While the concept of deep learning certainly isn’t a new one, the school of thought has taken tremendous strides in recent years. Much like the human brain—which is unmatched in its ability to recognize patterns (for now)—we are beginning to unlock ways to more efficiently teach machines to memorize sounds, images, text, speech, and other data.
Voice Analytics Blog
Human Transcription or Transcription API? How Switching to Automatic Call Scoring and Analytics Can Save You Valuable Resources
One of the ways that automation technology is improving the way that we do business is through Automatic Speech Recognition, or ASR.
Neural networks and machine learning, now widely referred to as deep learning, are defined as a machine’s ability to pick up on patterns and learn from experience to perform tasks, much like the human brain.
At VoiceBase we believe speech analytics is a game of “what is most likely to have been said here”. Various companies have different strategies on how to answer that question with the highest degree of accuracy.
Machines are getting smarter. That’s because they incorporate deep learning, or the training of artificial intelligence to understand and teach itself based on human input.
Contact centers are on the front lines of shaping a customer’s experience, which gives them the perfect platform to enact predictive analytics in order to improve customer satisfaction, loyalty and retention.
Insight utilizes predictive analytics to match all future calls to certain call classifiers, which can be unique for every customer.