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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 in 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. 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 this 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 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 most 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.

We are an Instructor, Modern Full Stack Web Application Developers, Freelancers, Tech Bloggers, and Technical SEO Experts. We deliver a rich set of software applications for your business needs.

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How to Drop a Pin on Google Maps

This is where dropping a pin on Google Maps comes in handy. Dropping a pin allows you to mark a precise location on the map and even share it with others.

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How to Drop a Pin on Google Maps on Mobile and Desktop

If you’re someone who frequently uses Google Maps, you may have come across situations where you wanted to mark a specific location on the map. This is where dropping a pin on Google Maps comes in handy. Dropping a pin allows you to mark a precise location on the map and even share it with others.

Are you looking to mark a specific location on Google Maps? Maybe you want to save a spot you’ve found while exploring, or perhaps you’re trying to share a meeting place with someone. Whatever the reason, dropping a pin on Google Maps is a quick and easy way to mark a location. In this guide, we’ll go over the steps on how to drop a pin on Google Maps.

Step 1: Open Google Maps

The first step to dropping a pin on Google Maps is to open the Google Maps website or app. You can do this by typing “Google Maps” in your web browser or by opening the Google Maps app on your phone.

Step 2: Search for the location

Once you’ve opened Google Maps, search for the location that you want to drop a pin on. You can do this by typing the name of the location in the search bar at the top of the screen.

Save the Pin - How to Drop a Pin on Google Maps

Step 3: Long-press on the map

Once you’ve located the area that you want to drop a pin on, long-press on the map where you want to drop the pin. On a computer, this is done by right-clicking on the map. On a mobile device, you can long-press on the screen until the pin drops.

Step 4: Add details

After you’ve dropped the pin, a small box will appear with the location’s details. You can add additional details about the location, such as a name or description, by clicking on the box and selecting “Add a label”.

Step 5: Save the pin

Finally, to save the pin and access it later, click on the “Save” button that appears when you add a label. You can then access your saved pins in the “Your places” section of Google Maps.

That’s it! Dropping a pin on Google Maps is a simple process that can come in handy in many situations. Whether you’re trying to mark a meeting spot or a scenic viewpoint, dropping a pin makes it easy to find and share the location with others.

 

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