MARS5 TTS

Name: MARS5 TTS
Rating: 5.0 (1 reviews)

Open-source, insanely prosodic text-to-speech (TTS) model

5.0•1 review•

563 followers

Open-source, insanely prosodic text-to-speech (TTS) model

5.0•1 review•

563 followers

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LLMs

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Predictive AI

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Text-to-Speech Software

MARS5 an open-source TTS model to replicate performances (from 2-3s of audio reference) in 140+ languages, even for extremely tough prosodic scenarios like sports commentary, movies, anime & more. Join our Discord https://discord.com/invite/ZzsKTAKM today!

Free

Launch tags:Software Engineering•Artificial Intelligence•GitHub

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Promoted

Gold standard text to speech model. Keep up the work team

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2yr ago

MARS5 TTS

Maker

@vaibhavsisinty Thank you Vaibhav!!

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2yr ago

So good!! Congrats Camb team on being top product for June. Well deserved

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2yr ago

MARS5 TTS

Maker

@anthony_katz1 Thanks Katz, not possible without great partners like yourselves!

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2yr ago

Congratulations Akshat for some fabulous work. Best wishes !!

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2yr ago

MARS5 TTS

Maker

@jyoti_gupta14 Thank you ma'am!

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2yr ago

wow, the result sounds amazing, starred the repo

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2yr ago

MARS5 TTS

Maker

@bresai thank you!!

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2yr ago

MARS5 TTS team, this open-source text-to-speech model looks incredible! The ability to handle tough prosodic scenarios is super impressive. How does MARS5 ensure naturalness and emotional expression across such a wide range of languages and contexts, especially for niche areas like anime and sports commentary? 🎙️

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2yr ago

MARS5 TTS

Maker

@dmytro_semonov Hey Dmytro, MARS follows a AR<>NAR pipeline with a distinctive NAR model. Our architecture and datasets are differentiated and have allowed us to reach this level of prosody.

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2yr ago

Whoa, launching something like MARS5 TTS is like, next level! The way it handles 140+ languages and those tricky prosodic scenarios is mind-blowing. Quick question tho: how does MARS5 manage the balance between maintaining natural intonation in such a diverse set of languages and ensuring consistency across different dialects and accents? Curious to know how you guys tackled that challenge! 🚀🧠

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2yr ago

MARS5 TTS

Maker

@p_val We kept a low-resource language-first approach. Helps us capture nuances in each one. Our technology generalizes well even on some unseen languages :)

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2yr ago

Swatle

The ability to replicate performances from just 2-3 seconds of audio reference is fascinating. Could you share more about the technical challenges you faced in achieving this and how you overcame them? Great launch!

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2yr ago

MARS5 TTS

Maker

@ramya_pk it's built upon years of research experience that our team at CAMB.AI brings. Definitely not something that was built overnight; lots of blood, sweat and tears haha

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2yr ago

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5.0

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