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19 results for "Acouphene" - Most at least downloaded

Click here to listen to this sound (#1037)
- White noise
In signal processing, white noise is a random signal having equal intensity at different frequencies, giving it a constant power spectral density (en.wikipedia.org/wiki/White_noise). A sound to use only wav, aiff or flac formats, because the other formats denature the interest of the sound. UCS Category: TEST. Duration: 05:00.
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Click here to listen to this sound (#0432)
- Pink Noise
Pink noise or 1/ƒ noise (sometimes also called flicker noise) is a signal or process with a frequency spectrum such that the power spectral density (energy or power per Hz) is inversely proportional to the frequency: en.wikipedia.org/wiki/Pink_noise. UCS Category: TEST. Duration: 00:19.
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Click here to listen to this sound (#1388)
- Tinnitus
Sound of a tinnitus, as after an explosion. UCS Category: DSGNTonl. Duration: 00:28.
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Click here to listen to this sound (#2495)
- 590 Hz feedback 8
Feedback of around 590 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:04.
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Click here to listen to this sound (#1751)
- 8.6 kHz feedback 8
Feedback of around 8,600 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:01.
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Click here to listen to this sound (#1745)
- 8.6 kHz feedback 2
Feedback of around 8,600 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:05.
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Click here to listen to this sound (#1748)
- 8.6 kHz feedback 5
Feedback of around 8,600 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:04.
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Click here to listen to this sound (#2492)
- 590 Hz feedback 5
Feedback of around 590 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:01.
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Click here to listen to this sound (#1744)
- 8.6 kHz feedback 1
Feedback of around 8,600 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:01.
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Click here to listen to this sound (#1747)
- 8.6 kHz feedback 4
Feedback of around 8,600 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:02.
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Click here to listen to this sound (#2491)
- 590 Hz feedback 4
Feedback of around 590 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:01.
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Click here to listen to this sound (#2494)
- 590 Hz feedback 7
Feedback of around 590 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:02.
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Click here to listen to this sound (#2490)
- 590 Hz feedback 3
Feedback of around 590 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:01.
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Click here to listen to this sound (#2488)
- 590 Hz feedback 1
Feedback of around 590 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:01.
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Click here to listen to this sound (#1749)
- 8.6 kHz feedback 6
Feedback of around 8,600 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:01.
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Click here to listen to this sound (#2489)
- 590 Hz feedback 2
Feedback of around 590 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:01.
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Click here to listen to this sound (#1746)
- 8.6 kHz feedback 3
Feedback of around 8,600 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:01.
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Click here to listen to this sound (#1750)
- 8.6 kHz feedback 7
Feedback of around 8,600 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:03.
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Click here to listen to this sound (#2493)
- 590 Hz feedback 6
Feedback of around 590 Hz, between a microphone and a headset. UCS Category: COMMic. Duration: 00:01.
more & Downloads

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This action can be VERY long depending on your connection and the size of the files!

To refine your search:
- Choose one or two simple words,
- preferably in French, or in English
- avoid spellin mistaq and tyyping
- Try synonyms
- Do not agree verbs
- Avoid adjectives (big cat , magnificent thunderstorm, powerful explosion, high-pitched scream, etc.)
- Prefer the single name of the source object noise (motor of a scooter, bird in the garden, horn of a taxi, evening wind , hen who has pain in the right leg, etc.)
- avoid onomatopoeia and slang
- Choose the singular
- Do not don't look for what the sound is not (Baby who doesn't cry, windless forest)
- Don't write what you want to do with it ( bark for ringing, waves for falling asleep)

Cut out following the dots