From 7bbd79bee206e0d187b405ac570935fe934e8c27 Mon Sep 17 00:00:00 2001 From: takagada480 Date: Sat, 4 Jan 2025 01:55:28 +0200 Subject: [PATCH] Update README.md MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit When the writer defines, explores, and explains an abstract concept that has a complex meaning and is debatable (could mean different things to different people) • Ex. What is true love? What is courage? What is success? Defining the concept helps support a larger idea or argument • Ex: Is my current relationship true love or just a lustful crush? You would need to define true love to answer that question. * Am I getting a good education? You would have to define good education first. --- examples/mms/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/mms/README.md b/examples/mms/README.md index 0460dd5f93..e26013930f 100644 --- a/examples/mms/README.md +++ b/examples/mms/README.md @@ -1,6 +1,6 @@ # MMS: Scaling Speech Technology to 1000+ languages -The Massively Multilingual Speech (MMS) project expands speech technology from about 100 languages to over 1,000 by building a single multilingual speech recognition model supporting over 1,100 languages (more than 10 times as many as before), language identification models able to identify over [4,000 languages](https://dl.fbaipublicfiles.com/mms/misc/language_coverage_mms.html) (40 times more than before), pretrained models supporting over 1,400 languages, and text-to-speech models for over 1,100 languages. Our goal is to make it easier for people to access information and to use devices in their preferred language. +The Massively Multilingual Speech (MMS) project expands speech technology from about 100 languages to over 1,000 by building a single multilingual speech recognition model supporting over 1,400 languages (more than 10 times as many as before), language identification models able to identify over [4,000 languages](https://dl.fbaipublicfiles.com/mms/misc/language_coverage_mms.html) (40 times more than before), pretrained models supporting over 1,400 languages, and text-to-speech models for over 1,400 languages. Our goal is to make it easier for people to access information and to use devices in their preferred language. You can find details in the paper [Scaling Speech Technology to 1000+ languages](https://research.facebook.com/publications/scaling-speech-technology-to-1000-languages/) and the [blog post](https://ai.facebook.com/blog/multilingual-model-speech-recognition/).