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Ethernet vs Wi-Fi

As many were busy using the internet on their mobiles and laptop through Wifi they forgot about the benefits of an Ethernet connection.

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The internet is a technology that we use on day to day basis. We are using the internet daily in some way, shape, or form, whether intentionally or unintentionally, directly or indirectly, but the fact of the matter is that this is technology has become part of our lives. This usage has become so normalized that we are using the internet now without even knowing it, as most of our devices are powered by the internet and we don’t pay much heed to it.

This is the age of IoT or the internet of things in which the internet has transcended from just being a service to manifesting physical form. The devices that we regularly interact with during our day-to-day lives like smartphones, smartwatches, smart TVs, laptops, computers, tablets, and many other technological gadgets that are powered by the internet are physical examples of IoT.

But how did we reach this point? Well, to understand that we have to dig up the past of the internet and the systematic rise of this technology. Back in the day, the internet was a sophisticated new technology that was developed by DARPA as an efficient data communication tool to transmit sensitive information and data between different governmental and military departments of the United States.

Soon the world realized the potential of the internet and its infrastructure started expanding to incorporate big corporate houses and universities. By the early 90s, the internet started becoming commercialized and was finally in the reach of the general public, still not completely though.

In the early day of the internet’s commercialization, it was quite expensive and out of reach of a major section of people. Plus, the dial-up connections had an awful speed and they were not quite as efficient. It further took almost two decades for the internet to improve and enhance its technology to include more areas, increase the speed, and reduce the cost. That is why we see that today the internet is available at incredibly low prices even for high-speed packages, still don’t believe us? Click here to find out.

The cost factor has also been a major component that has given an immense boost to the popularity of the internet and has allowed so many people to use it. That is why today we see that getting an internet connection is neither costly nor difficult, but to get the right connection, well that’s a whole different story.

1. Pandemic and the Ethernet Trend

When the pandemic happened and suddenly the load on the internet connection increased drastically. As the members of a household were all present in the house at the same time and were using the same internet connection to perform quite heavy tasks. These tasks included work from home, online classes through video conferencing, playing online games, and streaming on the internet.

And to be clear, all these tasks were mostly carried out by different members of a family simultaneously. That is why internet connections were under extreme loads and eventually, speeds of these connections plummeted. This meant that nobody was getting the desired speeds and there was difficulty doing important tasks over the internet. During these times many questions popped up on how the speed of the internet could be increased and the most common answer was to switch to an Ethernet connection.

This answer was quite right as well, and before the pandemic, many didn’t even know there was an Ethernet connection. As many were busy using the internet on their mobiles and laptop through Wifi they forgot about the benefits of an Ethernet connection.

Similarly, the new generation didn’t even have any idea what Ethernet was but after the pandemic, many connected their laptops, computers, and even gaming console to the Ethernet port to enjoy the actual speed of the internet. Some of these users were doing this for the first time while others had already done this practice in the past. In simple terms, both Wifi and Ethernet cable are transmission mediums that supply a device with the internet both have their advantages and disadvantages and we are going to discuss those in details

2. Pros and Cons of Ethernet and Wifi

In the below-mentioned list, we have singled out the most important components in an internet transmission medium that are speed, reliability, and mobility. And we are going to look in retrospect at how Ethernet and Wifi transmission mediums work in these areas.

3. Speed

If we talk about speed then Ethernet connections perform slightly better. However, to understand this, we need to look into the technicalities that make up the internet speed. There is bandwidth which translates to the amount of data that can pass through a transmission medium and then there is latency the time a data packet takes to reach from one end to the other.

These two things make up the speed and both these components perform better in Ethernet due to it being a wired medium so the data moves faster along the cable and latency is low due to fewer packet loss, something which all wireless connections include Wifi are quite susceptible to.

4. Reliability

In terms of reliability, the Ethernet takes the cake here as well. That’s because it being a wired connection means that users get a stable flow of data in comparison to Wifi in which everything depends on the signal strength and where there are poor signals the data is unable to be transmitted properly thus experiencing data loss and a slow connection overall.

Plus, with Ethernet, the connection only stops when the wire gets damaged or there is some problem with the modem apart from that it keeps on working. While in Wifi, the connection is lost if the receiving device is not in the range of signals or if the signals got interfered with by other electronics like microwaves.

5. Mobility

It’s a no-brainer that this is the aspect where Wifi shines because the whole purpose of connecting to a Wifi network is to freely move while being connected to the internet. This is the biggest limitation of Ethernet connection that they restrict the mobility of their users and the user can move as far as the cable length.

Then there are problems of cable entanglement and shifting the workspace in that case the cable needs to be installed in a new place which is a lot of hassle. However, if mobility is your main concern and you are ok with the Wifi not performing well in the other two sections, you can go with a Wifi connection.

6. Conclusion

Ethernet and Wifi are both very important transmission mediums as both have certain advantages that they bring to the table. That is why an optimal network is the one that works in conjunction with both Wi-fi and Ethernet connections where Wifi gives the necessary option of portability and Ethernet provides the reliability and efficiency of connections. While the choice of selecting these transmission mediums should depend on the nature of the activity being performed on the internet.

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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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