Applications of Voice AI
Companies in various sectors are adopting voice AI to improve productivity, accuracy, and communication with customers.
FREMONT, CA : Speech recognition has become increasingly important in daily lives as more people use Virtual Personal Assistants (VPAs). Phones, computers, and even home appliances are becoming more reliant on artificial intelligence (AI) and machine learning due to voice-driven apps such as Alexa, Siri, Cortana, and Google's many voice responsive features. These are also increasing people's dependency on artificial intelligence (AI) and machine learning through voice.
According to Globe Newswire, the voice and speech recognition market are projected to hit $26.8 billion by 2025. It is focused on the market of consumer adoption of virtual personal assistants (VPAs) and other innovative technology. Here are some of the popular applications of voice AI.
Nowadays, companies from telcos to telemedical providers are working to make voice recognition a norm in their product offering. These aren't the only sectors that will profit from this voice AI.
Empowering frontline staff in manufacturing, logistics, and field service with voice recognition technology will improve efficiency and accuracy in a world of advanced, connected machines. Deeper connections are being made more rapidly by neural networks, while crucial factors such as better algorithms and higher user volume enable more accurate and complex connections.
Enriched Gaming Experience
The most popular games today are focused on providing an immersive experience. For example, Westworld: The Maze on Amazon's Alea depends solely on audio to direct viewers around the fantasy world. Voice is even used to call out strategy, the track moves, and make decisions in fantasy, sandbox, and esport games where the teams play against each other. Mood, tension, and even behavior monitoring may indicate the difference between winning and being a low-ranking team. It is a glimpse of what voice AI can do in the gaming world.
Customer satisfaction is critical for call and service centers. Call centers will see the customer's state-of-mind with on-screen emojis or live to coach if they have the ability to interpret and predict behaviors based on voice mapping (data based on non-content features of expression, like arousal, intonation, and focus).
There is a pressing need to enhance business connectivity, productivity, and applications from banking to gaming. This demand is extending from the developing markets to leading markets.
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