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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 2021 Speech Industry Awards

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

2021 Speech Industry Award Winner: AppTek Takes Captioning to New Screens

AppTek has a long history of innovation in the areas of artificial intelligence, speech recognition, machine translation, natural language processing and understanding, and text-to-speech technologies, and finally it is getting the worldwide recognition it deserves.

2021 Speech Industry Award Winner: Deepgram Applies AutoML to Automatic Speech Recognition

Like AppTek, San Francisco-based Deepgram, also joined CallMiner's Open Voice Transcription Standard (OVTS) as a founding member, but that is just one of the many partnerships it signed in the past year to advance its speech recognition capabilities.

2021 Speech Industry Award Winner: Microsoft Buys Big with Nuance

Nuance had long been considered an acquisition target, and Microsoft finally pulled off a deal in April worth $19.7 billion. Microsoft reportedly plans to use Nuance's technology to augment its cloud products for healthcare, which were launched last year.

Industry Voices

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.

What Brings Virtual Conversations to Life?

Speech recognition must be dynamic and adapt to real-time dialogue shifts to best serve customers.

Voice Is Enterprises' Next Interface

Voice remains the sturdiest bridge between employees, customers and enterprises, and that's why it will continue gaining momentum and prove to be the next critical interface.

Columns

NLP and Data Statements: Let’s Speak the Right Language(s)

‘Natural' language processing must not mean ‘English' language processing

Building the Next Generation of ASR: Speech Emotion Recognition Apps

Getting rich real-world data is critical, but it's only half the battle.

The Future of Intelligent Voice Assistants

Will you have one voice assistant or many? Which model will dominate?

Emotion Is the Next Frontier in Human-Computer Interaction

Ever since the early days of the speech technology industry, engineers and developers have been on a never-ending quest to make voices that sound more lifelike and natural.

Speech Technology Reports and Research

Optimize your Virtual Assistant with Automated Conversational Analytics

Sponsored by Spitch

How Deep Learning Speech Recognition Fuels Business Transformation

Sponsored by Deepgram

ASR Engines and Cloud Hosted Platforms

Sponsored by Mod9 Technologies

Chatbots - Search vs. Conversation. Do you know the difference?

Sponsored by Verint

Natural Language/Machine Learning/Cognitive Learning Companies and Suppliers