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DeepFilterNet vs DPDFNet

Both stand on ai speech enhancement software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

DeepFilterNet

Free plan Open source APILinuxMac+2

DeepFilterNet offers command-line and real-time noise suppression, with a 48 kHz constraint and additional plugin latency to consider. Its training workflow is tested only on Linux.

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DPDFNet

Free plan AndroidAPIiPhone+4

DPDFNet offers several interfaces and inference formats for single-channel speech enhancement, including streaming with stated buffering and delay. Users need to download model files separately from the source repository.

Visit DPDFNet

The facts

DeepFilterNetDPDFNet
Free planYesYes
Open sourceYesNot published
Runs onAPI, Linux, Mac, Self-hosted, WindowsAndroid, API, iPhone, Linux, Mac, Self-hosted, Windows
Lowest paid planFree or on requestFree or on request
Plans published21
MakerNot publishedNot published
Websitegithub.comgithub.com
On ai speech enhancement software#1 of 35#5 of 35

DeepFilterNet: what it does well

  • Free and open source under MIT or Apache 2.0.
  • Real-time suppression is available through a LADSPA plugin.
  • PipeWire filter chains can create a virtual microphone.
  • Framework supports Linux, macOS, and Windows.
  • Precompiled binaries and a Python wheel are available.

What to know first

  • Command-line processing currently supports only 48 kHz audio.
  • Training is tested only under Linux.
  • LADSPA processing adds at least 20 ms latency plus host delay.
  • Post-filter may over-attenuate very noisy sections.

DPDFNet: what it does well

  • Supports 8, 16 and 48 kHz audio.
  • Includes PyTorch, ONNX and TFLite options.
  • Provides command-line, Python and streaming APIs.
  • Apache License 2.0 code and models.
  • Hosted Gradio demo is available.

What to know first

  • Model files are not bundled in the repository.
  • Streaming output has about 20 ms initial buffering.
  • Later streaming blocks add about 10 ms delay.

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