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 Text to speech category. It focuses on generating natural speech audio in low-resource languages like Bambara where commercial TTS options are unavailable. Mms Tts Bam is an open-source project aimed at machine learning developers. Mms Tts Bam is open source under the Open Source license. It runs on the web, the command line, and API.
Behind Mms Tts Bam is Meta, based in the United States, and it first shipped in 2023. Key capabilities include text-to-Speech, multilingual, and VITS Architecture.
Summary written by a language model from the project’s public pages.
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