1,929 Royalty-Free Audio Tracks for "Human"

This is a sound of a preson breathing and its characteristic in the gesture analysis works from the taln group (upf). In taln different aspects of natural language processing are being done. Learn more at: https://www. Upf. Edu/web/taln.

I needed the sound of snakes hissing angry on the head of a "medusa" in a helloween-radioplay - so here they are :) recorded with beringer b10, esi maya and adobe audition, done some processing (eq, light chorus) - the sound is loopable!.

Bird vocalization includes both bird calls and bird songs. In non-technical use, bird songs are the bird sounds that are melodious to the human ear. In ornithology and birding, songs (relatively complex vocalizations) are distinguished by function from calls (relatively simple vocalizations).

An mp3 recording of silence in an open concert hall - includes some static and faint human noises. This recording was taken during a performance at the colorado symphony on january 28th (2017). Recorded with a black sony ic voice recorder.

A woman whispers, confessing her inner most secret to someone else. (please note: this does not reflect my thoughts!).

A one-year-old american baby girl coos and gurgles while playing with a toy. Recorded in 2011 with an electrovoice cl-42 shotgun mic into a zoom h4n portable recorder.

Layers of droning male vocal slowed down and looped with various pops, scratches, and thumps run through an assortment of guitar pedals including reverb, harmony, echo, delay, etc. . .

It's me sneezing while recording something else. Pretty powerful. It's a bit distorted, but i think still might be useful. Recorded using zoom h2 via usb into ardour 2 daw. Converted to flac using ardour 2.

Three weird hiccups of a 26 years old female. Noisy background (people laughing)recorded in the street with a tiny digital recorder in. Wma format and then edited with audacity to select just the hiccups. Exported then in. Wav 44. 100 khz 16 bits.

Un enregistrement effectué un matin sur matam au sénégal. Les sons sont captés d'une cour intérieur et enregistrent l'ambiance du momentrecorded in a courtyard a morning at matam (sénégal). Enregistré/recorded avec/with a zoom h6 ms mic.

Walking in a vietnamese village, two old motorbikes with small engine passing by with gentle sound, some roosters crowing in the background, also tropical insects, human voices speaking vietnamese, footsteps can be heard and some extra noise.

Recording of my wife swimming in the jezioro dobczyckie - lake on the south of poland during the august of 2016. Some distant human voices, dog barking present in a few places. Mic: rode ntg 3 in rode blimpcrecorder: roland r26.

A high quality robotic voice 'now you are dead'. Policy of use: please give me credits and rate if you use this sound. Recorded with rode broadcaster edited in adobe audition cc.

The shure sm58 dynamic microphone and neumann tlm 103 microphone were used to represent the sound and even human-made goat talkrecorded for the discipline of capture and audio edition of the course radio, tv and internet, universidade anhembi morumbi. Sao paulo-sp. Brazil.

Monster roar. Created from a clip of me inhaling air. -----. This sound, like everything i upload here,is completely free for anyone to use. I hope it is useful. 🎶.

Heartbeat rhythm experimental film music with changes. Rendered in reaper @48khz 32-bit with markers for all you morphagene fans out there. Enjoy the cardio!.

A low-ish quality videogame player eating+burping sound effect made entirely by me. Use it for whatever you would like, go ahead and share the projects you made with it if you wish.

Platform ambience at copenhagen central station. Announcement of the 11. 02 train to nivå in both danish and english. Human voices in the background and a rolling suitcase. Recorded with zoom h6 in stereo.

A scared male cartoon character saying "oh my gosh, did you hear that?" i recorded it with my camcorder and imported into power director and changed it to a higher octave and saved it as a wav file.

Quiet (though slightly amplified in audacity) sounds of digestion after a meal. Mostly bubbling, a few groans here and there. Recorded with a google pixel xl, as its bottom-facing (mono) microphone is perfect for this. No noise reduction.

Title Laughter then bell ringing Artist ezwa Original mp3 data Length:0:11 minutes (181.68 KB) Format:MP3 Mono 44kHz 128Kbps (CBR) User tags Bell, laugh, laughing, Laughter, school Type Natural, Characteristic, Human PDSounds record number 673 Comment Short laughter. Old school bell ringing.

Set of vocal sounds taken from an interview with german illustrator and designer jens oliver robbers (http://jensrobbers. De). The whole piece can be found on www. Magoproduction. Com(48khz/24bits; mono; rode nt2 and digi001 on to nuendo. ).

A creepy cold and metallic soporific sound effect with suspenseful, slightly human tones. Same method as tunnel riser except i focused on making the sound a short suspenseful cue for music or that realization of destabilization.

This is a breathing sound that supposed to replicate what it sounds like in a heavy mask, like a gas mask, space suit, or whatever you want. Recorded with sony hdr pj260v then edited with audacity.

Excited audience likes what they see. Perfect for a game show type of piece or for that retro infomercial feel. Four different oohs and ahhs.

I got hit by a spinning firecracker that decided to run into me while recording my other firecracker sounds. In the middle of the clip it sounds like someone stepping on old wood planks. Maybe someone will have some use for this sound.

It's me typing so random text on my keyboard. Recorded with zoom h2's rear mics via usb into ardour 2 @ 48khz/16-bit. If you're really curious, this is what i wrote:. . .

Angry guts. Featuring some really quiet sound from my mechanical keyboard in the background. Was hoping that wouldn't be picked up. . . Recorded with a google pixel xl, as its bottom-facing (mono) microphone is perfect for this. No noise reduction.

Some quiet gurgling/bubbling/other words here. How do i description please help. Not sure why this one is so noisy. Recorded with a google pixel xl, as its bottom-facing (mono) microphone is perfect for this. No noise reduction.

Some quiet gurgling/bubbling/other words here. How do i description please help. Not sure why this one is so noisy. Recorded with a google pixel xl, as its bottom-facing (mono) microphone is perfect for this. No noise reduction.

The shure sm58 dynamic microphone and neumann tlm 103 condenser microphone were used to represent the sound of human-made dog barks. Recorded for the discipline of capture and audio edition of the course radio, tv and internet, universidade anhembi morumbi. Sao paulo-sp. Brazil.

The small, hunched man is stuffing the ovens; a pearl falls to the ground. Unbothered, he just kicks it to one side and continues working.

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.

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.

Clean recording of a person scratching their skin. Use this for whatever you want, for free. Feel free to credit me if you feel compelled to. Find me here:https://geoffreybremner. Wixsite. Com/gbaudio.

General ambiance of an industrial harbour, work arround a boat. Metalic shoks in a loud industrial environment, two different warning signals. No human voice, dense atmosphere. Etang de berre, france, 2018. Recorded with schoeps ab ortfrecorded on nagra ares bbwave stereo, 48khz, 24bits.

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.

Short ukulele recording with vocals by rea. You can create some loops by using fragments of this recording.

This is a sequence i created for my podcast. It is a male running through a crazy maze. Sounds used are breathing, running, chains, whistle, explosion, fall and a spat. I have a version with train noise in the background.

Some voice acting stuff emulating classic fighting game barks. Show me what you use it for!.

My young boy (4 months old) is giving it a try in front of the microphone. Good that the compressor was active. Feel free to use under the conditions of the creative common licence.

Recorded some messages from my phone into audacity and added effects such as phaser and delay. Improvised over top of the messages with distorted tr606 beats.

Recording of myself speaking words "ave maria". Main purpose of this sound is for use in the coursera course audio signal processing for music applications. Sound was recorded with android smartphone oneplus one, using application smart voice recorder in wav format, mono, 44100 hz sample rate.

A big-cat-sounding growl; on the exhale and inhale. This sound was created using my voice, a pc mic, and a pitch-shifter. Not sure what it's suitable for, but friends keep asking me for it (i use it as my empty-the-recycle-bin noise).

Recording of live kick drum that was gently hand-tapped with a plastic club. Recording was then reversed and processed through compressor, eq, flanger, gentle distortion and slight reverbation, to produce something almost but not quite entirely unlike an approximation of the beating of a human heart.

During quarentine (march 2020), the night birds are more audible (active), because of the lack of human produced sound. Recorded from my window with a sd mixpre6 and a pair of primo 172 clippy's in ab stereo configuration (3 meters apart).

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.

Did some coughing and choking and heavy breathing for a horror short. Good for dying and probably could be used for zombie sounds.