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How to Record the Screen on Your Windows PC?

If your current screen recording software hasn’t been able to meet your needs, the iTop Screen Recorder should be able to help.

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What is iTop Screen Recorder and how does it work

Whether you’re a gamer who needs to record your screen to capture gameplay footage or you are a professional who frequently creates video tutorials or records a screen for other reasons, having the best screen recording software at your hands is essential.

If your current screen recording software hasn’t been able to meet your needs, the iTop Screen Recorder should be able to help.

1. What is iTop Screen Recorder, and how does it work?

iTop Screen Recorder is a free screen recording tool that allows you to perfectly record and capture your screen. It also has a simple built-in video editor that can be used to edit videos. You can record your audio, video, and webcam all at once with iTop Screen Recorder.

It also adds 4K video capabilities, allowing for high-quality video recording. You can also adjust the recording area by selecting full screen, a particular window, or a specific area on the screen.

2. When do you need to use it?

You can rely on iTop Screen Recorder for all your screen recording needs, whether you are a gaming lover or a professional unhappy with your current screen recording software. The iTop Screen Recorder is the best screen recording tool for simple video recording and editing. To top it off, you can easily upload your recorded videos to any major video-sharing network. That is, certainly, a fantastic package!

How to Record the Screen on Your Windows PC

3. iTop Screen Recorder’s Highlights

iTop Screen Recorder has many features that should make your screen recording experience a pleasant one. The following are some of its feature highlights:

  • Ability to output high-quality video from any region on the screen.
  • Simultaneous audio recording from both the speaker and the microphone.
  • Webcam overlay in videos and mouse click effects of cursor highlight and click animation.
  • Recordings of full-screen HD video games with the GPU acceleration technology.
  • There is no time limit on recording and no watermarks in videos.
  • Taking screenshots in videos has never been easier.
  • Support for most popular video formats, including MP4, FLV, AVI, MOV, and MKV.
  • Basic video editing features of adding subtitles, BGMs, and filters.
  • Quick-share for sharing videos to Instagram, Twitch, Facebook, and YouTube.

Pros:

  • No recording time limit.
  • No watermark on this video.
  • Popular video and audio formats are available.
  • Hotkey for collecting screenshots is available.
  • Voice capture and Facecam are included.

Cons:

  • The free version has a default watermark.
  • The free version doesn’t support GPU acceleration.
  • Only compatible with Windows PCs.

4. Conclusion

iTop Screen Recorder is an ideal free tool to record the screen, webcam, and voice on the Windows PC. It has no time limit, no default watermark, and easy-to-use for everyone. If you want to make screen recording enjoyable and straightforward, get iTop Screen Recorder today and use a variety of great recording features for free.

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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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