Canonical: https://instain.ru/en/ai/deepfilternet/ Language: en Hendrik Schrter and co-authors model # DeepFilterNet. Local noise reduction for speech recordings 4.28 / 5 [Directory score](https://instain.ru/en/ai/deepfilternet/#editorial-rating) [Official website ](https://github.com/Rikorose/DeepFilterNet) Models and tools for speech noise reduction. The repository contains the start of file processing and integration with the microphone via PipeWire. ![DeepFilterNet. DeepFilterNet documentation with running file processing and a link to PipeWire.](https://instain.ru/assets/images/deepfilternet-screen-75626c813abb-1200.webp) DeepFilterNet documentation with running file processing and a link to PipeWire. [Open the source ](https://github.com/Rikorose/DeepFilterNet) ## What can be corrected in the recording DeepFilterNet highlights the speech signal against the background of noise. This is a suitable recording tool, where the interlocutor is already visible, but he is distracted by ventilation or movement on the street. The repository has a command utility for processing the audio file and instructions for a virtual microphone via PipeWire. These are two different ways of working. For one-time editing of the interview, it is easier to start with a file, and evaluate the microphone processing separately in a real application. ## Fragment with a quiet line Take your own record of the conversation with a smooth air conditioner noise. Prepare a copy of WAV 48 kHz for deep-filter. Choose a few seconds where the loud response is replaced by a quiet remark. Compare the source and result at the same volume. If the background has become weaker, and the end of the silent phrase is gone, this option is better not to use in the entire interview. The area without speech is also useful for checking. Look, isn't the noise changing by leaps and bounds when a person pauses, and is there an unpleasant metallic sound at the border? ## Local dependencies and processing limit The utility and plugin are described separately. Before setting up a live microphone, check whether your system supports the selected path and whether the speech remains synchronous with the image in the recording. For irreparable clipping or missed words, noise cancellation alone will not restore the content. Keep the source and compare the processing on several fragments, and before installation, check how the sound in the headphones has changed. ## Suitable tasks - Weaken the background in voice recording - Check local microphone noise reduction Features ## Strengths - Open speech file processing utility - Documented integration with PipeWire Things to consider ## Limitations - Command tool waiting for WAV 48 kHz - Strong noise cancellation can affect quiet speech ## Selection and conditions Free access Yes Trial period Not confirmed No sign-up required Yes Russian interface Not confirmed Local installation Yes API Not confirmed “Not confirmed” means there is not enough information. The feature may still be available; check the developer’s terms. Input formats Audio Result Audio ### Terms A deep-filter utility is available for local processing. PipeWire integration and demo application have their own environment requirements. From task to first result ## Practical example Task Weaken the background in voice recording What to prepare An original speech recording with background noise; keep a separate, unchanged copy. ### Task brief or prompt Task brief: reduce noise in a speech recording while preserving natural word endings, breathing and vocal timbre. Compare the processed audio with the original at the same volume. ### Expected result A cleaned-up version of the recording; judge it by listening, not just by looking at the waveform. ### How to check the result - Listen to quiet word endings and pauses. - Listen for metallic artifacts, cut-offs and changes in vocal timbre. An editorial teaching example of a task brief, not the result of hands-on testing of the service. Check that the required mode is available, that you have rights to the source material and that the intended use of the result is permitted. Check details ## Official sources - [DeepFilterNet utility, WAV format and PipeWire integration ](https://github.com/Rikorose/DeepFilterNet) - [Study authors about noise reduction DeepFilterNet ](https://arxiv.org/abs/2305.08227) This description is based on the developer’s material. Features, prices and availability may change; check the primary source before use. About the tool Developer Hendrik Schrter and co-authors Category [Audio](https://instain.ru/en/category/audio/) Access A deep-filter utility is available for local processing. PipeWire integration and demo application have their own environment requirements. Payment The code is published under the open licenses specified in the repository. Processing on your computer consumes its resources and does not require a tariff for minutes. API No separate API specified [Developer terms ](https://github.com/Rikorose/DeepFilterNet) Directory score 4.28 / 5 Features 4.30 / 5 Workflows 4.10 / 5 Ecosystem 4.30 / 5 Documentation 4.40 / 5 Scores are an editorial guide to the directory. They are not user reviews or the results of personal testing. [See the methodology ](https://instain.ru/en/methodology/) Keep exploring ## For similar tasks [Full category ](https://instain.ru/en/category/audio/) Video ### [Descript](https://instain.ru/en/ai/descript/) Editing videos and podcasts through a text transcript 4.63 / 5 editor API availability confirmed Audio ### [iZotope RX](https://instain.ru/en/ai/izotope-rx/) Dialogue restoration and spectral editing 4.50 / 5 editor Similar tasks; compare terms, formats and limitations Video ### [NVIDIA AI for Media](https://instain.ru/en/ai/nvidia-ai-for-media/) SDK and microservices for professional media processing 4.40 / 5 Platform API availability confirmed