36 Royalty-Free Audio Tracks for "Man Singing"

Young man singing vowels with hall reverb.

Man laughinh hifg.

Man sing lalala hey , funny song.

Male voice singing rithm after 35cl of vodka.

Japanese man sining in the summer park.

Audiophile m-audiosamson condensatorcubase 5behringer.

Audiophile m-audiosamson condensatorcubase 5behringer.

Audiophile m-audiosamson condensatorcubase 5behringer.

Here is a ukulele recording and singing in polish. 96khz24bit/s.

A german man sings on the streets of barcelona.

A man singing with the sounds of the on coming train/ subway car, and mumbling along with the naturally amplified sound of the over head fluorescent lamps. .

Me singing mr. Turtle man three times and i changed all three pitches and layered it.

Street ambiance in providence, ri. A man singing. The singing becomes 'have yourself a merry little christmas' there is a sax, but he doesn't play along with the song.

24bit wav field mono recording of a drunk man singing, with traffic noise in the bg. Place: berlin germanytime: december 2006, 22 h. Mic: schoeps ccm 5lg cardioidrec: sound devices 722.

Recorded in the boqueria market in barcelona, this recordings starts with a man singing and after that we hear other people talking and ambient noise.

A man singing with the sounds of the on coming train/ subway car, and mumbling along with the naturally amplified sound of the over head fluorescent lamps. -. Wav.

Rock band artist vocal recorded in studio.

A summer day on my balcony with my neighbor singing some tunes in the background. Recorded in munich 2013 using roland r-05.

A man in a pub singing all of 99 bottles of beer on the wall - a few bottles are missed along the way. He switches from energetic to drunk to angry to sad.

Here is a recording made in switzerland of someone yodeling. 96khz24bit/s.

Recorded tascam dr-05xsfx conversion edited: adobe + fxs + mastered.

Ambience recording in a poor family kitchen in san francisco libre, nicaragua. You will hear: a spoon stearing the stew, water, chicken, cock, hi-fi sounds, dishes, man singing, cricket, and a cars passing far away.

My voice recorded by iphone 4 mic(directly, near). Without post processing. Singing (shout-like) "hey" word slowly. Highest pitch is f4. October 2017.

Out of my voice, i have created this dark choir by stretching my voice so that it sounds like more people are singing. I hope you like this.

Adoration of the virgin mary, rome, italy, sept 26 2015. Italian men chanting and singing in adoration of mary. Recorded in rome in open air using a blue snowball microphone.

A man yelling a self made song in icelandic. Recorded with a samsung 7 phone.

A man is singing lead, other people answering. Roosters in the morning, other voices. Brazil, tapirape nation, 2009. Recorded with schoeps ab ortfrecorded on sounddevice 744twave stereo, 48 khz, 24 bits.

I recorded this sound from my mobile phone at 16 bits, sampling rate 44. 1khz, mono. Meant for analysis and transformation in aspma course on coursera.

Heavy metal vocal: mr rotpblove is sun. Sfx conversion edited: adobe + fxs + mastered. Sound and loops freesound. Org/people/szegvari/. Musichttps://soundcloud. Com/user-174290723.

While i was brought to some flooded islands in one of bangladeshis many rivers one of the boatsman started singing. About pani, water. . . Recorded in 2007 after the cyclone en the subsequent floodingsrecorded with mic sennheizer md21u and marantz pmd670.

I have a knack for the reprehensible as some may have gathered. It comes naturally. So every once in a while my partner sings about it. Karen carpenter sang, "don't worry that it's not good enough for anyone else to hear. . . " so why did i post it? because 1. It's only fair that more should suffer than just me, and 2. I'm curious to see if anyone will download it. We're working on "blue moon" of the doo-wop variety. Part of it.

Recorded with only a small digital video camera at a cafe in pushkar, india. As i sat by the lake one afternoon, two indians sat down on the ground in front of me and began playing this and singing. There is background cafe noises and the odd motorbike going by and beeps, people talking and its not great quality but, someome may like it. . . It is as natural as you can get, raw sounds of india!(unfortunately, i have no idea what they are saying, id love to know if anyone could translate it?)recorded september, 2012.

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).

A recording made around noon on the edge of a woods located right in the middle of a major midwestern university. Throughout this entire recording, you'll hear the everpresent hum of heating and air conditioner units running. You will also hear faint conversations and laughter of students as they walk to class, faint sounds from a nearby construction site, distant rumble of traffic, the distant droning of an airplane lazily floating through the april sky. From time to time you will also hear the well known "beep. . . Beep. . . . . Beep. . . . " of a piece of heavy equipment backing up. However, despite all of the dominating background of man and his machines, nature comes through. Sincei was sitting on the edge of a fairly large woods which sits in the center of all of the concrete and glass and steel, the sweet singing of birds lasts throughout much of this recording. Equipment used: zoom h4n recorder using the internal stereo microphones set on 180 degrees for the greatest sound capture.

Wo ist doch (a cantata) by Dieterich Buxtehude, performed live by self. Text/lyrics Soprano Wo ist doch mein Freund geblieben? Will Er mich denn nicht mehr lieben? Er hat sich in dieser Nacht, da ich aus dem Schlaf erwachte und an seine Huld gedachte, aus dem Bette weggemacht. Ach ich habe den verloren, den ich einzig mir erkoren! Ach, ich habe nicht betrübt! Er ist der, der mir gefallen, darum soll mein Stimm erschallen: Soprano/Bass Schönste(r), wo befindst du dich? Soprano Hör ich doch des Freundes Worte! Ruft Er nicht an diesem Orte? Soprano/Bass Schönste(r), wo befindst du dich? Bass Du hast mir das Herz genommen, Vielgeliebte! Soprano Ich will kommen, eile fort, erfreue mich! Komm, mein Freund, in meinen Garten! Bass Willst du mich daselbst erwarten? Sieh, ich steh schon vor der Tür, sieh, ich komme, meine Taube, denn dein wohlgegründter Glaube zeucht und neigt mich hin zu dir. Soprano Wenn du unter deinem Schatten mir die Ruhe willst gestatten, dann so ist mir ewig wohl. Soprano/Bass Ich lieb dich, weil du mich liebest und dich mir zu eigen giebest. Nichts ist, das uns scheiden soll. Soprano Du bist, Schönster, meine Sonne. Bass Dir ist schon die süsse Wonne und die Ruh von mir bereit. Soprano/Bass Komm mein Schatz, lass mich dich küssen, denn so kannst du mir / kann ich dir versüssen, alles Leidens Bitterkeit. Soprano Endlich hab ich den gefunden, den ich lieb, meine Freude. Bass So ist verschwunden dir die schrekkensvolle Zeit, weil ich dein bin, meine Freude. Soprano/Bass Komm nach dem gehabten Leide hin, wo dir das Herz/ die Freud bereit. So lieben die Seele und Jesus zusammen. Sie lieben beständig, man scheidet sie nicht. Sie brennen und stehen in lieblichen Flammen, die Seele vergnügt sich in seligem Licht. Wir sehnen uns alle mit Herzens Verlangen, wann werden wir einsten dich, Jesu, umfangen?

While working on another audiobook, i decided to make this sound. It's 38 voices, each saying different things, panned around and mixed together, creating a "wall of sound" that speaks like 38 radio channels at once. Recorded with a zoom h2 via usb into ardour2. Mixed and exported to flac with ardour2. Ps: it's all polish (with some possible german shout-outs), but the amount of noise makes it almost completely incomprehensible. Only a few words that are being yelled in a different voice can be understood. No sound repeats here, no recycling - every voice and every second of this recording is unique. Yes, it required quite a lot of work to record so much talking in quality! it's almost an entire audiobook squeezed into 5 minutes. Strangely (or not) listening to this makes my mind rest, because the noise blocks all other sounds from the environment - making my mind free of stimulation, allowing for sleep-like rest state. The signal is so much modulated that it appears to be not modulated at all - like static you get from a fm radio of you tune it wrong. The brain receives less data when you listen to this, than when you sit in a room hearing even faint (but distinct) noises from outside, other rooms, other people or yourself. This is sound masking in action. A very interesting psychoacoustic property of human hearing. Also: this is an interesting material to study of my voice's spectral energy distribution while speaking (as opposed to singing). As you can see using the spectrogram view, most energy is present in the band below 600 hz.