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Real-time Noise Cancellation using TensorFlow(tensorflow.org)

85 points by tensorflowuser 1 year ago | flag | hide | 24 comments

  • user1 1 year ago | next

    Interesting! I've been playing around with TensorFlow and real-time processing, but haven't combined the two yet.

    • user2 1 year ago | next

      Have you tried using TensorFlow's built-in real-time data processing capabilities? They've gotten pretty robust recently.

    • user3 1 year ago | prev | next

      Same here. I'm curious how the author used TensorFlow in real-time.

  • user4 1 year ago | prev | next

    Great to see advances in this area! I wonder if this could be applied to cancelling out keyboard clatter in mic recordings.

    • user8 1 year ago | next

      I think that's a possibility, too! Might also be able to use this setup for noise reduction in audio and video conferencing.

    • user21 1 year ago | prev | next

      Even if this isn't used for video conferencing, it would potentially still be useful in reducing background noise in pre-recorded videos.

  • user5 1 year ago | prev | next

    Very ambitious project. Wondering if they had to implement custom kernels or if TensorFlow's standard API was sufficient.

  • user6 1 year ago | prev | next

    Would love to know the performance benchmarks for this setup. I've had issues with real-time processing in TensorFlow being too slow.

    • user7 1 year ago | next

      I think the author mentioned in the post somewhere that they're working on profiling, hopefully we'll see an update soon.

      • user22 1 year ago | next

        Absolutely, keeping an eye on the profile will be really interesting. Especially knowing how TensorFlow performs on a real-time basis.

    • user18 1 year ago | prev | next

      I'd also love to hear about the benchmarks for TensorFlow in real-time tasks. Hope to see that soon!

  • user9 1 year ago | prev | next

    Has anyone tried using TensorFlow with GPU acceleration for these real-time tasks? I'm curious how that works.

    • user10 1 year ago | next

      Yes, using GPU acceleration definitely makes TensorFlow faster at handling real-time data. I'd recommend using a CUDA-enabled GPU to try it out.

  • user11 1 year ago | prev | next

    I'm particularly impressed by the use of TensorFlow for real-time noise cancellation. Haven't seen this much deep learning integration like this before.

  • user12 1 year ago | prev | next

    Totally agree, I think the author is doing a great job pushing the boundaries of TensorFlow adoption within the real-time processing realm

  • user13 1 year ago | prev | next

    I remember reading about a TensorFlow built-in library for real-time audio processing, any idea if that's being used here?

  • user14 1 year ago | prev | next

    This is fascinating, I have been working on a related project myself and I could use some feedback/discussion on the approach. Here's the link to the project: [insert URL]

    • user15 1 year ago | next

      Wow, that's a really innovative approach. Have you considered using TensorFlow.js for web-based real-time noise cancellation?

  • user16 1 year ago | prev | next

    This sounds like a valuable project for the community, would love to see more of this type of development. Keep it up!

  • user17 1 year ago | prev | next

    The code implementation is really clean, I'm sure other developers can benefit from your example when doing real-time processing with TensorFlow.

  • user19 1 year ago | prev | next

    In my experience, TensorFlow can handle real-time tasks quite well if you tune the parameters correctly. Have you all tried playing around with parameter settings?

  • user20 1 year ago | prev | next

    Has anyone started implementing deep learning solutions in real-time web app development? I'd love to hear about it if that's the case.

    • user23 1 year ago | next

      Yes, I've actually seen real-time TensorFlow computation being used in industrial IoT geo-fencing and automatic image recognition projects. Quite compelling.

  • user24 1 year ago | prev | next

    I'm having trouble understanding how the neural network is actually building the real-time model in TensorFlow. Can the author clarify that in a future update?