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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 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.

2022 Speech Industry Award Winner: Dubber Turns Meetings into Meaningful Records

Dubber provides call recording and voice data solutions that are natively and uniquely hosted in the cloud, allowing its services to be embedded into third-party telecommunication and cloud collaboration platforms.

2022 Speech Industry Award Winner: LivePerson Centers on Conversational AI

LivePerson has been developing conversational technologies since its founding in 1995. A central piece in its technology portfolio for the past few years has been the Conversational Cloud, which the New York-based company launched in August 2020.

Industry Voices

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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

New Omnichannel Offerings Share the Power of NLU

Natural language understanding is enabling a budding omnichannel revolution.

Voice Privacy and Security Need Greater Attention

Privacy standards too often overlook voice data.

Analytics Is All the Rage

Thanks to innovations in AI, cloud computing, and NLP, advancements in speech analytics have been fast and furious.

Medical Practices Don’t Want to Be Pushed to the Cloud

Security/privacy concerns and administrative burdens plague cloud-based medical speech recognition.

Speech Technology Reports and Research

Enlighten AI for Customer Satisfaction

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How AI Speech Models Work

Sponsored by Deepgram

Learn More About These Speech Recognition Use Cases

Sponsored by Deepgram

Learn How Customer Sentiment Affects Your Bottom Line

Sponsored by Verint

Natural Language/Machine Learning/Cognitive Learning Companies and Suppliers