Natural Language/Machine Learning/Cognitive Learning

Natural language, machine learning, and cognitive learning are the technologies that underly most Artifical Intelligence applications. Natural Language Processing (NLP) helps computers interpret and manipulate human language; Machine Learning (ML) provides systems the ability to automatically learn and improve without being explicitly programmed. Cognitive Learning (CL) combines ML and NLP. See below for the latest news and trends in NLP, ML, and CL.

Features

Sentiment Analysis Moves into Voice Interactions

Advances in AI make sentiment analysis a viable tool for conversational insights.

AI Teaches Avatars How to Talk

Lip sync solutions increase immersion and drive user engagement.

Succeeding in the Battle Against Deepfakes

New AI tech is helping detect voice and video fraud attempts.

AI Is Rapidly Automating Audio Content Generation

New solutions lower costs and improve voice quality.

Industry Voices

Why Better Client Tracking Starts With Better Capture of Spoken Clinical Interactions

Modern AI-powered speech recognition and audio capture tools improve clinical documentation accuracy, streamline client tracking, reduce provider burnout, and enhance patient care.

Voice AI: The Dos, the Don’ts, and What’s Next [Featured on DestinationCRM]

Bridging Speech and Hearing: How Audiology Advances Are Powering Next-Gen Voice Recognition

Advances in audiology are teaching machines to listen and hear similarly to humans, which can increase the quality of voice recognition and other auditory technology.

Why Voice AI Is the Next Frontier in Customer Conversations

Conversational AI is now mature enough to support real, human-sounding voice interaction. (Featured on SmartCustomerService.com.)