The best courses for developing Alexa Skills. Learn to use Node.js and Alexa Skills Kit to publish voice apps on Amazon Echo and Amazon Alexa.
Voice technology articles to boost your knowledge and technical skills.
The best courses for voice app and chatbot development. Learn to build Amazon Alexa skills, Google Assistant Actions, Apple Siri Apps, chatbots and more.
This is a voice technology podcast that’s focused on the technology itself. The series will include interviews with people who’ve actually implemented voice technologies in a project. We will delve into all aspects of voice interfaces and their enabling technologies.
This blog post is a roundup of voice emotion analytics companies. These are companies that can process an audio file containing human speech, extract the paralinguistic features and interpret these as human emotions, then provide an analysis report or other service based on this information.
Podcasts are the obvious choice for those in the voice industry to both share their ideas, and to keep up with everything that’s going on. Here I present my pick of the 8 best podcasts that cover voice technology and conversational user interfaces.
My summary of the responses to the Voicebot.ai reader survey, 2019 Predictions From 35 Voice Industry Leaders. A list of bullet points as a handy reference.
In machine learning, you need to know what’s in your audio data. Discover how data augmentation with codec compressed audio can help your models generalize.
The impact of voice assistants on today’s youth is actually more helpful than you may think. Luckily, there are a plethora of fun, sound-based games.
‘Natural Language Question Answering’ encompasses much of what smart speakers and chatbots can do today, and is an important component of conversational marketing. We wanted to see where we were in the cycle, so we dug deeper to understand how the Gartner Hype Cycle classified these technologies.
Artificial Emotional Intelligence is a relatively new field, but one in which there is tremendous activity. Supported by a plethora of new open-source tools and machine learning frameworks, a programmer can now build a first prototype of an emotion-aware dialog machine in about two working days. But how good is the technology? And how can we develop better emotion AI?
- Podcast Tips, Tools and Voice – Carl Robinson, Rumble Studio – Voice Tech Podcast ep.07812th October 2020 - 12:37
- Voice X Design Sprint – Maaike Coppens – Voice Tech Podcast ep.07728th September 2020 - 10:11
- Speech Processing for Disease – Prof. Ami Moyal, President, Afeka Tel Aviv College of Engineering – Voice Tech Podcast ep.07615th September 2020 - 10:38
- Interactive Web – Speak2Web and Outgrow – Voice Tech Podcast ep.07531st August 2020 - 11:09