🎉🎤 "Omnilingual ASR" claims it can recognize 1600 languages, but let's be real—who even knew there were that many? 🙄 With so many languages covered, it's only a matter of time before it becomes the world's first tool to mispronounce every language equally! 🌎🤦‍♂️
https://ai.meta.com/blog/omnilingual-asr-advancing-automatic-speech-recognition/?_fb_noscript=1 #OmnilingualASR #languageRecognition #techInnovation #multilingualism #HackerNews #ngated
Omnilingual ASR: Advancing Automatic Speech Recognition for 1,600+ Languages

We’re introducing Meta Omnilingual Automatic Speech Recognition, a suite of models providing automatic speech recognition capabilities for over 1,600 languages.

Meta AI

Meta’s new Omnilingual ASR model drops character error rates below 10 % for 78 % of the 1,600 languages it was tested on – a huge leap for low‑resource, under‑represented tongues. The system leverages in‑context learning and is released under Creative Commons, inviting the community to build on it. Read the full benchmark details! #OmnilingualASR #SpeechAI #LowResource #UnderrepresentedLangs

🔗 https://aidailypost.com/news/metas-omnilingual-asr-hits-sub10-error-78-1600-languages

Meta just open‑sourced its Omnilingual ASR suite, covering 1,600+ languages and 4.3 M hours of audio. Powered by wav2vec 2.0, Transformer models and in‑context learning, it blends LLM‑ASR for a truly global speech engine. Curious how it works? Read the full breakdown. #Meta #OmnilingualASR #wav2vec2 #LLMASR

🔗 https://aidailypost.com/news/meta-releases-opensource-omnilingual-asr-suite-1600-languages-43m