AI Create Index 330 (meaning that most of the copy is original based on product evaluation and testing.  AI was used to research some of the content, and the copy was refined and improved using AI. AI was Read more

AI Create Index 550 (meaning that although the copy is original,  AI was used in the research for the content, and the copy was refined and improved using AI. AI was alsoused in generation of some graphics) THIS Read more

#AI #eLearning #AIinLearning #TextToSpeech #AIvoicegeneration  #InstructionalDesign  #OnlineLearning  #LearningTechnologies #ElevenLabs

AI Create Index 550 (meaning that although the copy is original,  AI was used in the research for the content, and the copy was refined and Read more

AI-generated speech is revolutionizing eLearning, providing scalable, cost-effective narration that can be updated instantly. While traditional voiceovers require extensive recording sessions and expensive post-production, AI-powered voices offer flexibility and efficiency without compromising quality. However, with a growing number of AI speech tools on the market, choosing the right one for your eLearning projects can be a challenge. From neural text-to-speech engines to real-time AI voice synthesis, each platform comes with unique strengths. Some prioritize natural expressiveness, while others focus on multilingual support or seamless integration with eLearning platforms. The latest advancements, such as OpenAI’s new real-time voice API, promise to take AI speech to an entirely new level, allowing for more dynamic, conversational interactions in training and education. In this article, we’ll explore the most widely used AI speech tools, discuss their applications in eLearning, and help you determine which one is best suited to your needs. Read more

AI-generated speech has evolved dramatically in recent years, making it an increasingly viable option for eLearning narration. But for many eLearning designers and developers, understanding how Neural Text-to-Speech (NTTS) works—and the key terminology surrounding it—can feel overwhelming. What’s the difference between traditional text-to-speech (TTS) and neural AI voices? What is speech prosody, and why does it matter? And how do custom AI voices work? If you’re looking to incorporate AI speech into your eLearning projects, this article breaks down the essential concepts and key terms so you can make informed decisions. In this article, we’ll take a look at how speech synthesis has evolved, from early robotic voices to the lifelike AI-generated speech transforming eLearning today. Read more

For decades, eLearning developers and designers have relied on voice narration to create engaging and accessible courses. But high-quality voiceovers come with challenges—hiring professional narrators is expensive, and updating recorded content can be time-consuming. Text-to-Speech (TTS) technology has long been an alternative, but early versions were far from perfect, and a long way from natural sounding speech. However, if you’ve previously dismissed AI-generated voices as not a viable option for this reason, it may be time to take another look. The latest advancements in neural TTS can result in AI voices so lifelike that they are nearly indistinguishable from human narration. Understanding this evolution is crucial for eLearning developers and designers looking to stay ahead of the curve and leverage AI speech effectively in their projects. In this article, we’ll take a look at how speech synthesis has evolved, from early robotic voices to the lifelike AI-generated speech transforming eLearning today. Read more