
Descript
Otter.ai
HappyScribe
Sonix.ai
Notta.ai
Fireflies.ai
Trint
Rev.com
Dlib
OpenCV
PyTorch
Face Recognition
Scikit Image
TensorFlow
SimpleCV
Kaldi ASR
DescriptComing from a video editing background, Descript might take some getting used to. But once you figure it out, it speeds up your editing (especially interviews/long-form voiceover). The captions are very nice to work with, but a bit limited in terms of styles. There are a lot more caption styles, transitions, and effects in CapCut, but Descript excels in simplicity and speed.
The saved layouts (you can make your own) are very good if you want to create a bunch of videos on different topics with the same design scheme or branding.
Dlib might be a bit more popular than Descript. We know about 17 links to it since March 2021 and only 12 links to Descript. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For transcripts, I use Descript. Descript is able to identify all four of our panel members, and I usually spend an hour or so cleaning it up and setting the transcript into a video for YouTube. Source: over 3 years ago
I don't understand exactly what you are trying to do, but I'm pretty sure Descript can do what you want. Source: over 3 years ago
I tried to use descript.com but found out that they didn't have a download for Linux and that their online version doesn't allow you to edit your transcript. Source: almost 4 years ago
Edit your audio with software like Descript or Audacity. Source: about 4 years ago
Looks like an 'audiogram' from descript.com - you can make them on their paid service. Source: over 4 years ago
The apparent gender estimates from photos are using dlib, and I really ought to get what I'm doing cleaned up in such a way that other people can use it easily. Source: over 3 years ago
Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow. Source: over 3 years ago
If you know C++, you don't need anything else. Go and learn APIs for C++ libraries. If you're into DSP, why not study Dlib?. Source: over 3 years ago
The data is mostly in this spreadsheet. The apparently facial gender estimates are made with Dlib. The mental health assessments are from Beck's Depression Inventory and the Snaith-Hamilton Pleasure Scale. The graph is made with gnuplot. Source: over 3 years ago
The plugin uses dlib library with a very fast HOG detector for both face recognition and detector following the relative examples. Source: almost 4 years ago
Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
OpenCV - OpenCV is the world's biggest computer vision library
HappyScribe - Happy Scribe automatically transcribes your interviews
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Sonix.ai - Automatically convert audio & video to text in minutes
Face Recognition - Face Recognition is an app that is used for testing different facial recognition methods such as Caffe and Neural Networks to name a few.