Meta AI recently open-sourced the code for the Massively Multilingual Speech (MMS) project.
It's a series of models for speech-to-text and text-to-speech for 1,100+ languages!
Here is how you can use it with several lines of code 👇🏼
Clone fairseq-py and install the latest version
Download MMS model
Choose one of the preferred models.
Prepare audio file
Requirements:
▪️ Your audio should be in .wav format
▪️ Your audio data should have a 16kHz sample rate
The second line of code is to satisfy these requirements.
Run Inference and transcribe your audio
To choose a language:
▪️ Go to github.com/facebookresearch/fairseq/tree/main/examples/mms#asr
▪️ Open Supported languages related to the model you've chosen
▪️ Replace --lang "eng" with the code of the chosen language
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