DPDFNet

7.3easy start · #6 of 34
in AI Speech Enhancement Software

Free to practise onyes
Free trialnot on record
Well documentedyes
Runs where you workyes

Runs on Android, api, iOS, Linux, Mac, self-hosted, Windows.

DPDFNet is ranked #6 of 34 in AI speech enhancement software on The Geeks Club. It runs on Android, API, iOS, Linux, macOS, Self-hosted, Windows. There is a free plan.

DPDFNet plans and pricing

All plans

Open-source DPDFNet Free Apache-2.0 licensed code and models; no commercial pricing or usage limits stated github.com · 8 Oct 2026

Compared on AI speech enhancement software

Processing mode: both
Input types: audio
Supported platforms: multiple

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The record

Purpose: DPDFNet is a causal, single-channel speech-enhancement model for cleaning noisy speech in recordings, live streams, and edge-device applications.
Architecture: It extends DeepFilterNet2 with dual-path encoder blocks and an always-on fine-tuning approach designed to reduce over-attenuation.
Sample rates: Pretrained model variants support 8, 16, and 48 kHz audio.
Inference formats: The repository includes PyTorch code and ONNX and TFLite inference models.
Interfaces: The project documents a command-line interface, Python API, and stateful streaming API.
Streaming latency: The streaming API buffers about 20 ms before its first enhanced output and adds about 10 ms of delay for subsequent blocks.
Live demo: The repository links to a hosted Gradio demo and a project page with audio examples.
Integrations: The maker's community directory lists integrations including sherpa-onnx, OBS Studio, VST3 and LADSPA plugins, Core ML ports, and a WebAssembly implementation.
Deployment: The project page reports real-time deployment of DPDFNet-4 on Ceva-NeuPro-Nano edge NPUs, using int8 weights and int16 activations in the benchmark setup.
Evaluation: The paper describes an evaluation set of long, low-SNR recordings in 12 languages across everyday noise scenarios.
License: The repository provides the software under the Apache License 2.0.
Use requirements: The repository says model files are not bundled in the source repository and provides commands to download checkpoints and ONNX or TFLite models from Hugging Face.
Support: The repository directs users to open an issue or submit a pull request to add a DPDFNet integration to its community directory.
Founded: 1999
Price from: Free

Where it ranks on The Geeks Club

Best AI Speech Enhancement Software in 2026#6 of 34

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Sources

github.com/ceva-ip/DPDFNet· checked 8 Oct 2026
ceva-ip.github.io/DPDFNet/· checked 8 Oct 2026
github.com/ceva-ip/DPDFNet/blob/main/COMMUNITY.md· checked 8 Oct 2026
github.com/ceva-ip/DPDFNet/blob/main/LICENSE· checked 8 Oct 2026