- Text To Speech
- MARS5 TTS
MARS5 TTS - Open-source, insanely prosodic text-to-speech model
Introduction
MARS5 an opensource 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.gg/4GVdQ28cZC today!
MARS5 TTS's Overview
MARS5 is a novel English speech model (TTS) developed by CAMB.AI. It follows a two-stage AR-NAR pipeline with a unique NAR component. With just 5 seconds of audio and a snippet of text, MARS5 can generate speech for diverse scenarios like sports commentary and anime. The model can be steered with punctuation and capitalization to guide the prosody of the generated output. Speaker identity can be specified using an audio reference file. MARS5 supports both shallow and deep cloning, with the latter requiring the prompt transcript. The model can be easily loaded using `torch.hub` and inference can be performed by providing the reference audio and transcript. The default settings provide good results, but the inference settings can be tuned for specific use cases. The checkpoints for MARS5, along with the necessary hardware requirements, are provided on the GitHub repo. Contributions to improve the model are welcome.
MARS5 TTS's Features
Two-stage AR-NAR pipeline
Guided prosody using punctuation and capitalization
Speaker identity specification
Shallow and deep cloning
Easy model loading using `torch.hub`
Inference using reference audio and transcript
Open-source with alternative licensing options
MARS5 TTS's Q&A
MARS5 TTS's Pricing
MARS5 is open-source and available under GNU AGPL 3.0 license. For alternative licensing options, please contact [email protected]
MARS5 TTS's Analytics
Website Overview
Key performance metrics for github.com
Bounce Rate
38.34%
Pages / Visit
6.50
Total Visits
437,914,238
Time on Site
7m 18s
Global Rank
#78
Country Rank
#111
Top Regions
Distribution of traffic by country
- 1.United States15.94%
- 2.China15.11%
- 3.India9.28%
- 4.Japan3.94%
Total Visitors
Monthly visitor statistics for the last 3 months
Traffic Sources
Distribution of traffic sources