![]() ![]() Simon Says Transcription has good context filtering, generally leaving out common speaking crutches, such as the frequent use of "um" and "ah." You won't have to manually edit those out later. The usual issues are there, such as when the interviewer interrupts or overlaps the interviewee. I was pleasantly surprised at the accuracy of the transcription, which required very little editing, including with the accent. Male and female English speakers, plus a French Canadian male speaker whose English was heavily accented. I uploaded three 15-minute interview clips, plus a five-minute edited program. For best results, it is recommended to leave the audio raw, instead of pre-filtering it with a noise reduction plug-in. By default only audio is uploaded, unless you opt to include proxy video. The good news is that in my tests, Simon Says was lightning fast, taking only a few minutes for about 45 minutes of content. (Simon Says does offer custom on-premises implementations for enterprise users.) This will also be true of the upcoming Adobe speech-to-text feature for Premiere Pro. Accuracy is keyĪI speech-to-text requires an internet connection, because the necessary resources cannot be supported locally on your computer. When you install the Mac desktop app, you can then also install the FCP extension and the Resolve scripts. Moving from one to another is seamless, as the various Simon Says tools cover the same functions and your projects are editable from any of them. The desktop app is Mac-only, but Windows editors can still benefit from Simon Says by working through the website. Depending on your workflow and editing system, you can use Simon Says' services through their website, through the Mac desktop app (a free download from the app store), via the Final Cut Pro extension, or Resolve scripting. Simon Says already supported a range of NLEs and DAWs, but recently added support for DaVinci Resolve. I've tested and used a number of services, but have been looking at Simon Says Transcription, which has been written about before here at FCP.co. As the technology has advanced, AI-based services have greatly improved their accuracy, coming close to human transcription. Numerous services offer both AI-based speech-to-text and human-assisted transcribing services. It's also an area that has greatly benefited from improvements in artificial intelligence. Whether you need to document an interview or prepare captioning for a master, transcriptions have become a vital aspect of post-production. ![]() Adding captions to videos is a tedious process, let alone adding multiple languages! Oliver Peters takes a look at the online transcription & translation service Simon Says, ![]()
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