Geeky Gadgets Skip to main content Skip to secondary menu Skip to primary sidebar Skip to footer Artificial intelligence is no longer limited to chatbots, image generators, and coding assistants. Audio is becoming an increasingly useful part of AI for people creating videos, podcasts, tutorials, and digital content.
Flexibility—trying different styles or producing multiple supporting tracks—is often more valuable than raw speed.
Good production still matters: pacing, pronunciation, music, effects and listening checks remain necessary.
Geeky Gadgets Skip to main content Skip to secondary menu Skip to primary sidebar Skip to footer Artificial intelligence is no longer limited to chatbots, image generators, and coding assistants. Audio is becoming an increasingly useful part of AI for people creating videos, podcasts, tutorials, and digital content. Text-to-speech technology can turn written scripts into spoken audio, giving creators another way to produce narration without recording every line themselves.
If you want to try different styles, record supporting narration for a number of different pieces of content, or build audio as part of a project rather than recording it at the last minute, it can be an advantage. A weekly technology channel could use text-to-speech for supporting narration about technology news, leaving its own voice to be used for reviews and commentary. Tools such as ElevenLabs are part of this growing category of AI audio software, giving creators another option when they need to turn written material into speech.
It is increasingly becoming a practical software option. Creation AI voice tools fit naturally between writing and editing. Speed is a big drawcard, but flexibility can be even more important.
Microdrama has grown from a $500 million market in China in 2021 to a global category worth $1.4 billion in 2024, forecast to reach $10 billion by 2030, and localizing that content across languages while keeping a character’s voice recognizable is now a core production problem, not an afterthought. The 2026 standard fo
Livestreaming and esports have turned voice into one of the most valuable (and least organized) data sources in gaming. Every VOD, clip, and broadcast is packed with commentary, callouts, and reactions that rarely get indexed, searched, or made accessible. That gap is exactly why Speech to Text AI has quietly become
Voice agent teams keep hitting the same wall. The catalog holds 400 voices and the brief asks for the one that is not in it: a Quebecoise receptionist for a Montreal dealership, a narrator in his sixties with lecture hall authority. Briefs outnumber any catalog, and cloning closes the gap one speaker at a time, […] The
A conversational agent that listens not only to what users say but to how they say it has shown in a controlled experiment that it can make guided work in mixed reality feel noticeably more usable and supportive, even though it slows the task down. The finding comes from researchers at the University of Salerno, […]
Voice agents are increasingly being designed to address specific challenges across industries, with a focus on enhancing user experiences through trust, personalization and technical precision. At the recent Build Smarter Voice Agents event in New York, AssemblyAI highlighted how these systems are reshaping fields like
Voice input on phones has been solved for years. What has not been solved is the output. Speak into most dictation tools and you get back exactly what you said, fillers and false starts included, in a note you then have to clean up and move somewhere else. SpeakON attacks that gap with hardware: a […] The post SpeakON
Loading more related stories...
Open the app view to save this story, compare related coverage, and continue from the same source.