"Insan" için 5.630 telifsiz ses dosyası

A sick beat.

Re: http://www. Freesound. Org/forum/sample-requests/32157/.

Voiceover saying "green goblin": http://www. Freesound. Org/forum/sample-requests/32219/.

Activating and walking through electrically operated barriers into the new library book collection. Olympus ls3, internal pre-amp, okm binaural mics.

This is the pronunciation of the word "neken".

Me laughing strangely.

Me, doing some random, tuneless whistling.

Voice.

Derp sound.

Human whistling in a special way (with tongue against top front teeth) so that it resembles a panflute sound.

A collection of burps after drinking fizzy cider.

Recorded in sunvox with applying some equalizers, filters and a reverb.

Vocal syllables, created by recording somewhat rhythmic nonesense talk with an sm-58, followed by automated segmentation of the audio. Slices are numbered from 001-0xx (with slices that were too short taken out), l means long and s means short.

Vocal syllables, created by recording somewhat rhythmic nonesense talk with an sm-58, followed by automated segmentation of the audio. Slices are numbered from 001-0xx (with slices that were too short taken out), l means long and s means short.

Dub "wah-wah" vocals by me :).

Inhale and exhale of the human breath.

Someone says "woh".

Someone says "woo".

Someone says "yo".

Please excuse the naming convention. It is for a university project that i had to begin with my student number. This is an ambiance recording of sounds at my campus.

Voice processed sample remix.

Making weird sounds while waiting for something to load.

Squeaking in a pathetic way from being panicked.

Mumble based sound young male.

Mumble based sound young male.

Young male aaaahhhrrggg sound - attack sound?.

Something was impressive.

Fake cow sound.

I was busy recording something else, and sneezed twice. The recording came out particularly crisp, so i cleaned it up the rest of the way, and decided to post it here. Feel free to use in video games, movies, whatever. It would be cool to see what my sneezes end up in, but no credit needed. Creative commons all the way baby sneeze it on up.

The sound of a man burping. Recording device: zoomh6.

Teeth clattering. You can hear the subtle sounds of clicking when teeth meet each other in a response to the cold. Recorded with the zoom h6, rode ntg.

3 different types of burp.

The intro phrase, "ohp! wha's that i hear a little aromatic bigbeat!".

If you gotta burp, you gotta share it!.

This is a slow version of the s. G. I. Buddhist mantra nam myo ho renge kyo. It was recorded by me with my voice and a bit of echo and reverb using the audacity program. The recording device used was my computer windows xp with a very low-end microphone. I downloaded a free audacity recording program.

Saying track 12.

Remix of saptapadhi_05. Wav by jkscorpio.

Me burping recorded with ipod touch 6th gen.

Recorded on my iphone8.

This is me in my gollum voice saying a line from the lord of the rings.

Sampling from everyday objects.

V of V in C, four-part harmony. Bruce Benward and Marilyn Nadine Saker (2003). Music: In Theory and Practice, Vol. I, seventh edition: p.269. ISBN 978-0-07-294262-0.

V/V-V-I in C, in four-part harmony.

Short looping ambient voice sound.

Resynthesized voice transformed by an exotic transposition envelope.

Drag & drop of heavy metal poles in an empty car park with more than 8 seconds of natural reverb. Recorded location :théâtre-auditorium de poitiers-francerecorded with a couple of neumann km184 directly in protools via an m-box.

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.

Human breath exhalation dry.

Someone says "woh".

Someone says "woh".