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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

The Low-Code/No-Code Movement Builds in Speech Technology

Programming speech applications is becoming easier for people outside the IT department.

Accents Still Elude Speech Recognition Systems, But for How Long?

Speech technology vendors are more aware of accent and dialect discrepancies and are working to address them.

The Top Speech Technologies and Vendors: The 2022 Speech Industry Awards

Advances in AI, machine learning, natural language processing, and more fueled speech industry progress in the past year.

2022 Speech Industry Award Winner: Deepgram Is the Startup Speech-Enabler

Some could argue that Deepgram reinvented automatic speech recognition (ASR) with a complete, deep learning model that yields faster, more accurate transcriptions with lower hardware and usage costs. Now the vendor is giving away $10 million in free speech recognition to developers.

Industry Voices

Uncover Hidden Gems in Your CX Data with AI by NICE

The Need for Continuous Speech Recognition Testing

Conversational AI and voice have to be tested to ensure that they work flawlessly.

The Risks Posed by Biases in Voice and AI

Artificial intelligence is still a novel concept with its own unique benefits and flaws. This is how it will integrate into sales, marketing, and customer interactions.

Making our Voices Heard: The Growth of Voice Recognition During the Pandemic 

Voice technology has allowed people to stay connected, and the best is yet to come.

Columns

Why Can’t Speech Tech Have a New York Accent?

With a population of 8.8 million within the five boroughs, and nearly 19 million if you include the suburbs, one would be hard-pressed to call the New York metro area a small subset of any U.S. population group.

Reality Isn’t Sci-Fi—It’s More Startling

Speech tech, like all tech, keeps getting more mind-blowing.

The Brain-Computer Interface: The Frontier of Speech Tech

BCI offers hope for assistive technologies that help people who can no longer articulate speech.

Real-Time Guidance: Help for Agents and Customers

These AI solutions listen to and understand both sides of the conversation.

Speech Technology Reports and Research

Active Voice Biometric Authentication - What Is It and How To Use It

Sponsored by LumenVox

Learn More about Contact Center AI!

Sponsored by Observe.AI

How Call Progress Analysis Optimizes Call Routing

Sponsored by LumenVox

Introducing Next Generation Automatic Speech Recognition

Sponsored by LumenVox

Natural Language/Machine Learning/Cognitive Learning Companies and Suppliers