11,572 免版税 音轨，用于"人"

Aum mantra in 528hz.

The sound of a pre-recorded elevator voice saying "going down".

A voice clip cut from my video:https://youtu. Be/ym1brc2ocyq. Unfortunately i lost the original recording, so this is from a lossy aac encoding.

Walked by a garage while they spoke to a customer.

Me breathing.

One of the boys groaning for thedoctorsaudioadventures. Wordpress. Com we suffer for our art :p a loud but natural sounding exclamation.

Sonido vocal hombre golpeando.

Some sounds of jumps. Recorded on a phone.

Recorded with huawei y5 lite. 15-feb-2020.

This is a sound of a male asking "ok, now what?".

When i first tested out my zoom h5 i began talking into the mic and then all of a sudden i needed a sneeze. I was about to stop the recording but then thought it would be good to record the sneeze to see how it handled my loudness. Well it coped very well and the recording came out perfect!so, here it is. I also played around with it in audacity and slowed it down which makes me sound like a roaring lion. Have a listen to that one too, it's uploaded here!it's called 'sneeze_male_slowed_-86%'. Enjoy!.

Voice recorded with r-05fx from audacity.

A sort of "close call" laugh that i recorded when playing fnaf, most likely hearing a loud breath at one of the doors.

Recorded with a zoom h4n. Some people walking by.

I said this after having an epiphany.

A snippet of myself laughing during a recording session. Recorded with an audiotechnica 4050 through an allen & heath gs-r24 in a sound-proof room at the sound studio of belgrade's faculty of dramatic arts. No processing has been applied in the form of eq or compression.

Man licking the microphone.

Recorded with behringer b-1 mic into presonus studio 24c interface using audacity. Processing:- audacity's filter curve- audacity's compressor- audacity's noise reduction- airwindows debess.

A man, male, urinating humming rather long, ment as humor, based on movie naked gun 2,5.

A recording of my own hiccups after a meal. First one might be loud!.

Audio de 6 personas diciendo las vocales. Ordenado de menor edad a mayor edad (mujeres primero). Edades entre los 5 a 10 años, 20 a 25 años y 40 a 50 años. Frecuencia de muestreo: 8 khzbits de cuantificación: 8 bits. Universidad de el salvadorca17036op17001. [6 people saying the vowels. Ages between 5 to 10, 20 to 25, and 40 to 50. Sampling rate: 8 khz. Bitdepth: 8 bits. Recorded on 06/2020, with phone microphone. Pre edited in audacity. ].

I exhale.

Appropriate for phone or pc.

Hi here is a quick improvised vocal i made yesterday. Would love to hear if anyone can make a track with it. You can share with me on https://www. Facebook. Com/jennaevans01 or insta https://www. Instagram. Com/jennaevansmusic/.

Voice processed sample remix.

Vocal synth made in fl studio.

Frequency scaled output sound obtained by analysis and synthesis of sound speech-female_hpsmodel. Wav (https://www. Freesound. Org/people/anjds/sounds/377067/) with transformations model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters considered are:- i) frequency scaling factors = [0,1. 5,1,0. 6], ii) frequency stretching factors = [0,1,1,1],iii) timbre preservation = 1, iv) time scaling factors = [0, 0 ,1 ,1].

Man burping belching.

Man burping.

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.

No,no,no. Man clamour.

The sound of a door closing. Made with audacity and audition.

Sonido de de una persona saltando. El esfuerzo y la caída.

Voice processed sample.

Voice processed sample.

Voice processed sample remix.

Voice processed sample remix.

Voice processed sound.

Voice processed sample.

Voice processed samples remix.

Before doing the announcement for my project i accidentally burped but i decided to keep it for some odd reason 0_o.

12 different loughs by man.

I burped. Recorded on a blue yeti.

Glad you learned something.

I'm autof**k! old 2005 cheap pc mic w/reverb, distorted, tempo=150bpm.

Gasping for air after running, could be pitch shifted to fit a variety of characters.

Gasping for air after running, could be pitch shifted to fit a variety of characters.

Recorded in lima peru with a zoom h5 45khz 24 bits.

Complaining personreaperrecord at 44100 hz16 bits.

Complaining personreaperrecord at 44100 hz16 bits.