Using AI in Language Apps: Transcription in Speech Recognition

Using AI in Language Learning Apps: Transcription and Data Collection in Speech Recognition

Artificial intelligence is slowly integrating in our lives. Many people do not notice how much AI has already swum its way into their daily lives. Millions of people use language learning apps to develop another skill while being stuck in a pandemic. These language learning apps use artificial intelligence such as speech recognition and transcription to further provide development for their customers.

The use of mobile phones and the internet has changed the way we communicate and live our lives. As curious human beings, we try to communicate with everyone as much as we can. However, it can be difficult to do so if you do not speak the same language. That’s why language learning applications that are accessible in a click of a finger are appreciated. It connects and builds bridges between communities all over the globe. Not only do we want to communicate through written means, we want to be able to develop the skill of speaking another language.

Using Speech Recognition in Language Learning Applications

Speech recognition helps develop the learner’s speech and pronunciation of the language. This isn’t intimidating for beginners as well because they are not talking to an actual person. The way speech recognition works in language learning apps is innovative and smart.

Talking to a native speaker is very intimidating for beginner learners. The speech recognition feature helps with removing the fear of making pronunciation mistakes through practicing with a bot.

For a speech recognition system to be integrated in language learning applications, translation and transcription must be at work. Developers must collect data from multiple languages, translate, and transcribe it for cross-referencing once the user uses their speech recognition feature. Developers must understand the top languages that are in-demand for language learning to easily prioritize these languages.

The Data Collection Process in Language Learning Applications

Language learning applications such as Duolingo, Mondly, and FluentU, need data to function. Data collection is essential for developing these apps for full use. The backbone of the application is its database of words and phrases in multiple languages. In order to collect these, they must avail data collection services in multiple languages. Once they have done their data collection method, they must cross-check it with their module. Doing this will help them build a more holistic approach in their users’ language learning journey.

High-Quality Transcription and Data Collection Services

As developers, you must always choose high-quality transcription services for your speech recognition systems. You must look for a transcription and data collection service provider that has the same goal as you: to provide quality and accurate services for language learners.

Creative Connections & Commons Inc. offers high-quality transcription services in over 30 languages worldwide. In the 10 years of being a multilingual service provider, we have developed the art of efficient translation and transcription. CCC’s data collection services provide access to native speakers from all over the world. Gather accurate and essential information that you need through CCC’s transcription and data collection services.

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