Translator Earbuds: The Latest innovation

Translation Earbuds: The Latest innovation 

Language translator earbuds are an amazing innovation that has been used to break through language barriers. If you work in an international work environment and travel abroad, The translator earbuds can be used very conveniently.

You should have translator earbuds in your ears if you are a traveler or international. In your regular basis conversation, they will help you most. 

Translator Earbuds

Translator earbuds are built with the ability to actively translate up to 40 languages and 93 accents in realtime. At a moment's notice, they connect instantly to your mobile device for translating different languages.

The language barriers could be removed by this invention. This invention can also make traveling- and doing business with other cultures- much easier.

With these amazing earbuds, if someone is speaking Japanese in front of you then the earbuds will feed you the English translation.

You should consider the following key factors before buying the Translation Earbuds:

• Languages' numbers: Before purchasing make sure the earbuds can translate the languages of your target. On comparing with the translation devices, the earbuds are still limited.
• OS should be compatible: In the world where we are living is powering by two competitive operation systems for most devices; iOS and Android. Therefore, before purchasing make sure the earbuds work with both iOS and Android so that you can use them on both iPhone or Android phones.
• Battery Life: Before purchasing these earbuds make sure that the battery life lasts at least 5 hours up. That's will be long enough to serve you.     

The Ericsson Consumer Lab in its 2018 annual trends report unveiled that 63% of the surveyed consumers said they would like “earbuds that can translate in real-time”. And by this, we can say that Augmented hearing is an emerging trend as part of what consumers are expecting for their next smart device’s features, including the real-time translation feature.

while using translation earbuds, the user is enabled to listen to a speech in a foreign language and get real-time interpretation through the earbuds into his native language eliminating the need for intermediary translation techniques such as interpreting or manual translation.

As you can see that there is a lot of translation earbuds have been developed by multiple companies, and they all are relying on different technologies and processes. Let’s take an overview at the latest industry addition, google pixel buds. By using Google Assistant, these wireless earbuds make a smart application that can speak to, understand, and assist the user. In recent years, real-time speech translation consists of a chain of several distinct technologies and each of which has experienced rapid improvement.

The first work of translator earbuds to record the background noise and interferences. And pick up the mixture of the user’s voice and other sounds. Background sounds are removed by “Denoising” while we use a voice activity detector is used to turn the system on only when the person who is speaking is correct. We improve VAD accuracy by using touch control. And after recording background noise there is a system that uses machine learning to identify what languages are being spoken within a couple of seconds. This can be very important because everything that follows is language-specific. To distinguish languages phonetic characteristics are alone insufficient, for language identification. So it is very important that completely new acoustic representations had to be developed.

Here is an explanation of further work, after that ASR (Automatic Speech Recognition)  uses an acoustic model to convert the recorded speech into a string of phonemes and then language modeling is used to convert the phonetic information into words. By using probability and a pronunciation dictionary, spoken grammar rules, context, ASR systems fill gaps of missing information and correct mistakenly recognized phonemes to infer a textual representation of what the speaker said.

Let’s be ahead, after that Natural language processing performs machine translation from one language to another. If you will notice, then you will see that this is not as simple as substituting nouns and verbs. But by including the decoding the meaning of the input, and then re-encoding that meaning of the input in a different language with all the nuances and complexities that make second languages so hard for us to learn.