10 key predictions for voice technology to watch in 2022

Systems like Alexa and Siri have created a new area of ​​cognitive science research that examines the effects of conversational devices interacting with humans. With the onset of the pandemic, contactless technologies such as assistants and voice-activated applications have helped reduce and eliminate points of contact and increase security. With the increasing use of smartphones, voice technology has also experienced rapid growth. Voice interfaces are growing exponentially in all sectors, with significant advances in healthcare and banking. Several companies are launching their own voice technologies to meet market demands. In this article, we’ve listed the top 10 key predictions for voice technology in 2022.

Push voice notifications

Voice notifications are valuable tools that allow users to interact more with their devices. Notifications are useful for reminders, promotions, and information. Push notifications can help businesses have a better chance of reaching their audience. Voice assistants are designed to connect third party applications for voice push notifications.

Voice-activated chatbots will continue to increase

As voice technology develops, business leaders are rolling out a slew of new applications, leading more and more consumers to turn to voice engagement. Voice-activated chatbots offer several benefits, such as faster responses and zero wait, better two-way interactions, improved customer experiences, and fraud detection, to name a few.

Incoming calls and Smart IVR with the NLU characteristic

Advanced Interactive Voice Response (IVR) and a call tracking system can dramatically improve sales and customer satisfaction. Businesses can use intelligent virtual agents powered by NLP engines to respond to customer queries in real time or create outbound calls with the click of a button. Implementing an intelligent call tracking system in a corporate IVR can create robust data that can be used to drive sales for outbound processes.

Voice search will be highlighted for local search

Online search trends show that users are increasingly looking for local results. Consumers are using voice technology more to find local restaurants, establishments or locations. For local searches, voice assistants can suggest voice search entries optimized for local SEO. They only provide quotes from reliable sources, which is how voice search works.

Smart speakers will drive voice search adoption

Experts believe that the number of people using smart speakers will increase further in the future with the implementation of 5G networks. Currently, the most common use of a smart speaker involves playing music, forecasting the weather, and general online research. Researchers predict that smart speakers can be used for more serious activities such as managing finances, booking hotels and flights, and other activities.

Voice cloning

Voice cloning is a process that uses machine learning along with neural networks to generate realistic human-language text-to-speech platforms to mimic the way the brain processes human language and is exceptionally efficient in data learning models. With the help of AI, neural networks and cloud-based GPUs, start-ups can create a computerized voice and make it indistinguishable from a natural person’s voice.

AI and ML in Voice will grow further

Advances in AI and ML have had a huge impact on the way we interact with our smart devices and search the internet. Google RankBrain is a great example designed to recognize phrases and words to learn instructions and get nearly appropriate results. The growing use of AI-powered devices means search algorithms must evolve not only to accommodate machine learning, but also to support the growing use cases of voice technology.

Conversational AI in video game stories

The importance of text-to-speech and speech recognition cannot be ignored in creating a more immersive gaming experience. This is not an easy task, given the vast possibilities of the different types of voices. But generative neural networks are machine learning tools that make this possible.

Voice search transforms SEO

The global movement to perfect voice technology means that marketers will need to regularly innovate their SEO strategy to optimize voice search. Businesses looking to attract as much inbound traffic as possible should implement Voice SEO to move forward.

Enhanced personalized experiences

Personalization is crucial to building meaningful relationships with customers. Businesses can use ML and NLP along with sentiment analysis to identify the true meaning of customer requests and queries. By identifying these intentions and goals, brands can generate precise responses for customers.

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