Are you a production editor, copyeditor, or proofreader and you're looking for an artificial intelligence proofing tool to help you improve your audiobook productions?
Look no further! In this video, I'm sharing with you how to improve your audiobook productions with an AI proofing tool. Adam Fritz, the CEO of POZOTRON joins me to discuss his company's software as service for audiobook project management and proofing.
His company has a software tool designed to make audio production easier, faster, and more efficient. In this video, we'll discuss how you can improve your audiobook production with the help of an AI proofing tool. This tool will help you identify and correct any mistakes in your audio recording before it's sent off for distribution.
If you're looking to improve your audiobook production, then this tool is a great way to start. This AI proofing tool can help you identify and correct any mistakes quickly and easily, which will help you produce a better audiobook overall! Positron is a growth stage startup. We've been around since 2017. We're based in Seattle, just outside of Seattle, and our company has a software tool designed to make audio production easier, faster, and more efficient.
So regardless of your role in scripted audio production, whether that's an audiobook or otherwise our tool will make a bunch of those steps in the process easier and faster. From, we use AI and machine learning to make pre-production things like pronunciation guides and character planning easier, all the way down to post-production like QC and improving. We have a tool that, that acts just spellcheck does for Microsoft Word only. It checks your Recorded audio to make sure it's recorded. Exactly. Word perfect compared to the book text. So a bunch of things that'll make life a lot easier for O authors to have their audio books produced easier, faster, and at higher quality level. And it doesn't eliminate like human checking, but it really reduces like the. Need for somebody to sit and listen to a 20 hour audiobook all 20 hours. Exactly.
Our goal is basically the only thing a person who's doing the human proving needs to pay attention to or the more performant elements like character voices and things like that. Just like when you're typing a document in Microsoft Word, you. Have those little red underlines to tell you when you've made a typo or a spelling mistake. Our tool will do that for the missed words. Added words, and mispronunciations, while you're just paying attention to make sure the story is told in a way that fits the author's vision. Before we like get into looking at the tool, How have being on kind of both sides of this, how has it been for or the feedback been from narrators about using this tool and how it maybe helps them be more productive as well? Yeah, it helped in a number of different ways. I'll start at the pre-production tools, like the pronunciation guide. A lot of narrators do a huge amount. Most narrators do a huge amount of work in the lead up to actually recording their book. So they'll read the book with a highlighter in their hand and highlight every word they don't know how to pronounce, whether that's a complex noun or verb or all the way up to character names. So what our tool does, instead of having to go through and manually high. Those words, it'll pull, our algorithm pulls all the words our algorithm believes. Your average narrator may not know how to pronounce, and then it'll automatically and immediately search those in the Oxford Dictionary four. And we're adding Miriam Webster basically one click. And you have that correct pronunciation back. Makes it much, much simpler to do that process. And then a lot of narrators will actually before. Once they record, before they send their recorded audio back to the, to their client, they'll actually do a first proof themselves. #aiwriting #aiautomation
