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It is possible to remove a voice from a double voice audio so I can hear just the one voice?

Last Updated: 27.06.2025 08:16

It is possible to remove a voice from a double voice audio so I can hear just the one voice?

Yes, it is possible to isolate one voice from a double voice audio track, although the success of this process can depend on various factors such as the audio quality, mixing, and the frequency range of the voices. Here are some methods you can try:

Manual Editing: You can also manually edit the audio by cutting out sections where the unwanted voice is prominent.

Tips for Best Results

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Spleeter: An open-source tool developed by Deezer that can separate audio into different stems, including vocals and accompaniment.

While complete isolation may not always be possible, these methods can significantly improve the clarity of one voice over another.

Use software like Audacity, Adobe Audition, or GarageBand. Here’s a general approach:

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Vocal Isolation Tools: Some software has built-in features or plugins specifically for vocal isolation. Look for options like “Vocal Remover” or “Center Channel Extractor.”

3. Phase Cancellation

iZotope RX: This software includes advanced features for separating vocals and instruments.

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Online Services: Websites like PhonicMind or LALAL.AI allow you to upload audio and separate tracks using AI.

Experiment: Try different methods and combinations of tools to achieve the best outcome.

Use Equalization: If the voices occupy different frequency ranges, you can use an equalizer to reduce the volume of the unwanted voice.

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If the two voices are mixed equally in a stereo track, you can sometimes invert the phase of one channel and mix it with the other. This can cancel out one voice but requires precise alignment.

2. AI-Based Tools

Import the Audio: Load the audio file into the software.

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1. Audio Editing Software

There are AI-based tools and services that can help separate voices:

Quality of the Original Recording: The clearer and less compressed the original recording, the better the results will be.

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Background Noise: Background noise can complicate the isolation process, so clean recordings work best.