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neillu23 avatar

neillu23/CDiffuSE

0
View on GitHub↗
248 stars·35 forks·Python·Apache-2.0·12 views

CDiffuSE

Apache License 2.0

Features

  • Speech Enhancement Models - Conditional diffusion probabilistic model for speech enhancement.

Star history

Star history chart for neillu23/cdiffuseStar history chart for neillu23/cdiffuse

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with CDiffuSE

These projects share indexed features with CDiffuSE. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • modelscope/clearervoice-studiomodelscope avatar

    modelscope/ClearerVoice-Studio

    3,919View on GitHub↗

    ClearerVoice-Studio is a speech processing studio and framework designed for speech enhancement, audio super-resolution, and targeted voice extraction. It provides a suite of tools to remove background noise, increase the sampling rate of low-resolution recordings, and quantify audio clarity through objective quality evaluation metrics. The project features a target speaker extraction tool that isolates specific voices from mixed audio using acoustic, visual, or neural reference signals. It also includes capabilities for overlapping speech separation by capturing temporal patterns and long-ra

    Pythonaudiobandwidth-extensiondeep-learning
    View on GitHub↗3,919
  • espnet/espnetespnet avatar

    espnet/espnet

    9,861View on GitHub↗

    ESPnet is a comprehensive speech processing toolkit and PyTorch-based trainer designed for building end-to-end speech recognition, synthesis, and translation models. It provides a structured framework for developing automatic speech recognition systems using transducer and encoder-decoder architectures, alongside engines for text-to-speech synthesis and speech translation pipelines. The project distinguishes itself through a recipe-based workflow execution system that ensures experimental reproducibility by running standardized sequences of scripts for data preparation and model training. It

    Python
    View on GitHub↗9,861
  • ashutosh620/ddaecashutosh620 avatar

    ashutosh620/DDAEC

    42View on GitHub↗
    Python
    View on GitHub↗42
  • breizhn/dtlnB

    breizhn/DTLN

    0View on GitHub↗

    Tensorflow 2.x implementation of the stacked dual-signal transformation LSTM network (DTLN) for real-time noise suppression. This repository provides the code for training, infering and serving the DTLN model in python. It also provides pretrained models in SavedModel, TF-lite and ONNX format,…

    View on GitHub↗0
Compare all 30 related projects→

Frequently asked questions

What does neillu23/cdiffuse do?

Apache License 2.0

What are the main features of neillu23/cdiffuse?

The main features of neillu23/cdiffuse are: Speech Enhancement Models.

Which projects share features with neillu23/cdiffuse?

Projects with overlapping indexed features include: modelscope/clearervoice-studio — ClearerVoice-Studio is a speech processing studio and framework designed for speech enhancement, audio… espnet/espnet — ESPnet is a comprehensive speech processing toolkit and PyTorch-based trainer designed for building end-to-end speech… ashutosh620/ddaec. cedarctic/rnnoise-ex — An extension to RNNoise. chanil1218/dcunet.pytorch — Phase-Aware Speech Enhancement with Deep Complex U-Net. breizhn/dtln — Tensorflow 2.x implementation of the stacked dual-signal transformation LSTM network (DTLN) for real-time noise…