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About NewEndian

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  • Location
    Pittsburgh, PA
  • Interested in Sound for Picture
  • About
    Apps for an evolving world of film and television production

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  1. Timecard Buddy (iOS) - Giveway

    Oh, I'm sorry. I should have mentioned. As the focus of Timecard Buddy is that it includes images of timecards from the major payroll companies, only the US timecards are currently offered and I have limited the availability to US and Canada (for now).
  2. Timecard Buddy (iOS) - Giveway

    There is now the ability to support in-app purchase promo codes on Android, but licensing has always caused a lot of problems for me so I don't want to risk changing the licensing code to support them and screwing up something else
  3. Timecard Buddy (iOS) - Giveway

    Just remember to repost the list with the codes removed and count updated
  5. Neural Networks for Audio: how they work

    I saw that documentary and it was excellent!!! Well done!
  6. Neural Networks for Audio: how they work

    Certainly nVidia's advanced use of GAN (among other techniques) is bleeding edge. The basic concept has been around for a lot longer though. I'm just surprised it isn't a featured strategy. Particularly when they mention LSTM, which is odd because the periodic nature of audio makes short term memory important but long term memory less so (a simple RNN technique seems more à propos). It makes me wonder if they have a philosophical aversion to explicitly generative techniques. But I'm sure they have their reasons, which is naturally why I feel particularly inquisitive about the article. I do find it amazing how much the AI community assumes when you're talking about neural networks, you're either talking about image processing or voice recognition. But its true, thats where the money lies. Thankfully, one of the really great things about neural networks is that they're actually quite accessible. I expect we'll be seeing a real explosion of innovative uses for them in the near future. You might be surprised about the similarity between image and audio processing when neural networks are involved though. The bread and butter of AI image processing, the convolutional neural network, is basically a mass of filters. The AI community talks in terms of 'frequency content' (they mean resolution), which makes sense when you think about how important it is to think about pixels in the context of surrounding pixels. That said, most of the concepts aren't specific to image processing, even if that's how they've been implemented the most. Just look at how adversarial networks and LSTM have been used to defeat 9-Dan Go champion, Lee Sedol. Audio bias strikes again!
  7. Neural Networks for Audio: how they work

    Neural Networks are truly incredible. For as long as training can take, the hive-mind nature of software eclipses what any individual human being can learn in his lifetime. And on top of that, computers can train each other, like two individuals playing game after game of chess with the only objective of beating the other player. I'm actually rather surprised Audionamix and iZotope didn't talk about Generative Adversarial Networks (GAN). Advanced neural networks usually employ many different techniques chained together to find the optimal outcome. LSTM is an important component in learning significant features over time, but when talking about appealing to human perceptions of quality, more and more there's going to be a generative component. Such processing isn't going to be as much a matter of removing noise or moving noise to where it can't be heard. Actually it's a bit of a misnomer to describe noise as "being removed". Zero signal is still a known quantity; noise is the description of what can't be detected. So, whether it is redefining the unknown as zero or as some other more pleasant sound, generative processes will distort our recordings to make them sound better and that should be ok. After all, every technique from companders on tape machines and radios to advanced lossy digital compression algorithms has been distortion in the name of quality. What I think we'll find and should start to accept is that our perceived notion of "quality" is not at all about purity of signal. At it's most basic, GAN is a technique based on the premise of fooling an entity into believing a generated set of data (image, audio, or other) is actually an observed set of data. That entity is a separate, adversarial, network (called the 'discriminator') that is trained on observed data and taught to recognize the difference so that it can challenge the 'generator' network to fool it... and fool us at the same time. I have to say, I bought a Pixel 2 recently, and the AI used to make up for the limitations of the camera hardware is nothing short of astounding. And then there's this: https://blogs.nvidia.com/blog/2017/12/03/nvidia-research-nips/ It's a scary notion, with unknown consequences, but I find it crazy, and fun, and quite humbling.
  8. Testers Needed: Coffii

    Hey y'all. I need some help with a pet project I've been writing for a little over a year. It is not audio related, but I do need a relatively small (relative to the mass scale that I'd like to get to) number of proof of concept testers to get a feel for how the system plays out. Think of it as a "No Drama" social network. It lives as an extension in your browser (Chrome only, for now) and gives you a Like/Dislike button and a Comment field for any webpage. You also get to see other "friend" users comments for that webpage and you can Like/Dislike those as well. That's all you have to worry about. An algorithm decides who your friends are and what comments you see based on the Likes and Dislikes. If for example, someone leaves an obnoxious Comment, click Dislike for the Comment and that person will likely be removed from your friends. That's it. There are no discussions or arguments. And everyone is anonymous, so don't worry about seeing what your friends really think. It's super new, so don't worry if you don't see many comments at first. Until that point, you can think of it as a simple way to collect your thoughts. You can even find a History page by clicking the title button. I really appreciate anyone who's feeling adventurous, has a Facebook account, and is using Chrome web browser: http://coffii.me Thanks, James
  9. New App!!! Timecard Buddy by New Endian

    Hey thanks, Eric! Just wanted to put out there that I have added widgets (both iOS and Android) for quick access to today's times. Has anyone gotten a chance to use it? What do you think?
  10. LectroRM Frequency Entry

    I have made a change to LectroRM on Android that I believe is better in the long run, but I also think it will weird people out, so I haven't implemented it on iPhone yet. Instead of pull down menus and having to scroll through the options, I've replaced them with a single text field that will gradually filter out the options as you type. Usually just typing the hex code is enough to bring the options count below scrolling through the dropdown menus, especially if 25khz steps is disabled in the settings. The idea occurred to me when I was working between both wideband and narrowband devices, which made the switching a bit cumbersome and I found myself wishing I could just type in the channel I wanted. Also, I've been considering doing something similar with FreqFinder's channel selection as well. It's a bit of an experiment, but I'd like to hear how you guys feel about it after a little use. Thank you, James
  11. Hey everybody. Just want to check in with you guys after a few months of Timecard Buddy going full scale. Let me know if there's anything you guys want to see in particular for the future. And it is important to see what kind of enthusiasm there is for different features and suggestions. Best, James
  12. Un-corrupt WAV files with Audacity

    iHex lets you read raw data from a drive. If the audio is uncompressed and you can find it, you can copy it into a new file and read it with Audacity
  13. New App!!! Timecard Buddy by New Endian

    Each template has a comments section on the Finish page, yes.
  14. New App!!! Timecard Buddy by New Endian

    Backup: Not yet. I'm a little hesitant to put a bulk export into TCBuddy as there is a lot of sensitive information at stake. Both iPhone and Android have built-in mechanisms for backing up user data, which I'm relying on for the near future. Beyond Midnight: TCBuddy will go beyond midnight if you enter an hour greater than 24 Occ Code is the appropriate place for the rerate position Let me know if payroll accepts it and if you have any other questions!
  15. Daily Time Sheet Inquiry

    I'm starting to see more and more users for Timecard Buddy! Thank you everyone who is spreading the word around. I just submitted an update that expands the Daily Email. Now many more daily fields will be included depending on whether they are used or not. For instance, if you have a 2nd Meal, those times will be added to the Daily Email. I figured the dynamically generated approach was better than pdf template approach because it is both simpler and more flexible. But if you do find there's something you want to see in the Daily Email that isn't currently considered, please let me know. In other notes, I've decided that the $1.99 introductory price for Ad-Free mode will end on June 30th, at which point the price will increase to $7.99. And I've added ads to the rest of the places where I intended ads to be, namely right before the pdf and daily emails are generated. Thank you all for your support!