How Neural Networks Recognize Speech-to-Text

Speech to text

Gartner experts say that by 2020, businesses will automate conversations with their customers. According to statistics, companies lost up to 30% of incoming calls because call center employees either missed calls or didn’t have enough competence to communicate effectively.

To quickly and efficiently process incoming requests, modern businesses use chatbots. Conversational AI assistants are replacing standard chatbots and IVR. They are especially in demand among B2C companies. They use websites and mobile apps to stay competitive. Convolutional neural networks are trained to recognize human speech and automate call processing. They help to keep in touch with customers 24/7 and simplify the typical request processing.