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Tips on Finding the Right Custom Keyboard App

Tips on Finding the Right Custom Keyboard App. list of top 10 keyboard apps and discovered some even better customizable keyboard apps

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Tips on Finding the Right Custom Keyboard App

Although I have been using a specific custom keyboard app for a while, I stumbled across this list of top 10 keyboard apps and discovered some even better customizable keyboard apps. I will add the link below so you can check out the menu but keep reading on to find out what I discovered in my search for finding custom keyboards with different features.

Top 10 Keyboard Apps

Depending on what you spend the most time doing on your smartphone, custom keyboard apps have different features that can make your experience or content more creative or productive.

1. For Better Speed, Feel, & Swiping

Some customizable keyboard apps make virtual typing easier and feel better. Especially if you are always using your phone for work or business, you need a manual that delivers fast speed, not one that will freeze or lag.

For example, a fast keyboard app will offer features like predictive autocorrect as well as the use of gesture control. Swiping gestures help control functions like punctuations, deletions, and autocorrecting. Different apps function for various reasons.

For instance, you can get an app that allows you to count how words you can type per minute, which can help you improve your typing skills. Another keyboard app can offer AI to help with the prediction of text, which can also help you gain speed in your typing. Lastly, you can get an app with a cloud-based prediction feature that finds word trends which can be used to support faster typing.

Among other great features, keyboard apps also offer voice and gesture recognition. For example, the Gboard is one of the fastest and most customizable keyboard apps out there for non-Apple users. With a simple swipe gesture, your customizable keyboard app can bring you the latest news or weather updates.

To add, with your customizable keyboard, you can create distinctive swipes and moves, basically anything you frequently use to make the action faster.

2. Privacy Policy & Personal Dictionary

Many keyboard apps that are made by third parties must follow a strict privacy policy. This is important to make sure that your personal and private information is not released with authorization from you.

Also, many apps can learn about words or slang or your actions as you use your phone. Moreover, apps also learn from news and trending words to make up a different dictionary for your predictive text. There also feature important tasks like copy, paste, or cut.

With keyboard apps, you can also choose how you type. For example, you can use swipe texting, which the app will use its programming to remember your swipes and collect predictive text based on your commonly used words.

Therefore, you can find keyboard apps that feature things like word deletion, crowd-sourced dictionaries that include new slang phrases or words, and additional customizable options.

Keyboard apps can also sync your different dictionaries to all your devices through the cloud. If you opt for a premium app, you can also enjoy features like an extensive gallery of emojis, a variety of predictive text settings as well as word suggestions. Most apps will have a bottom row that allows you to customize even more.

Such as changing the size of the text, changing the language of the book, or adding different shaped keys and search buttons.

3. Design & Personal Imagery

Yet, if you’re not interested in an over-complicated keyboard app, you can find apps with a sleek and minimal design to ease and quicken your typing rate.

Although they may offer loads of great options for GIFs, themes, and fun animations, these apps remain sleek in design and relatively simple to use. Also, these apps can be customizable in the size of their text and typing keys.

Although these minimally designed apps are useful for their sleek look and use of minimal resources, they are still abundant in different aspects. For one, they still have loads of wallpapers, emojis, animations, and art to choose from. Second, they feature night mode and battery saving mode to keep the resources need down to save the life of your battery and smartphone.

4. In Conclusion

In conclusion, if your looking for a keyboard with all the bells and whistles and can be completely customizable to your every need, check out the apps listed in the top 10 links above, I am sure you’ll find one on the list.

Yet, if you’re more like me, and want something clean and concise, but offers a range of options, I am sure you will find one to your liking as well. Keyboard apps can make your life a lot easier and make your communications a lot faster.

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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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