA L4 GPU
NVIDIA L40 GPU

Supported Operating System(s):

Linux

Inference:

Engine: Triton
\nTest Hardware:

NVIDIA Blackwell GPU
NVIDIA Turing T4
NVIDIA A100 GPU
NVIDIA A30 GPU
NVIDIA A10 GPU
NVIDIA H100 GPU
NVIDIA L4 GPU
NVIDIA L40 GPU

Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns here.

License

By downloading and using the models and resources packaged with Riva Conversational AI, you accept the terms of the Riva license.

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\n\n## Output:\nFor AudioCodec (2nd Stage): Audio of shape (batch x time) in wav format\n\n**Other Parameters Related to Output:** Mono, Encoded 16 bit audio; 20 Second Maximum Length; Depending on input, this model can output a female or a male voice for English, French and Spanish. \n\n## Software Integration:\n**Runtime Engine(s):** Riva 2.19.0 or greater
\n\n**Supported Hardware Platform(s):**
\n* NVIDIA Blackwell GPU
\n* NVIDIA Turing T4
\n* NVIDIA A100 GPU
\n* NVIDIA A30 GPU
\n* NVIDIA A10 GPU
\n* NVIDIA H100 GPU
\n* NVIDIA L4 GPU
\n* NVIDIA L40 GPU
\n\n\n**Supported Operating System(s):**
\n* Linux
\n\n\n## Inference:\n**Engine:** Triton
\n**Test Hardware:**
\n* NVIDIA Blackwell GPU\n* NVIDIA Turing T4\n* NVIDIA A100 GPU\n* NVIDIA A30 GPU\n* NVIDIA A10 GPU\n* NVIDIA H100 GPU\n* NVIDIA L4 GPU\n* NVIDIA L40 GPU\n\n## Ethical Considerations:\nNVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).\n\n## License\nBy downloading and using the models and resources packaged with Riva Conversational AI, you accept the terms of the Riva [license](https://docs.nvidia.com/ai-foundation-models-community-license.pdf).","RIVA Magpie-TTS Multilingual",["D",1742375101733],"deployable_1.0","/api/image/nvidia/riva/models/speechsynthesis_multilingual_magpietts_ipa","https://github.com/kbojo/images/raw/master/Nvidia-Centric-RIVA.png",685685512,"bias","","explainability","privacy","safetyAndSecurity",[],[250,251,252,253],[],[],[],{"_92":261,"_128":262,"_129":263,"_131":132},{"_92":259,"_128":259,"_129":260,"_131":132},{"_92":134,"_128":134,"_129":258,"_131":132},{"_92":254,"_128":255,"_129":256,"_131":132},"Text to Speech","uscs_text_to_speech",{"_133":257,"_128":255},"application",{"_133":136,"_128":134},"NSPECT-6F2O-TSMS",{"_133":132,"_128":259},"Audio Synthesis","uscs_audio_synthesis",{"_133":257,"_128":262},{"_171":1237,"_173":1238},"ngcApps",[1190],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1171":1172,"_1173":1174,"_1175":1176,"_1177":1178,"_1179":275,"_203":301,"_1180":1181,"_1182":51,"_1183":214,"_1184":214,"_1185":1186,"_1187":214,"_1188":1189},"amplitude",{"_1168":1169,"_814":-7,"_1170":26},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1162":1163,"_1164":1165,"_1166":1167},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1787560936356,"1.12.0","defaultSearchSuggestions",{"_1054":241,"_1055":1056,"_1057":1058,"_1059":1060},"announcements",[],"consentState",{"_339":1044,"_1045":214,"_1046":26,"_1047":26,"_1048":1049},"consentConfig",{"_321":322,"_323":324,"_325":326,"_327":328,"_329":330,"_331":332,"_333":334,"_335":336,"_337":338,"_339":340},"showContactAdmin",[],[],[314,315,316,317,318,319],{"_40":54,"_42":66,"_44":62,"_46":-5,"_48":-5,"_50":51},{"_40":54,"_42":63,"_44":62,"_46":-5,"_48":-5,"_50":51},{"_40":54,"_42":59,"_44":62,"_46":-5,"_48":-5,"_50":51},{"_40":54,"_42":55,"_44":62,"_46":-5,"_48":-5,"_50":51},{"_40":52,"_42":53,"_44":62,"_46":-5,"_48":-5,"_50":51},{"_40":41,"_42":43,"_44":45,"_46":47,"_48":320,"_50":51},5,"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. The information collected might relate to you, your preferences, or your device. We use that information to make the site work, analyze performance and traffic on our website, provide a more personalized web experience, and assist in our marketing efforts.

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