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What Is a VPN, and Why You Need One

Situations like this are a prime example of how a VPN can be helpful in everyday life. It’s a method of hiding your VPN use completely, so when an ISP looks at your traffic, they can’t even tell you’re browsing safely under a veil of anonymity.

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Reasons To Start Using a VPN

By now, the most considerable majority of the world’s internet users are familiar with at least one VPN provider and have at least a basic understanding of how they work. Hiding your IP address from your ISP seems the most popular reason to use one, but somebody tends to ignore that it’s not the only one.

Aside from helping you maintain some privacy in a world saturated with different types of surveillance, there’s so much more they can accomplish in your day-to-day struggles to remain anonymous.

1. Say goodbye to your ISP’s eavesdropping

For the most part, anyway. If you’re an internet user in the United States, then odds are you get your internet service from one of the more popular ones dominating the market right now. You’ve got Charter Spectrum, Dish, Verizon, Comcast, and more than a few others out there to choose from that ultimately offer just about the same thing: Internet service that comes with round-the-clock surveillance.

Some people think that using Private Browsing mode is enough to stop their ISP from seeing their every move. Sadly, it does nothing to help in that regard. Private Browsing is simply a way to ensure your computer doesn’t save and back up the history and cookies from your session but doesn’t do much else.

With a VPN and some help from vpnbrains.com, all traffic on your computer is encrypted from end-to-end, meaning even the hand that feeds might have a hard time tracking what you do. Bear in mind, they don’t wholly hide everything but instead, add an extra layer to your armor of anonymity. You can still be tracked, just not as quickly.

2. Location spoofing

When I worked as a freelancer, from time to time, I would have a friend of mine from Lagos, Nigeria, give me a hand with some of the writing tasks. Still, though he did bear and was raised in Lagos, he studied hard, had a great understanding of the English language, and was more than capable of helping me out. But since I was already busy with other assignments, having to approve his login to my freelancer account every time he wanted to help.

After some research, we decided to have him log on while under the protective veil of my NordVPN account with the location set to somewhere in the United States. Believe it or not, that was the last time I had to approve one of his logins. As long as he remained in the exact location on the app, with the same browser he used as before, he was able to come and go as he pleased.

“Yes, Google, he’s still Nigerian.” thanks to that, we could take on twice as much work and provide more than enough to keep our families fed. Not only that, but it saved me a few headaches approving all those push notifications.

What Is a VPN, and Why You Need One

3. Different prices depending on where you are in the world

One prevalent example of this is the gaming platform, Steam. Depending on the title, you can sometimes find that the price is lower in a foreign country, like Chile, for example, compared to its United States-based counterpart. The difference in money spent may not be so significant to some, but all those struggling to make ends meet while still needing a game to escape reality from time to time may find this pretty helpful.

4. Freedom of speech

Even though this particular concept was a prominent part of the constitution and the laws that formed our country, we don’t have complete freedom of speech, whether we want to admit it or not. All it needs is the right set of words said at the wrong point in time, and your space can be stripped in an instant.

Situations like this are a prime example of how a VPN can be helpful in everyday life. Thanks to its end-to-end encryption and altered geolocation, journalists and activists alike can speak their minds with at least a tiny bit of protection for a change.

5. End-to-end encryption

Any time you send a message over the internet, you run the risk of someone intercepting it somewhere along the line. Apps like Messenger and Google Chat don’t encrypt their notes as they’re being sent, so anyone with a moderate understanding of black hat hacking can intercept those messages at some point in between. With a VPN, the statements they block show up encrypted and unreadable, helping to keep your conversations private just like they should be.

6. Bypassing geo-restrictions

All over the world, different countries are cracking down hard on cybercrime and any dealings held over the world wide web. Some nations have even taken steps to ban specific programs or the internet altogether within their borders. But with the help of a VPN, the user can change their geolocation and bypass the walls put in place by their government, making it seem like they’re in another country altogether.

You can get it a step further using what some call “double obfuscation.” It’s a method of hiding your VPN use completely, so when an ISP looks at your traffic, they can’t even tell you’re browsing safely under a veil of anonymity.

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Internet

How do collect and train data for speech projects?

Data collection is the process of gathering, analyzing, and, measuring accurate data from diverse systems to use for business process decision-making, speech projects, and research.

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How do collect and train data for speech projects

With technology evolution, we are moving towards machine learning systems that can understand what we say. In our daily lives, we all have encountered many virtual assistants like Alexa, Siri, and others. These virtual assistants often help us in tuning the lights of our homes, finding information on the internet, and even starting a video conference. But do you know how it does that?

To produce results, these virtual assistants use natural language processing to understand the user’s intent. Natural Language Processing technology enables virtual assistants to understand user intent and produce outcomes. Basically, these virtual assistants are applications of automatic speech recognition and are also known as speech recognition software. This software uses machine learning and NLP to analyze and convert human speech data into text.

But, attaining maximum efficiency of these software requires the collection of substantial speech and audio datasets. The purpose of collecting these audio datasets is to have enough sample recordings that can be fed into automatic speech recognition (ASR) software.

Furthermore, these datasets can be used against the speakers using unspecified speech recognition models. And to make ASR software work as intended, speech data collection and audio datasets must be conducted for all target demographics, locations, languages, dialects, and accents.

Artificial Intelligence can be as intelligent as the data given to it. Hence, collecting data for feeding the machine learning model is a must to maximize the effect of ASR. Let’s discuss steps in speech data collection for effective automatic speech recognition training.

1. Create a Demographic Matrix

For creating a demographic matrix, the enterprise must consider the following information like language, locations, ages, genders, and accents. Along with these, it is a must to note down a variety of information related to environments like busy streets, waiting rooms, offices, and homes. Enterprises can also consider the devices people are using like mobile phones, headsets, and a desktop.

2. Collect and transcribe speech data

To train the speech recognition model, gather speech samples from real humans and take the help of a human transcriptionist to take notes of long and short utterances by following your key demographic matrix. In this way, human is a vital and essential part of building proper audio datasets and labeled speech and further development of applications.

6 Reasons to Transcribe Audio to Text

3. Build a separate test data

Once the text subscription is completed, it’s time to pair the transcribed test with the corresponding audio data and segment them to include one statement in each. Later on, take the segmented pairs and extract a random 20% of the data to form a set for testing.

4. Train the language model

To maximize the effectiveness of the speech recognition model, you can train the language model by adding general additional text that was not additionally recorded. For example in canceling a subscription, you recorded one statement that ‘I want to cancel my subscription, but you can also add texts like “Can I cancel my subscription” or “I want to unsubscribe”. To make it more effective and catchy you can also add expressions and relevant jargon.

5. Measure and Iterate

The last and important step is to evaluate the output of automatic speech recognition software to benchmark its performance. In the next step take the trained model and measure how well it predicts the test set. In case of any gaps and errors, engage your machine learning model in the loop to yield the desired output. 

Conclusion

From travel, transportation, media, and entertainment, the use of speech recognition software is evident. We all have been using voice assistants like Alexa and Siri to complete some of our routine tasks. To effectively use this speech recognition software requires proper training in the audio datasets and the use of relevant data for the machine learning model.

Proper execution and the right use of data make sure the speech recognition software going to work efficiently and enterprises can scale them for further upgrades and development. As data and speech recognition go hand in hand, make sure you are using data with the right approach.

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