tape-it

iOS app Denoiser Research Contact Automatic studio quality audio denoising. VST / AU plugin standalone Try the Denoiser online Free Denoiser app Windows / MacOS €49 €29 Denoiser Bundle - App & VST/AU plugin Buy now €99 €49 Try the Denoiser online Free Denoiser app - Windows / macOS €49 €29 Buy now Denoiser Bundle - App & VST/AU plugin €99 €49 Buy now “ The best one I've tried. I really love this denoiser. As a recording engineer from the late 80's and early 90's I am stunned by these results. Probably the most effective one I've found. I will swear by tape it denoiser. Big fan. The results are near perfect in that it has the least artefacts and the most natural sound. This gave considerably better results than any other tool I tried. I'm amazed about how well this works with dealing with noise whilst not affecting the audio. I really find this a very efficient denoiser for the work I do. It just works. ” Hearing is believing Listen to famous unplugged recordings, denoised. Available in two versions Standalone Choose an audio file and let Denoiser remove the background noise, without introducing unwanted artefacts. You can adjust the strength if you want, but the default setting is usually right. It doesn't get any easier than this. VST3 / AU plugin Run Denoiser directly in your DAW with the VST and AU plugin. Use it whenever you need to get rid of noise - usually as the first plugin in your plugin chain, but sometimes even behind amp simulations or other noisy bad boys. Get it now! special launch offer Desktop app Standalone application for MacOS and Windows. Perfect if you want to denoise recordings without hassle. €49 €29 Buy now Standalone app Up to 192kHz support Runs locally Windows / MacOS (Universal) App + Plugin Desktop app and VST3/AU plugin bundle. For power users who work with studio software like Ableton or Logic. €99 €49 Buy now Standalone app VST3 plugin AU plugin Up to 192kHz support Runs locally Windows / MacOS (Universal) How it works Tape It Denoiser is not a normal AI denoiser. A machine learning model listens to the audio and detects the noise profile, and a multi-band expander processes the audio signal to reduce the noise. That means you get the benefits of modern AI without the weird sound artefacts that AI-edited audio tends to have. The whole audio processing path in Denoiser consists of well-understood classical signal processing elements that have proven themselves in countless studios around the world. The AI doesn't touch the audio directly but steers the signal processing components. It reliably detects the noise profile without a clean "noise-only" segment and easily adapts to changing noise over time. This combination is unique in the market. You get the sound of proven noise reduction software, with all the comfort and precision of modern AI, and none of its downsides. Read the research paper if you want to know more. Download Already have a serial number?Current version: 1.0.0 Desktop App Windows macOS App + Plugin Bundle Windows macOS × --- iOS app Denoiser Research Contact A better home forsong ideas. 4.7 App Store rating Your browser does not support the video tag. “ This developer gets it. The app for creative musicians. Love it. Genius. Only right choice for voice memo type bits. Best way to catalogue ideas EVER!!! Easily my favourite app. Text and photos attached is great!! Sleek, clean, beautifully designed. Amazing. 100% recommendation! Stereo blew my mind. Perfect for jamming. Life saver. I recommend Tape It to all my musician friends. This just took my songwriting process from a Chevy to a Lamborghini. ” Organize Chaos management for creative people. Set markers Set markers while you record to remember special moments that you want to review afterwards. Create structure Create mixtapes of your recordings for grouping and organizing. Add notes Add text and photo notes to capture lyrics, chords and gear settings. Search by instrument Search for “epiano”, “acoustic guitar”, “synth” and much, much more. Tape It detects instruments automatically. Browse the map Let's not name recordings by location. There's a map for this. Organize in batches Organize multiple recordings at once. Record Turn your phone into a professional recorder. Add layers Record harmonies, or layer on a beat. Record in stereo Combine two of your iPhone's built-in mics to record in stereo. Listen to the difference: iPhone standard 00:13 iPhone standard 00:13 tape it Stereo 00:13 tape it Stereo 00:13 Use your headphones Record from lock screen The fastest way to start a recording. Connect audio interfaces Plug your instruments straight into your phone. Collaborate Share your work privately or publicly. Share privately Invite friends to a privately shared mixtape to work together as a closed group. Export as wav/mp3 Convert your recordings to wav or mp3 on export - no extra app required. Create videos for socials Turn your recording into a video for social media, and record your own background video to your sound. Review Review lessons or songwriting sessions, and rediscover old gems. Loop and shuffle Choose between different playback modes: play one and stop, play all in a row, shuffle, or loop one. Review long sessions Scroll through long recordings like a paragraph of sound. High contrast shows music, low contrast shows speech. Listen on the go Full Media Center integration. Works everywhere your phone can connect to, including your car. Import your Voice Memos No need to start from scratch. Your browser does not support the video tag. “ It has become my everyday musical sketch book. One of the few tools that is immediately and incredibly useful to musicians! And now in stereo! Just love it! So simple but yet so powerful! Great, simple, useful app. Wonderful app for recording bands. Unbelievable audio recording app. Truly a game changer. Indispensable. ” --- iOS app Denoiser Research Contact Automatic studio quality audio denoising. VST / AU plugin standalone Try the Denoiser online Free Denoiser app Windows / MacOS €49 €29 Denoiser Bundle - App & VST/AU plugin Buy now €99 €49 Try the Denoiser online Free Denoiser app - Windows / macOS €49 €29 Buy now Denoiser Bundle - App & VST/AU plugin €99 €49 Buy now “ The best one I've tried. I really love this denoiser. As a recording engineer from the late 80's and early 90's I am stunned by these results. Probably the most effective one I've found. I will swear by tape it denoiser. Big fan. The results are near perfect in that it has the least artefacts and the most natural sound. This gave considerably better results than any other tool I tried. I'm amazed about how well this works with dealing with noise whilst not affecting the audio. I really find this a very efficient denoiser for the work I do. It just works. ” Hearing is believing Listen to famous unplugged recordings, denoised. Available in two versions Standalone Choose an audio file and let Denoiser remove the background noise, without introducing unwanted artefacts. You can adjust the strength if you want, but the default setting is usually right. It doesn't get any easier than this. VST3 / AU plugin Run Denoiser directly in your DAW with the VST and AU plugin. Use it whenever you need to get rid of noise - usually as the first plugin in your plugin chain, but sometimes even behind amp simulations or other noisy bad boys. Get it now! special launch offer Desktop app Standalone application for MacOS and Windows. Perfect if you want to denoise recordings without hassle. €49 €29 Buy now Standalone app Up to 192kHz support Runs locally Windows / MacOS (Universal) App + Plugin Desktop app and VST3/AU plugin bundle. For power users who work with studio software like Ableton or Logic. €99 €49 Buy now Standalone app VST3 plugin AU plugin Up to 192kHz support Runs locally Windows / MacOS (Universal) How it works Tape It Denoiser is not a normal AI denoiser. A machine learning model listens to the audio and detects the noise profile, and a multi-band expander processes the audio signal to reduce the noise. That means you get the benefits of modern AI without the weird sound artefacts that AI-edited audio tends to have. The whole audio processing path in Denoiser consists of well-understood classical signal processing elements that have proven themselves in countless studios around the world. The AI doesn't touch the audio directly but steers the signal processing components. It reliably detects the noise profile without a clean "noise-only" segment and easily adapts to changing noise over time. This combination is unique in the market. You get the sound of proven noise reduction software, with all the comfort and precision of modern AI, and none of its downsides. Read the research paper if you want to know more. Download Already have a serial number?Current version: 1.0.0 Desktop App Windows macOS App + Plugin Bundle Windows macOS × --- iOS app Denoiser Research Contact High-fidelity noise reduction with differentiable signal processing Christian J. Steinmetz1 Thomas Walther2 Joshua D. Reiss1 1Centre for Digital Music, Queen Mary University of London 2Tape It Music GmbH Try it! Paper Video Abstract Noise reduction techniques based on deep learning have demonstrated impressive performance in enhancing the overall quality of recorded speech. While these approaches are highly performant, their application in audio engineering can be limited due to a number of factors. These include operation only on speech without support for music, lack of real-time capability, lack of interpretable control parameters, operation at lower sample rates, and a tendency to introduce artifacts. On the other hand, signal processing-based noise reduction algorithms offer fine-grained control and operation on a broad range of content, however, they often require manual operation to achieve the best results. To address the limitations of both approaches, in this work we introduce a method that leverages a signal processing-based denoiser that when combined with a neural network controller, enables fully automatic and high-fidelity noise reduction on both speech and music signals. We evaluate our proposed method with objective metrics and a perceptual listening test. Our evaluation reveals that speech enhancement models can be extended to music, however training the model to remove only stationary noise is critical. Furthermore, our proposed approach achieves performance on par with the deep learning models, while being significantly more efficient and introducing fewer artifacts in some cases. Citation @inproceedings{steinmetz2023highfidelity, title={High-fidelity noise reduction with differentiable signal processing}, author={Steinmetz, Christian J. and Walther, Thomas and Reiss, Joshua D.}, booktitle={155th Convention of the Audio Engineering Society}, year={2023} } Audio Examples Speech enhancement systems for music While speech enhancement models have achieved impressive performance in improving the quality of full-band signals, such as Adobe Enhance Speech and DeepFilterNet, these systems cannot be used to denoise non-speech signals. When running these systems on music recordings they either corrupt the musical content, fail to remove any noise, or completely remove the music signals. The following examples demonstrate results when using speech enhancement models for non-speech sources compared to our proposed approach, which works on all audio sources. Name Noisy Adobe Enhance Speech DeepFilterNet2 (Schröter et al.) Tape It (ours) AcGtr + Vocal 1 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 Classical Guitar 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 AcGtr 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 AcGtr + Vocal 2 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 Jazz Piano 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 Listening test stimuli The following examples are denoised recordings used in the perceptual listening test. The results from the listening test are shown below in the boxplot. We compare our proposed method (Tape It) against variants of HDemucs that are trained on the same dataset, as well as iZotope RX Spectral Denoise. We manually adjust the iZotope denoiser selecting a noise-only section when it is available, otherwise we use the automatic mode. We also compare to our model without stage 2 training. ID Noisy Tape It (ours) Tape It (Stage 1) (ours) HDemucs HDemucs (DNS) iZotope A 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 B 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 C 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 E 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 F 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 G 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 H 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 I 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 J 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 K 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 L 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 Test set The following are selected examples from the held-out test dataset. Here we compare our approach (Tape It) against other models trained on our dataset, including HDemucs and DCUNet. We also compare here against RNNoise, which was pretrained for speech enhancement. Source Noise Noisy Tape It (ours) HDemucs HDemucs (DNS) DCUNet RNNoise GuitarSet Freesound 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 DSD100 Tape It (Internal) 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 VCTK Tape It (Internal) 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00 0:00