Google has rolled out an update to its new Universal Speech Model (USM) to battle with Open AI. In reality, it is a speech model which supports 1,000 languages. 

Related to the Universal Speech Model, the researcher reveals that it surpassed Open AI for parts of automated speech recognition. For instance, it can write the best youtube captions. 

What Is The Universal Speech Model Of Google?

The Universal Speech model contains various speech models having two billion parameters. And, it has been trained where a big dataset of text including 12 million hours of speech as well as 28 billion sentences targeting more than 300 languages. 

As per Google, the USM can identify over 1000 languages grounded on automatic speech recognition scaling. Meanwhile, multilingual datasets can also be recognized by this model. 

As per the company, by this model, the encoder can pre-train and very well adapt to new languages and data in the course of training. With the help of the model, data from various languages can be swiftly filtered and can also be utilized for content as well as speech. 

In spite of the restricted data of YouTube, the model made not more than 30% of word faults on average in 73 languages, a feat never attained before it. As per the researchers, USM Automation surpasses OpenAI in every aspect of speech identification.  

The Machine Learning of Google

Google has utilized about 1,000 languages that are widely spoken in the world to make a machine-learning model. It was first rolled out in November 2022. Although, some of these languages are spoken by not more than 20 million people. 

This clearly means that the new Universal Speech Model of Google will be capable of giving more precise detail in all languages. 

It is very interesting to know this update from Google. It will open the doors of more flexibility related to the languages spoken over the world. 

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