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Overview of the Best Screen Recorder in 2020

Overview of the Best Screen Recorder in 2020. screen recorders are essential tools and most convenient and directest way to preserve these instant messages.

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Overview of the Best Screen Recorder in 2020

In recent years, people’s growing dependence on instant messages reviewing is continuously increasing at high speed. More and more types of instant videos are becoming a part of our daily life.

For example, the demos, presentations, video calls, instant video clips shared on social media platforms, online lessons, etc., are more frequently appeared to help improve the working/studying efficiency, and also knock down space as well as time barriers.

That’s why screen recorders become an essential tool because it is the most convenient and directest way to preserve these instant messages. As there have been lots of excellent screen recorders launched on the market, we try to make things easier for you. Today, the best screen recorder that ranks high in 2020 will be introduced.

1. RecordAnyVid – The Best Screen Recorder Since Ever

RecordAnyVid is a powerful screen recorder available on both Windows and Mac systems. It allows users to capture the screen simultaneously with high quality.

RecordAnyVid - The Best Screen Recorder Since Ever

Also, the intuitive design of the whole program enables the most user-friendly user experience. Without putting a lot of work into it, you can grasp the application and use RecordAnyVid for capturing any activity on your screen.

RecordAnyVid has packed with many amazing and helpful features. Before getting started, grasp some of them ahead of all.

2. Highlighted Features of RecordAnyVid

  • Capture the screen with handful recorders and preserve the recordings to various standard formats like MP4, WMV, MOV, F4V, AVI, TS, GIF, MP3, WMA, AAC, M4A;
  • Webcam recording is available for adding the self camera, which is beneficial to professional gamers and online tutors;
  • More advanced adjustments are provided to customize the tapes in your personalized selections;
  • Use hotkeys to take full control of RecordAnyVid and use it to record screen more conveniently;
  • Real-time previewing mode is available for checking the recording condition of the completed ones.

Download RecordAnyVid on Windows/Mac

3. RecordAnyVid Free Trial VS Register Version

RecordAnyVid provides both free trial and register version for users to choose from. There are certain limitations implemented in the free trial version. But if you want to record some short video clips, it has already been enough for you.

The main limitations of RecordAnyVid free trail refer to:

  • The duration of the recordings can only be preserved in up to 3 minutes;
  • The clipping and trimming tools for adjusting the record in the previewing window are not available.

For beginners, it is recommended to try the free version for experiencing the features at first.

4. How to Record Screen with Audio on PC

Now let’s move on to preview how to record screen with audio using RecordAnyVid on PC.

How to Record Screen with Audio on PC

STEP 1. After installed RecordAnyVid, launch the program and enter Video Recorder’s main feed.
STEP 2. Preset the recording area according to your needs. Then also turn on system volume and adjust it to be the ideal one.

NOTE: As for microphone settings, it is recommended to disable it for lowering the noise level. But if you need it, you can turn it on as well.

STEP 3. Now you can directly click on the REC button to start the recording process. While recording, the drawing panel is available for you to editing the video as you like.

STEP 4. When the recording is done, click on the red stop button on the bar, then RecordAnyVid will navigate you to the previewing window. Finally, submit Save, and you can save the recording locally.

RecordAnyVid is the helpful and most easy-to-use screen recorder to help capture screen with the least effort. It deserves a try. For more information, you can visit the RecordAnyVid product page here.

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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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