How AI can help in voice Technology


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In today’s technologically advanced world, the interaction of AI with humans no longer feels like science fiction. Instead, we see it as a natural part of our lives, similar to touchscreen phones and the internet. AI automation has the potential to change the way businesses interact with their global customers. With its seamless experience and the ability to provide a range of services, voice AI is a new addition to the list of fast-growing technologies.

With an understanding of how vocal cord vibrations produce particular sounds, AI can easily copy a voice. These patterns are then used to produce new, comparable sounds that can imitate the original voice. In voice cloning technology, artificial intelligence (AI) is used to mimic a person’s voice. It is possible to duplicate someone’s voice or create a new voice that is similar to the original using this technology. Voice cloning allows for the creation of artificial voices for digital assistants, the creation of voice-overs for movies and video games, and the development of new voices for communication devices. Continue reading this article to learn how AI works in voice technology.

What is voice AI?

Conversational AI receives and interprets voice commands to simulate human-like conversations with users. Devices using this technology can interact with and respond to human questions in natural language. Some examples of voice AI are Siri, Alexa, and Google Home. We have all had conversations with Siri, Alexa, or Google Home.

Use of AI in voice technology

Voice AI works similarly to two people communicating with each other in that the message is encoded and decoded. We will go over how AI works step by step below.

  •  Understanding  and converting speech to text

The first step is to understand the speaker’s speech. The generated sound waves from the speaker must be interpreted and analyzed in order to be broken down and converted into text fractions. For this step, most organizations employ the pre-speech recognition technique. AI can break down the user’s words into groups. The system can then easily understand the words that have been converted into bits.

  •  Filtering ambient sounds

There is a possibility that AI will detect ambient sound from the words that the user speaks. While driving and communicating with a call center, nearby disturbances such as horns and announcements may be captured in the call.

AI-based noise suppression works after recognizing human speech and further analyzing the audio feed. Deep neural networks that have been specially trained filter out the noise and retain only the speech signal, resulting in the crystal-clear audio output. It employs deep machine learning to effectively suppress noise.

  • Transfer to neural processing

The voice AI operating system is based on neural networks that mimic the neurons in the human brain. For speech recognition in AI, neural networks are extremely powerful. The data set that reaches the system is further subdivided to find the best match. After reading and analyzing every single piece of data and message, the AI attempts to analyze the meaning of each sentence and match the data with the best possible results.

  •  Syntactic and semantic techniques 

Syntactic analysis is concerned with “form” and syntax, which refer to the relationships between words in a sentence. The semantic analysis focuses on “meaning,” or the meaning of words as a whole, rather than just one word. The AI voice is now ready to take action. Using syntactic and semantic techniques for analyzing text, the AI gets a deeper understanding of the context under consideration. Then, for the grammatical rules, the syntactic analysis is further divided into natural language.

  •  Response evaluation

After carefully examining the user’s questions, the AI arrives at a set of conclusions. The algorithm then analyzes the most likely solutions and filters the responses to find the best match for the query.

  • Communicating with the user in the language

In the final step, The matched and selected responses are communicated to the user. The user is then given the answer to the query, and AI can convert the data into an audio format at the same time. The AI saves the response for future queries from the users.

Closing Thoughts

Communication with customers is an essential part of running an e-commerce business or any other business. We can significantly improve our communication with voice AI, which will improve your service provision and customer support. Using voice intelligence also reduces the workload and demands of employees, allowing them to focus on the tasks that are truly important. Speech recognition in AI has the potential to revolutionize how we communicate with machines and has numerous applications in a variety of industries.

Name: Sweta Kumari Panda

About the author: Sweta is an SEO content writer from Brahampur, Odisha, but currently lives in Bangalore. She is doing an internship in Digital Marketing and writing content for the leadership category. She graduated from Brahampur University in 2016 and has a degree in Mathematics (Hons).

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