Audacity - Revision history

Alexa: Correct audio with volume differences between speakers using Audacity

2025-05-29T07:35:40Z

Correct audio with volume differences between speakers using Audacity

← Older revision		Revision as of 07:35, 29 May 2025
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	[[Category:Audacity]]		[[Category:Audacity]]


			=Correct Volume Differences Between Speakers=
			# Load the audio track
			# Select all of the audio (Ctrl + a)
			# Click Effects > Compressor...
			# Preview the default settings and make adjustments until the volume levels improve
			# Rerun the compression again if necessary
			# Select all audio again
			# Click Effects > Normalize...
			# Run the default settings (reduce the "Normalize peak amplitude" number if the voices are still too loud in the preview)
			# Hopefully your end result will be close - good luck out there.

			o7
			<\|
			/ \

2020-12-02T20:05:35Z

Source

← Older revision		Revision as of 20:05, 2 December 2020
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	http://www.audacityteam.org/		http://www.audacityteam.org/

			=Voice-Over=

			Use Audacity - it has a built-in recording function so you can add voice-over to any footage - such as time lapse.

			<html><iframe width="560" height="315" src="https://www.youtube.com/embed/XsP02xc1eWI" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

	=How-To=		=How-To=

2020-05-31T17:31:35Z

Frequency Analysis

← Older revision		Revision as of 17:31, 31 May 2020
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	Recording audio at 16,000 hz can get you, for example, a measurement of engine frequency or misfiring. You can simply plot a frequency of the sound, and look for signatures on certain freqencies. For example, a 3600 rpm single cylinder engine that fires every stroke (revolution rate is 3600 hertz) - you should see a big spike at 3600 hz, with other noise around that. As another example, voice ID can be performed by matching voice against known signatures. [[Image:voicespectrum.jpg\|thumb\|Sample voice spectrum that can be used for voice identification.]][[Image:timespectrum.jpg\|thumb\|Sample amplitude of speech vs time corresponding to the spectrum above.]]		Recording audio at 16,000 hz can get you, for example, a measurement of engine frequency or misfiring. You can simply plot a frequency of the sound, and look for signatures on certain freqencies. For example, a 3600 rpm single cylinder engine that fires every stroke (revolution rate is 3600 hertz) - you should see a big spike at 3600 hz, with other noise around that. As another example, voice ID can be performed by matching voice against known signatures. [[Image:voicespectrum.jpg\|thumb\|Sample voice spectrum that can be used for voice identification.]][[Image:timespectrum.jpg\|thumb\|Sample amplitude of speech vs time corresponding to the spectrum above.]]

			See how to obtain spectrum:

	=Changing Frequency=		=Changing Frequency=

2016-04-19T23:54:24Z

← Older revision		Revision as of 23:54, 19 April 2016
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	=Frequency Analysis=		=Frequency Analysis=
	Recording audio at 16,000 hz can get you, for example, a measurement of engine frequency or misfiring. You can simply plot a frequency of the sound, and look for signatures on certain freqencies. For example, a 3600 rpm single cylinder engine that fires every stroke (revolution rate is 3600 hertz) - you should see a big spike at 3600 hz, with other noise around that. As another example, voice ID can be performed by matching voice against known signatures. [[Image:voicespectrum.jpg\|thumb\|Sample voice spectrum that can be used for voice identification.]]		Recording audio at 16,000 hz can get you, for example, a measurement of engine frequency or misfiring. You can simply plot a frequency of the sound, and look for signatures on certain freqencies. For example, a 3600 rpm single cylinder engine that fires every stroke (revolution rate is 3600 hertz) - you should see a big spike at 3600 hz, with other noise around that. As another example, voice ID can be performed by matching voice against known signatures. [[Image:voicespectrum.jpg\|thumb\|Sample voice spectrum that can be used for voice identification.]][[Image:timespectrum.jpg\|thumb\|Sample amplitude of speech vs time corresponding to the spectrum above.]]

2016-04-19T23:52:13Z

← Older revision		Revision as of 23:52, 19 April 2016
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			=Source=

	http://www.audacityteam.org/		http://www.audacityteam.org/

			=How-To=
			Audacity works on selections from clip. To select - use View -> Fit in Window to see all. Selection Tool and Zoom Tool are the main tools. Mouse over these to identify these.

			=Frequency Analysis=
			Recording audio at 16,000 hz can get you, for example, a measurement of engine frequency or misfiring. You can simply plot a frequency of the sound, and look for signatures on certain freqencies. For example, a 3600 rpm single cylinder engine that fires every stroke (revolution rate is 3600 hertz) - you should see a big spike at 3600 hz, with other noise around that. As another example, voice ID can be performed by matching voice against known signatures. [[Image:voicespectrum.jpg\|thumb\|Sample voice spectrum that can be used for voice identification.]]


	=Changing Frequency=		=Changing Frequency=

2016-02-20T04:24:05Z

← Older revision		Revision as of 04:24, 20 February 2016
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	http://www.audacityteam.org/		http://www.audacityteam.org/

			=Changing Frequency=
			<html><iframe width="360" height="250" src="https://www.youtube.com/embed/s9lPhIzY1dg" frameborder="0" allowfullscreen></iframe></html>
	=Links=		=Links=
	*[[Noise Removal from Sound]]		*[[Noise Removal from Sound]]

	[[Category:Audacity]]		[[Category:Audacity]]

2016-02-20T04:04:30Z

Links

2016-02-20T04:04:09Z

2016-02-08T21:09:33Z

Created page with "http://www.audacityteam.org/"

New page

http://www.audacityteam.org/