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What to Consider When Choosing a Phone Plan

There is a vast variety of international mobile phone plans to choose from, which might be confusing at first.

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Daily, you can tap at your preferred applications on your phone. It’s so simple to remain in touch with friends and family. During foreign travel, your phone takes on a new significance. While traveling, you may stay in touch with loved ones back home, share images of your adventure on social networking sites, and look for the best hotels and restaurants using your smartphone. Maps! You’re going astray! There is a need for translation! Use a currency converter if you don’t know how much anything costs!

There is a vast variety of international mobile phone plans to choose from, which might be confusing at first. Before leaving on a trip, make sure you know all there is to know about international travel mobile plans, sim cards, and WIFI. Keep reading because we know your mother has been wondering how to stay in contact with you.

1. What duration are you planning on being gone?

Are you just planning on being gone for a few short weeks? Check to see whether your phone is in airplane mode or if you have free-roaming on your phone. As a result, you may depend on WiFi and an inexpensive burner phone to make calls in case of necessity. A local sim card may be acquired at a low cost if you already have an android smartphone. Show the phone store your passport and ask for the best deal.

Consider a prepaid mobile travel plan if you intend to remain abroad for more than a month and are looking for the finest international phone packages. Data caps, 3G and 4G networks, phone rates, and text messaging options may vary by country. Decide for yourself what is best for you.

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2. Is it more cost-effective to purchase a phone and a data plan in the same country?

Once you’ve arrived in a new country, you’ll likely discover that a local plan is usually a cheap mobile plan that is more cost-effective. In particular, the answer to this question is determined by where you want to go. Thailand, for example, offers four months of unlimited Internet service for about $30 (a huge bargain!). Joining ex-pat Facebook groups in your target location is the greatest way to find the finest foreign travel mobile phone plans before arriving.

3. Is your mobile phone unlocked?

Carry an android smartphone from home if you want to go abroad for an extended period. An active phone plan isn’t required, and you don’t make payments on your device. Alternatively, you may buy reconditioned and jailbroken smartphones on Amazon for a low price.

Research if the free phone model would still operate with a foreign network before making a final purchasing decision. For those who want to travel throughout the world, owning an Android smartphone is a good option since you can easily switch to a local sim card whenever you need to.

4. Are you taking a trip or going to school abroad?

Keep your screen time to a minimum when you’re volunteering overseas so that you can completely engage yourself in your work. Yes, it would be good to be able to use your phone to communicate with your family while you’re away. Nonetheless, keep in mind that you are assisting a community and that you do not have to share pictures of yourself and the children with whom you are working all the time.

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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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