How does artificial intelligence impact speech recognition technology

How artificial intelligence impact on speech recognition technology

One of the latest technologies that are impacting our lives immensely is artificial intelligence. Artificial intelligence has simplified our lives to create machines that think, analyze, and execute an action like humans. Owing to the wider application of this technology, we have witnessed a rise in the number of artificial intelligence certification courses, and the demand for AI experts has also risen. AI finds application in health care, robotics and other fields, but in this blog, our focus is going to be on the use of AI and its impact on speech recognition.

What is speech recognition?

Before heading further to understand the use of AI and its impact on speech recognition, let’s understand a bit about it. Speech recognition is technically known as automatic speech recognition (ASR), or speech-to-text recognition or computer speech recognition. It enables a program to process human speech in the written format. Many people misinterpret it as voice recognition, but the fact of the matter is that speech recognition focuses on translating speech from verbal format to text notes, but the voice recognition identifies the voice of the user.

There are myriads of speech recognition modules available, but the one that is enabled by machine learning and AI is far more efficient and effective. But the more advanced solutions use AI and machine learning. They sync in syntax, grammar, structure and composition of audio and voice to comprehend and process human speech.

The best system is the one that customizes and adapts the technology to the specific requirements, from language to speech. The key attributes of a good speech recognition program:

  • Language weighting: It ensures precise recognition by assessing specific words spoken more frequently in addition to the terms in the vocabulary that has been fed in the speech recognition program.
  • Speaker labelling: If there are multiple speakers, then the program analyses and tags the speaker’s contribution to the conversation with the speech labelling.
  • Acoustics training: It trains the system to adapt to the acoustic environment and the style of the speaker, like the pitch of the voice, volume and the pace of speech.
  • Profanity filtering: This is yet another important feature. It actually filters out the wrong words or phrases and sanitizes the sentence. In simple words, it filters the sentence and makes it apt.

These are a few of the ways how an AI-enabled speech recognition program can help in better speech recognition and interpretation. AI is an impactful technology, and it can simplify a lot of our tasks without error and in less time. The objective is to enhance productivity.

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Result-oriented Technology expert with 10 years of experience in NFT, Metaverse, and web 3.0 Platforms. Passionate about getting the best ROI for the brand.

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Mike Alreend

Mike Alreend

Result-oriented Technology expert with 10 years of experience in NFT, Metaverse, and web 3.0 Platforms. Passionate about getting the best ROI for the brand.

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