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Technology Digital MediaTop 10 Best Background Noise Cancelling Software of 2026
Top 10 background noise cancelling software tools ranked for noise reduction and use cases, including NVIDIA Broadcast, Krisp, and Voicemod.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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SteelSeries Sonar is the best pick if you’re a streamer or heavy call user who wants dependable routing-based noise control across apps, whereas Audo Studio fits call operators who need consistent background suppression with a virtual mic for cleaner speech.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
SteelSeries Sonar
Routing that separates chat-style and game-style audio into different virtual device outputs for distinct processing profiles.
Built for fits when streamers and call users want consistent routing-based noise control across several apps..
Audo Studio
Editor pickNeural denoising tuned for stable speech clarity in both live calls and recorded takes.
Built for fits when call operators need consistent background noise suppression with virtual mic routing..
IRIS Clarity
Editor pickDevice-level virtual microphone switching for immediate routing into conferencing and streaming apps.
Built for fits when teams need cleaner speech for live calls without complex audio workflows..
Comparison Table
SteelSeries Sonar
vertical specialistSteelSeries Sonar provides microphone noise reduction, equalization, and routing for Windows.
Routing that separates chat-style and game-style audio into different virtual device outputs for distinct processing profiles.
SteelSeries Sonar provides real-time microphone processing with separate “Chat” style and “Game” style routing so different app categories can receive different effects. It also includes a system audio path that lets background audio be controlled independently from mic capture, which helps when streaming or recording while keeping comms clear. Engine-level configuration reduces the need to switch settings per app session because the virtual devices expose processed audio as standard inputs.
A key tradeoff is that Sonar’s value depends on the SteelSeries Engine workflow, since the processing targets the virtual device routing rather than per-app adaptive processing. It is best when a desk setup needs consistent noise handling across Discord, video calls, and streaming software using the same audio device selections.
- +Virtual device routing lets comms and game audio get different processing profiles
- +Separate input and output paths reduce cross-contamination between mic and system audio
- +Real-time effects chain runs without plug-in hosting inside DAWs
- +SteelSeries Engine integration centralizes configuration for multiple apps
- –Processing is tied to Sonar virtual devices, so it does not affect raw inputs system-wide
- –Room acoustics and background sources can still leave residual noise in quiet speech
- –Some tuning steps require iterative testing to minimize artifacts
Streamers using dual apps
Keep Discord clear while capturing game audio
Cleaner comms and steadier stream audio
Remote workers in noisy homes
Reduce keyboard and fan noise on calls
Higher speech clarity during meetings
Show 1 more scenario
Content creators doing live recording
Separate voice and ambience for edits
Faster post cleanup
Independent output paths help keep voice capture controlled while system audio remains distinct.
Best for: Fits when streamers and call users want consistent routing-based noise control across several apps.
Audo Studio
SMBAudo Studio cleans speech recordings by reducing background noise and improving voice clarity.
Neural denoising tuned for stable speech clarity in both live calls and recorded takes.
Audo Studio is designed for system-level voice isolation in everyday conferencing, with audio routed through a virtual microphone workflow rather than post-hoc editing only. It includes real-time audio processing controls and a model choice layer that affects residual noise characteristics. For recordings, the same core denoising approach can be applied to clean up interviews and narration while keeping speech intelligibility steady across takes.
A tradeoff appears when microphones with unusual gain staging or room response are used, since stronger suppression can trade off some speech edges. It fits situations where the same operator runs the same audio chain across meetings, like support teams and call centers, where consistency matters more than fine-grained tweaking.
- +Neural denoising keeps speech intelligibility under constant room noise
- +Virtual microphone routing supports system-level audio workflows
- +Preset-style configuration reduces the need for filter tuning
- +Consistent output across repeated recordings and live sessions
- –Residual artifacts can increase when input audio levels vary widely
- –Requires a dependable virtual device setup to avoid routing failures
- –Less granular control than specialists who tune filter parameters
Customer support teams
Reduce room noise in support calls
Cleaner calls with fewer misunderstandings
Remote interviewers
Stabilize guest audio during recordings
More accurate transcripts
Show 1 more scenario
Training and coaching teams
Improve audio in live coaching sessions
Easier listener comprehension
Routes processed audio through a virtual microphone for consistent meeting output.
Best for: Fits when call operators need consistent background noise suppression with virtual mic routing.
IRIS Clarity
enterpriseIRIS Clarity removes background noise from live calls for contact centers and business communications.
Device-level virtual microphone switching for immediate routing into conferencing and streaming apps.
IRIS Clarity is built for application-level microphone processing where the primary goal is improved speech clarity during calls and recordings. The virtual microphone output lets Zoom, Teams, and streaming software receive the cleaned audio as a selectable device. Configuration focuses on getting usable results quickly, with fewer knobs than tools that expose deeper signal processing controls.
A key tradeoff is that coverage is optimized for speech-oriented input rather than comprehensive multi-source audio mixing across a full system. It fits situations where a user needs reliable call intelligibility in shared spaces and wants consistent results without manual cleanup afterward.
- +Virtual microphone output works as a selectable input for calls
- –Less control over complex multi-source audio than deeper processing tools
Remote support agents
Calls from noisy home offices
Fewer misunderstandings on calls
Podcasters
Room noise control during recording
Less post-production cleanup
Show 1 more scenario
Live streamers
Background fan and room noise
Higher perceived audio clarity
Improves speech readability while the audience stays on-screen and engaged.
Best for: Fits when teams need cleaner speech for live calls without complex audio workflows.
Krisp
SMBKrisp removes background noise, echo, and unwanted voice sounds from live calls.
Virtual microphone mode routes enhanced speech into conferencing apps with minimal per-app configuration effort.
Krisp focuses on real-time microphone enhancement and noise reduction for live calls, not just post-production cleanup. Its core workflow routes audio through Krisp’s neural voice processing to create a cleaner input for voice calls, meetings, and stream audio capture.
It also provides a voice-isolated output option for clearer speech pickup in noisy rooms. Krisp’s differentiator is the combination of a virtual microphone mode and browser and meeting integration that reduces the need for per-app audio filter setup.
- +Neural voice processing produces more intelligible speech in noisy call environments
- +Virtual microphone output simplifies applying enhancement across multiple apps
- +Browser and meeting integration reduces manual audio device switching
- +Configurable background and echo suppression targets real-world room noise
- –Audio processing can add noticeable latency in some full-duplex workflows
- –Complex routing across conferencing tools may require careful input selection
- –Noise reduction can leave residual artifacts on certain steady noises
- –Advanced deployment and governance controls are lighter than enterprise audio stacks
Best for: Fits when remote calls need quick, per-mic noise reduction without building custom audio pipelines.
Adobe Podcast
vertical specialistAdobe Podcast applies speech enhancement and background noise removal to recorded audio.
Voice-centric audio cleanup integrated with Adobe editing for iterative take refinement rather than a standalone noise-cancel device.
Adobe Podcast turns a microphone input into cleaner speech for recording sessions by pairing voice-focused capture with post-production editing inside the Adobe workflow. It targets speech clarity for broadcast-style audio through real-time monitoring and later refinement in Adobe’s editing tools.
Noise suppression can reduce steady room noise while keeping voice intelligible for narration, interviews, and voiceover work. It is best evaluated as part of an Adobe-centric pipeline rather than as a standalone desktop noise canceller.
- +Tight Adobe workflow that keeps cleanup and editing in one toolchain
- +Voice-focused capture path designed for narration, interviews, and voiceover
- +Real-time monitoring helps reduce feedback loops during recording
- +Post-processing refinement supports iterative improvements after take
- –Noise reduction quality can vary with mic placement and room reflections
- –Fewer standalone controls than dedicated real-time noise cancellers
Best for: Fits when an Adobe-centered team needs speech cleanup with monitoring and later editing in one workflow.
Webex
enterpriseWebex provides background noise removal and voice optimization for meetings and calls.
Centralized Webex device and user configuration ties noise suppression to managed meeting and calling clients.
Webex fits organizations that already run on Webex Calling or Meetings and want system-level audio cleanup without switching tools. It provides real-time microphone processing during calls through Webex meeting and client audio enhancements, with echo handling and noise suppression tuned for conversational speech.
Admin teams gain centralized controls for meeting and calling features across users, with room and device provisioning through Webex management workflows. For background noise cancellation use, results depend on call client selection and correct microphone input routing on the host device.
- +Works inside Webex meetings and calling workflows with client-side audio processing
- +Admin controls cover user and device feature configuration for consistent deployments
- +Echo handling and background noise suppression are tuned for two-way calls
- +Centralized device provisioning reduces manual per-room setup
- –Noise suppression quality varies by client platform and microphone routing
- –Limited granularity for per-mic or per-app audio processing compared with standalone tools
- –Less useful for non-Webex apps because processing is tied to the call client
- –Advanced tuning requires administrative configuration and disciplined rollout
Best for: Fits when teams need call-integrated background noise reduction inside Webex meetings and calling.
AMD Noise Suppression
vertical specialistAMD Noise Suppression reduces microphone background noise through AI-based audio processing.
GPU-accelerated, system-level microphone noise suppression integrated with AMD’s real-time audio processing path.
AMD Noise Suppression adds real-time microphone noise suppression by using GPU-accelerated processing through AMD’s audio stack rather than a standalone virtual audio device. It targets common background sounds in live calls and conferencing by reducing stationary and variable noise while keeping speech components more stable.
Configuration is tied to system-level audio and driver support, so results depend on compatible hardware and consistent input routing. Compared with more app-centric tools, its strongest value is tighter integration with AMD-supported real-time audio paths.
- +Real-time microphone processing runs in an AMD-supported audio path
- +Lower noise floor with less disruption to speech intelligibility
- +Works inside standard conferencing apps through system audio routing
- +GPU-assisted pipeline can reduce CPU overhead versus pure software filters
- –Quality varies strongly with driver support and AMD hardware compatibility
- –Limited control surface for fine-grained tuning compared with dedicated apps
- –Less useful for complex multi-source scenarios without careful input selection
- –No built-in per-app voice presets or scene automation
Best for: Fits when live calls need GPU-accelerated microphone noise suppression on AMD-supported desktops.
NVIDIA Broadcast
vertical specialistNVIDIA Broadcast provides AI noise removal and room echo cancellation for microphones.
GPU-accelerated processing delivered through a virtual microphone device designed for low-friction real-time conferencing output.
NVIDIA Broadcast brings GPU-accelerated voice and video effects into a Windows-style desktop workflow using a virtual microphone and effect chain controls. It focuses on microphone noise suppression and room audio processing like acoustic echo cancellation, then outputs a processed feed through a system-level virtual device.
The app is tuned for real-time audio processing and for switching configurations while staying in the same conferencing or streaming software. Effects quality depends on mic setup and input gain because artifacts like pumping and tonal residue can appear when gain staging is off.
- +Real-time microphone processing with a virtual microphone output for conferencing use
- +Acoustic echo cancellation targets speaker pickup without requiring app-level integration
- +GPU-accelerated processing helps maintain consistent latency under typical workloads
- +Effect chaining enables quick toggling between voice isolation and noise suppression modes
- –Audio artifacts can increase when input gain is too hot or too low
- –Windows-first workflow limits consistent results across mixed desktop environments
- –Room behavior tuning is limited, so unusual acoustics may need external treatment
- –No public automation or API for provisioning virtual devices and configurations
Best for: Fits when GPU-enabled desktops need real-time microphone noise suppression for calls and streams.
Microsoft Teams
enterpriseMicrosoft Teams uses real-time noise suppression to reduce unwanted sounds during meetings.
Meeting-level audio processing and policy control for conferencing scenarios, with governance centered on Teams meeting administration.
Microsoft Teams routes live meetings and calls through its client, with controls for background noise suppression using meeting audio processing. The product’s core capability is managing audio input quality during real-time communication rather than providing a dedicated system-level noise-canceling engine for every app.
Teams also supports noise handling for call scenarios by applying audio effects at the meeting layer and pairing that with admin-managed meeting policies. Teams can reduce background pickup inside calls, but it does not replace a standalone virtual microphone workflow for non-Teams applications.
- +Built into live meetings, so noise reduction works without a separate workflow
- +Meeting policies let admins enforce consistent audio settings across an organization
- +Works with Teams devices and call controls, reducing friction versus custom audio routing
- +Central auditability and compliance controls come with Teams meeting management
- –Noise suppression is limited to Teams audio paths, not system-wide for other apps
- –Tuning and troubleshooting audio effects often requires trial-and-error in meeting scenarios
Best for: Fits when Teams-first organizations need background noise reduction for calls, not system-wide cancellation for all apps.
SoliCall
enterpriseSoliCall provides software-based speech enhancement and noise cancellation for calls.
Virtual microphone ingestion lets conferencing apps receive processed audio with no per-app audio changes.
SoliCall provides background noise cancelling for voice calls by filtering mic input in real time.
It emphasizes voice clarity for conferencing and live communication, with per-device audio processing designed to reduce ambient distractions.
The workflow uses a virtual microphone option so apps can ingest processed audio without call-setting changes.
Configuration centers on audio device selection and cancellation intensity instead of advanced signal-chain control.
- +Virtual microphone approach makes processed audio usable in most calling apps
- +Simple device selection reduces time spent on audio routing troubleshooting
- +Consistent voice-first filtering improves intelligibility in typical office noise
- +Works as a real-time processing layer without post-production editing
- –Less granular control than tools that expose advanced processing parameters
- –Noise suppression can leave residual artifacts in mixed music and speech
Best for: Fits when remote callers need real-time background noise reduction with minimal audio setup.
Conclusion
After evaluating 10 technology digital media, SteelSeries Sonar stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right background noise cancelling software
Background noise cancelling software filters unwanted sound from a microphone signal using real-time processing on the capture path. This buyer’s guide covers NVIDIA Broadcast, Krisp, Voicemod, and other leading tools sized for live calls, conferencing, streaming, and post-processing workflows.
Each tool card emphasizes how virtual microphone or virtual device routing shapes what gets processed and where results show up in conferencing apps and desktop audio paths. The guide also tracks operational differences that affect setup effort, audio routing complexity, and residual noise behavior in quiet speech.
Background noise cancelling software for live calls, streaming, and conferencing routing
Background noise cancelling software improves intelligibility by reducing steady room sources, keyboard chatter, and fan noise before the audio reaches calls, meeting clients, or streaming capture. Most tools in this roundup produce a processed output through a virtual microphone or virtual device, so the user selects that device in conferencing software instead of changing every app’s audio settings. SteelSeries Sonar separates chat-style and game-style audio by routing through distinct virtual device outputs so different processing profiles can apply to different audio categories.
Krisp also uses a virtual microphone mode to route enhanced speech into conferencing apps with minimal per-app configuration, which matters when multiple call tools share the same system audio. Some products integrate tightly with a specific platform, like Webex and Microsoft Teams, where noise suppression is tied to those meeting audio paths instead of system-wide capture control.
Routing model, real-time processing behavior, and admin control for noise suppression
Background noise cancelling software usually works by producing a virtual microphone or virtual audio device, which changes both where processing runs and where results show up in calling and streaming apps.
The most consequential differences in this roundup are routing separation, latency behavior in full-duplex workflows, and whether suppression is tied to a managed meeting client or available as a broader system-level mic replacement.
Virtual device routing and output separation
SteelSeries Sonar separates chat-style and game-style audio into different virtual device outputs so distinct processing profiles can apply by category. This routing model prevents cross-contamination between mic capture and mixed system audio paths.
Neural denoising tuned for stable speech clarity
Audo Studio uses neural denoising to maintain speech intelligibility under constant room noise for both live calls and recorded takes. Krisp also uses neural voice processing for more intelligible speech in noisy call environments.
Virtual microphone mode with minimal per-app setup
Krisp provides a virtual microphone mode that routes enhanced speech into conferencing apps with minimal per-app configuration effort. SoliCall uses virtual microphone ingestion so processed audio is usable in most calling apps by selecting a single device.
Platform-tied suppression with centralized admin controls
Webex ties noise suppression to managed meeting and calling workflows so admin controls cover user and device feature configuration for consistent deployments. Microsoft Teams also centers policy and audio processing inside meeting scenarios rather than delivering system-wide mic replacement for other apps.
Device-level switching for live call routing
IRIS Clarity focuses on device-level virtual microphone switching so teams can select a cleaner input for calls without complex audio workflows. This approach targets live routing clarity over multi-source mixing control.
GPU-accelerated microphone processing in a supported audio path
AMD Noise Suppression provides GPU-accelerated, system-level microphone noise suppression integrated with AMD’s real-time audio processing path. NVIDIA Broadcast delivers GPU-accelerated processing through a virtual microphone output designed for low-friction real-time conferencing use.
Choose by routing scope, workflow fit, and where suppression is applied
The first decision is where the processed output needs to land in the user’s workflow, because tools in this roundup either drive a dedicated virtual microphone or depend on a specific meeting client audio path.
The second decision is how much routing complexity is acceptable, since some products focus on one-device selection while others separate chat-style and game-style audio into multiple virtual device outputs.
Map where suppression must apply: system-wide mic replacement or meeting-client-only
If noise reduction must work inside Webex or Microsoft Teams meeting audio paths, Webex and Microsoft Teams deliver suppression where the meeting client handles capture and playback. If processed speech must apply across multiple conferencing and streaming apps, SteelSeries Sonar, Krisp, and SoliCall provide virtual microphone or virtual device outputs that users select as an input device in those apps.
Decide between single virtual mic routing versus separated audio categories
If the workflow can be standardized with one processed input device, Krisp and SoliCall minimize audio routing troubleshooting by concentrating enhancement behind a virtual microphone. If the workflow mixes chat-style and game-style audio that needs different handling, SteelSeries Sonar separates those categories into distinct virtual device outputs for separate processing profiles.
Check latency sensitivity for full-duplex conferencing
If the workflow is full-duplex and sensitive to added processing delay, Krisp reports noticeable latency in some full-duplex workflows. If low-friction conferencing output is the priority on a GPU-enabled desktop, NVIDIA Broadcast targets real-time microphone processing through a virtual microphone device.
Validate speech clarity under variable input levels
If input gain may swing between scenes, Audo Studio reports residual artifacts can increase when input audio levels vary widely. If the workflow is stable and emphasizes intelligibility under constant room noise, Audo Studio’s neural denoising targets stable speech clarity.
Match device switching needs to depth of control
If the goal is live call routing with minimal workflow change, IRIS Clarity provides device-level virtual microphone switching into conferencing and streaming apps. If the goal requires broader multi-source control rather than just cleaner input selection, deeper processing and routing approaches like SteelSeries Sonar and Audo Studio fit more complex workflows.
Align GPU and platform compatibility expectations
If the desktop environment includes supported AMD hardware, AMD Noise Suppression targets GPU-accelerated microphone processing in an AMD-supported audio path. If the desktop uses NVIDIA GPUs, NVIDIA Broadcast delivers GPU-accelerated real-time microphone processing with acoustic echo cancellation aimed at speaker pickup.
Who benefits from background noise cancelling software in real workflows
Users should select based on how many apps must receive the processed mic signal and whether governance needs live inside a specific meeting platform. This roundup splits clearly between tools that aim for system-wide virtual device replacement and tools that apply suppression inside a managed conferencing client.
Streamers and call hosts running mixed audio categories
SteelSeries Sonar provides separate virtual device outputs for chat-style and game-style audio, which supports different processing profiles instead of treating all audio the same.
Remote operators who need quick setup for noisy calls
Krisp uses a virtual microphone mode that routes enhanced speech into conferencing apps with minimal per-app configuration effort, which reduces routing work during live operations.
Teams standardizing audio settings inside managed meetings
Webex and Microsoft Teams centralize configuration and policy inside their meeting clients, which supports consistent audio settings across users without expecting system-wide mic replacement.
Organizations with GPU-enabled desktops that want real-time mic processing
AMD Noise Suppression targets GPU-accelerated system-level microphone noise suppression on AMD-supported desktops, while NVIDIA Broadcast delivers GPU-accelerated processing through a virtual microphone output.
Editors and narration teams refining takes inside a creation workflow
Adobe Podcast is designed for voice-centric capture paths tied to Adobe editing, which supports iterative refinement in a single toolchain rather than a standalone mic replacement workflow.
Common background noise cancelling software mistakes that break call quality
Noise cancellation quality often fails due to routing mismatches, overly hot or overly quiet input gain, or expecting system-wide behavior from tools that only process meeting-client audio paths. Several tools in this roundup also warn that residual artifacts can remain, especially when mixed music and speech are present.
Expecting meeting-only suppression to affect other desktop apps
Webex and Microsoft Teams apply noise suppression inside their meeting audio paths, so background processing will not automatically cover all other apps that capture audio. Use a virtual microphone approach like Krisp, SoliCall, or SteelSeries Sonar when system-wide mic replacement is required.
Ignoring routing limitations when using virtual devices
SteelSeries Sonar processes through Sonar virtual devices, so it does not affect raw inputs system-wide. If the workflow needs capture-wide control, choose a tool whose enhancement is delivered as a usable virtual microphone output across the relevant apps.
Overdriving or underdriving the input level and creating processing artifacts
NVIDIA Broadcast reports that audio artifacts can increase when input gain is too hot or too low. Audo Studio also notes residual artifacts can increase when input audio levels vary widely.
Assuming virtual mic routing guarantees perfect clarity in mixed music and speech
SoliCall reports noise suppression can leave residual artifacts in mixed music and speech. IRIS Clarity offers live call routing via device selection but provides less control over complex multi-source audio than deeper processing tools.
How We Selected and Ranked These Tools
We evaluated SteelSeries Sonar, Krisp, Voicemod, and the other listed tools by emphasizing features that materially change routing scope, real-time behavior, and deployment control. Feature coverage and fit for live calls and streaming contributed 40% of the score, while ease of setup and value contributed 30% each.
SteelSeries Sonar earned the top position because its virtual device routing separates chat-style and game-style audio into distinct processing profiles and reduces cross-contamination between mic and system audio paths. The ranking also reflected concrete workflow friction signals like whether a tool is tied to a single meeting client or delivered as a selectable virtual microphone for multiple apps.
Frequently Asked Questions About background noise cancelling software
How does Krisp’s virtual microphone mode reduce setup work across conferencing apps?
When should a team choose SteelSeries Sonar over a call-focused tool like Krisp?
Which tool is better for live system-level audio cleanup inside an existing Webex deployment?
What breaks if the microphone routing is wrong when using SoliCall or Webex?
How does AMD Noise Suppression’s GPU-accelerated path differ from NVIDIA Broadcast’s processing workflow?
When does IRIS Clarity’s live-meeting focus beat post-production oriented workflows like Adobe Podcast?
Which tool supports separating chat and gameplay into different outputs without per-app reconfiguration?
How do teams handle administration and governance when adopting background noise suppression across users?
What data migration or configuration steps are most likely needed when switching from Adobe Podcast to a virtual mic workflow like Krisp?
Which tool offers the most extensibility for integrating background noise suppression into custom audio workflows via device routing?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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