723 Royalty-Free Audio Tracks for "Frequency"

Metro arrival recorded at tetuan station in barcelona, with a special low frequency. Recorded with an edirol, at 16 bits.

Recording from the 590 kilohertz mark on the am radio bandwidth. Very typical mono static.

A choppy section of am radio static at the 1400 khz mark on the dial.

Grabación que representa el sonido de algun ser externo. Disonante como si fuera un rastrillar sobre un tablero.

This sound was created with layering and frequency processing. Bpm 128.

Here's a low volume, low frequency noise recorded during an acoustic survey of a condominium to identify a sleep-disturbing noise. It is primarily a combination of 13, 18 and 23 hz (5 hz steps). Not audible on computer speakers, it should be listened to on closed back headphones or very good quality sound system.

The different creation steps. - creation of a square sound of 3s, with a frequency of 261,6hz- phaser effect with the following parameters :phases - 3original/modified - 130lfo frequency - 0,5hzstartup phase - 0 degdepth - 100return - 30%- fade-in effect between 0 and 0,40s- fade-out between 2,40 and 3,00s- modification of the sound's envelope to have a resonant effect.

Just waves at the beach. Nightrecording with almost no other noise (no birds, people, cars; some low frequency wind noise); 48/24-stereorecording with zoom h1, normalized. I´ve just uploaded a new file without low frequency wind noise.

I needed just a piece of the "spark(fm_tri-90_sin-110)" for my next song. This is that little snippet. Thanks.

A low frequency sound of piano's low keys crashing. Good for losing or lost sounds.

Hm. You know, use this however you want, because i'm bored of getting credited everywhere. (nice opinion, eh?).

This sound was created with vst vox runs module and frequency processing. 120 bpm note c.

This sound was created with layering and frequency processing. Bpm 118key f maj.

Seagulls chattering at brighton beach new york city. Very dry recording with only low frequency wind noise (no surf). Rec: zoom h4n.

Same as "badass minimoog bass c7" but c4 note is played.

This is a recording of a cello bow being rosined with all of the high frequency information being taken out.

Static with pops from dead air on a radio station. Starts with a drone which fades from the background.

1000hz reference tone in -20db ideal for calibration. Created in audacity and checked in izotope insight. Precise frequency and decibel.

This is a part of the longer file "escalator hissing 1".

This sound was created with layering and frequency processing. Bpm 128.

Lowercase clicks. Minimal. Subfrequencies.

400hz reference tone in -20db, ideal for calibration. Created in audacity and checked in izotope insight. Precise frequency and decibel.

This sound was created with layering and frequency processing. Bpm 128.

Low rumble, could resemble thunder in the distance or low frequency rumble. More sounds like this on wavjunction. Com.

Good for edm music. This version has frequency modulation in it.

Good for edm music. This version has no frequency modulation in it.

Synthesis output sound obtained by analysis and synthesis of sound speech-female. Wav (http://freesound. Org/people/xserra/sounds/317745/) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 2019, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 1, maximum number of harmonics = 100, minimum fundamental frequency = 80, maximum fundamental frequency = 300, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 7.

Stochastic synthesis output sound obtained by analysis and synthesis of veena concert sound (https://www. Freesound. Org/people/anjds/sounds/377315/ ) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 1575, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 01, maximum number of harmonics = 100, minimum fundamental frequency = 100, maximum fundamental frequency = 800, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 2.

Synthesis output sound obtained by analysis and synthesis of veena concert sound (https://www. Freesound. Org/people/anjds/sounds/377315/ ) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 1575, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 01, maximum number of harmonics = 100, minimum fundamental frequency = 100, maximum fundamental frequency = 800, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 2.

Harmonic component obtained from the analysis of a female speech sound: http://www. Freesound. Org/people/xserra/sounds/254374/. This was done using the harmonic plus stochastic model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 2001- fft size: 2048- magnitude threshold: -100- minimum duration of sinusoidal tracks: 0. 05- maximum number of harmonics: 100- minimum fundamental frequency: 150- maximum fundamental frequency: 250- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 0. 05stochastic approximation factor: 1.

Stochastic component obtained from the analysis of a sound of erhu : http://freesound. Org/people/ricemutt/sounds/23933/. This was done using the harmonic plus stochastic model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 1601- fft size: 2048- magnitude threshold: -90- minimum duration of sinusoidal tracks: 0. 1- maximum number of harmonics: 20- minimum fundamental frequency: 100- maximum fundamental frequency: 2000- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 10stochastic approximation factor: 0. 2.

Residual signal obtained after subtracting the harmonics from a female speech sound: http://www. Freesound. Org/people/xserra/sounds/254374/. This was done using the harmonic plus residual model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 2001- fft size: 2048- magnitude threshold: -100- minimum duration of sinusoidal tracks: 0. 05- maximum number of harmonics: 100- minimum fundamental frequency: 150- maximum fundamental frequency: 250- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 0. 02.

Harmonic plus stochastic resynthesis of the female speech sound: http://www. Freesound. Org/people/xserra/sounds/254374/. This was done using the harmonic plus stochastic model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 2001- fft size: 2048- magnitude threshold: -100- minimum duration of sinusoidal tracks: 0. 05- maximum number of harmonics: 100- minimum fundamental frequency: 150- maximum fundamental frequency: 250- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 0. 05stochastic approximation factor: 1.

Harmonic component obtained from the analysis of a sound of erhu : http://freesound. Org/people/ricemutt/sounds/23933/. This was done using the harmonic plus stochastic model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 1601- fft size: 2048- magnitude threshold: -90- minimum duration of sinusoidal tracks: 0. 1- maximum number of harmonics: 20- minimum fundamental frequency: 100- maximum fundamental frequency: 2000- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 10stochastic approximation factor: 0. 2.

Harmonic sinusoidal output sound obtained by analysis and synthesis of veena concert sound (https://www. Freesound. Org/people/anjds/sounds/377315/ ) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 1575, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 01, maximum number of harmonics = 100, minimum fundamental frequency = 100, maximum fundamental frequency = 800, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 2.

Stochastic synthesis output sound obtained by analysis and synthesis of sound speech-female. Wav (http://freesound. Org/people/xserra/sounds/317745/) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 2019, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 1, maximum number of harmonics = 100, minimum fundamental frequency = 80, maximum fundamental frequency = 300, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 7.

Harmonic sinusoidal output sound obtained by analysis and synthesis of sound speech-female. Wav (http://freesound. Org/people/xserra/sounds/317745/) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 2019, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 1, maximum number of harmonics = 100, minimum fundamental frequency = 80, maximum fundamental frequency = 300, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 7.

A very low bass frequency, sounds horrible, beware of your speakers and your ears, don't have volume turned up a lot!!!!!!!!.

I legit took this guy sound and edited https://freesound. Org/people/klangmaler_lutz/sounds/459795/give all credit to him.

The sound of a fog machine that includes the nozzle sound and also a more low frequency sound caused by the pump.

Sounds like it was a morse code sent by a human.

Semi tuned tom tom sounds. Frequency based on pitchshifting. "a".

Random series of short high frequency sounds generated by arp odyssey. An accidental "r2 detour".

This sound was created with layering and frequency processing. Bpm 130.

Recorded with original zoom h2, with high frequency boost.

This sound was created with layering and frequency processing. Bpm: 145note: f# g.

A 1500 Hz tone broadcast by WWV, the radio station of the United States National Institute of Standards and Technology.

Moving low frequencies sound fx.

This sound was created with layering and frequency processing. Bpm 120.

This helicopter sound design was created at fl studio, in the sytrus synthesizer. The sound consists of four layers. 1. Sine wave frequency of 44 hz. Simulates the low frequency noise of propeller blades. 2. White noise passed through the svf filter. Simulates the noise of propeller blades. 3. Saw wave. Simulates the sound of an engine. 4. The sine wave. Imitates a high-frequency whistle of the engine. Various modulations are applied to all waves through the envelopes of the synthesizer. Next, the signal on the mixer channel is processed by a multi-band exciter and equalizer. Then a signal was sent to two channels with delay processing. One of them imitates reflections. In the lower-middle frequency range. On the second in the upper-middle frequency range. As you approach the sound source, the volume parameters of the direct and reflected signals are automated, low pass filter, pan width and equalization of direct sound. The helicopter performs strange maneuvers, as if making constant circles during the approach to the listener. I did not seek to create the veracity of these maneuvers.