Part of Meta's Massively Multilingual Speech (MMS) project, this model provides text-to-speech capabilities for the Bambara (bam) language using the VITS architecture. It is published on Hugging Face and can be used with the Transformers library for local inference or integration into speech applications. The model helps expand access to voice technology for underrepresented languages.
Mms Tts Bam sits in PulseGate's Voice, TTS & speech category. It focuses on generating natural speech audio in low-resource languages like Bambara where commercial TTS options are unavailable. It is built as an open-source project for machine learning developers. Mms Tts Bam is open source under the Open Source license. It runs on the web, the command line, and API.
It is developed by Meta (United States), and the product first shipped in 2023. Key capabilities include text-to-Speech, multilingual, and VITS Architecture.
Latest indexed changes and source events
facebook/mms-tts-bam verified by the PulseGate indexer
Other apps tracked under the same category.
