4 565 royaltyfrie lydfiler for «Stemme»

7:25 p. M. School yard. Kids while playing basket ball and other games. Many voices of dozens of children and sounds of the balls and the game. Hear the vehicles passing on the street. At the final section of the recording is heard the sound of an airplane flying across the sky. I used the zoom handy recorder h2 with internal microphones. I made some corrections in adobe audition 3. 0. Enjoy!.

Two recordings of a man groaning. I tried minimizing room tone as much as possible. Recorded on a shure beta58 from about 18 inches away.

A 30" clip of a streetcar (tram) in amsterdam (the netherlands) passing by using its bell. Later in the clip voices of people passing by can be heard.

It's a recording of a medium-sized dog's yelping. The dog also repeatedly sneezes from 1:15 on. The dog was longing for it's master, i did not do any harm to it otherwise than mercifully recording funny (in my opinion) sounds it made instead of saying words of support. I don't feel guilty. Recorded with a hand-held zoom h2 in 48khz/24-bit wav, edited, normalized and converted to flac using audacity.

Introduction to pi for freesound's sounds of science. Anyone is welcome to pick up where this recording finishes. Tag your files "pi".

Another monster.

A young woman saying "oh" sounding disappointed.

Holiday party at fox studios in los angeles. The party was catered in stage 10, where the show touch is being filmed with keifer sutherland. I recorded it from two different perspectives. Recorded with: sanken cs-1e, sound devices 702t.

An american restaurant with a modest crowd chattering. The floors and chairs are wood, so some wooden scraping sounds as they are moved. Also an ice dispenser and the clank of dishes being cleared.

I recorded this back in 2008 for this little video: http://www. Youtube. Com/watch?v=aebqkdwpuj4it's not amazing or anything, but i figured that somebody out there may have some use for it somewhere. If not, then oh well, i was only 12 when i recorded it.

A single voice note held and then added a lot of re-verb. Mild flanger produced a sound like a blow horn.

Atmo from within a suburban train in hamburg. The train takes a sharp curve with characteristic sound. Recorded on a zoom h5 with x/y-head.

Recorded with zoom h6 placed on dslr cam.

Risa macabra (evil laugh produced by a raspy voice).

Voz debajo del agua (human voice underwater).

Voz de una persona un poco alegre despues de recibir algo [recorded voice of a person giggling beacause he received something like a gift).

Short, quick audio of me saying ow in a rather high pitched voice, and with a below-average microphone.

Human voice sound-processing laugh shout.

This is me trying to sound like an anime cat girl ^-^.

Me saying "megusta". Recorded and pitched in audacity. Free to use in whatever you want! enjoy!.

My boyfriend sighing.

This is my voice that is speaking to you.

Scream of a girl recorded with an iphone 5 for the university pompeu fabra.

A low-pithced, angry shout to call someone's attention.

Street scene in bangkok, only little traffic, people in the background. Loud talking tourists. Recorded with an olympus ls-11.

While trying to narrate my yaoi fictions, sometimes i'll become overwhelmed by how. . . Um. . . Cute things get, so i decided to save my little sighs.

While trying to narrate my yaoi fictions, sometimes i'll become overwhelmed by how. . . Um. . . Cute things get, so i decided to save my little sighs.

While trying to narrate my yaoi fictions, sometimes i'll become overwhelmed by how. . . Um. . . Cute things get, so i decided to save my little sighs.

While trying to narrate my yaoi fictions, sometimes i'll become overwhelmed by how. . . Um. . . Cute things get, so i decided to save my little sighs.

While trying to narrate my yaoi fictions, sometimes i'll become overwhelmed by how. . . Um. . . Cute things get, so i decided to save my little sighs.

I don't remember where this came from, probably complaining about pepper not making me sneeze.

Another fangasm.

Voice over saying the wave.

Exasperation! like how the miz says it!.

Real giggle.

Real giggle.

A girl screaming, followed by softer screams.

Two female screams in succession.

A girl screaming.

Male voice exhaling.

I was recording outside my bedroom window while eating dinner in the living room, then i came back in here to see if i got anything interesting. I was zooming through the recording at 5x speed when i came across this bit of incidental pareidolia. I'm not sure what was going on, maybe the neighbors' stereo, but i don't remember hearing it, it's much louder in the living room so i should have. Whatever it was came out as a little distant choppy 2-notes alternating melody when played at 5x speed, which suddenly gets louder and solid as you hear the lower note followed by a third lower note. These 2 louder notes sound to me like someone singing the words all day. This would lead me to believe the original tones have some light harmonics i don't hear at normal speed. After which it goes back to the softer stuttering 2-note alternating thing from before. It doesn't sound like much at all at normal speed. So i just did a few straight pitch changes with goldwave until i got to 5x and saved this little file. See if it sounds like "all day" to you.

A real gasp taken during a let's play.

More laughing.

Vocalizations.

Girls singing and dancing, recorded with rode nt1000.

A stroll through a sunday open-air market in madrid, recorded on an olympus ws-110.

I am present nowi love myselfi am free from my angeri am free from my sadnesslove is my experiencerecorded in audacity with samson r10s mic. Voice is my own. Tell me if you need any noise removal.

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.

It's my voice and i sing do, re, mi, fa, sol for my game. You can change the file as mix, like nightcore version, child version, chorus version, funny man version, etc. In my christmas game, i need voice for my 5 little angels sing for hints( that's the reason why i only sing 5 music notes), just edit the file from each part!. And i record it only use microsoft audio recorder application( default application).

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