musiccaps
3 rows where aspect_list contains "grunting" and aspect_list contains "instrumental"
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aspect_list (array) 65 ✖
- grunting · 3 ✖
- instrumental · 3 ✖
- roaring 3
- dangerous 2
- intense 2
- sinister 2
- vigorous drumming 2
- ambient nature sounds 1
- ambulance siren 1
- attack 1
- background music 1
- birds chirping loudly 1
- blasts 1
- booming bass drum 1
- booming sounds 1
- brass instruments 1
- chopper 1
- club music 1
- creepy 1
- dance music 1
- danger 1
- dj 1
- eerie 1
- fast tempo 1
- fireworks 1
- food 1
- frightening 1
- goth rock 1
- gunshots 1
- helicopter sound 1
- hostile 1
- hunt 1
- incoherent vocals 1
- menacing voices 1
- metal clanging 1
- no melody 1
- no vocals 1
- painful cry 1
- percussions 1
- police van siren 1
- prey 1
- rock 1
- scuffling 1
- serious 1
- sinister cello drone 1
- siren at the end 1
- squealing 1
- struggle 1
- syncopated harmony 1
- synthesiser arrangements 1
- tense melody 1
- thumping beat 1
- trance 1
- trap 1
- trippy music 1
- trumpet melody 1
- vigorous beat 1
- vocal riff 1
- wild animals 1
- wild boar 1
- wild life 1
- wildlife 1
- wolf pack 1
- wolves attacking 1
- wolves growling 1
ytid ▼ | url | caption | aspect_list | audioset_names | author_id | start_s | end_s | is_balanced_subset | is_audioset_eval | audioset_ids |
---|---|---|---|---|---|---|---|---|---|---|
6ieXDFjLKNo | This audio is an instrumental playing in the background. The music is sinister and anticipatory of something bad. There are ambient sounds of nature like roaring, grunting, scuffling, wild boar squealing,birds chirping loudly and painful cries, indicative that this is an animal being hunted. | ["instrumental", "background music", "birds chirping loudly", "brass instruments", "tense melody", "wolf pack", "trumpet melody", "wild boar", "squealing", "wolves attacking", "wolves growling", "hunt", "wildlife", "wild animals", "prey", "food", "attack", "roaring", "grunting", "scuffling", "struggle", "wild life", "painful cry", "sinister cello drone", "ambient nature sounds"] | ["Canidae, dogs, wolves", "Roar", "Music", "Pig", "Roaring cats (lions, tigers)"] | 7 | 230 | 240 | 0 | 1 | ["/m/01z5f", "/m/04cvmfc", "/m/04rlf", "/m/068zj", "/m/0cdnk"] | |
9iYxf1hS4Yk | This piece has no melody. Only percussion instruments can be heard in the background. The drumming is rapid and vigorous with a boomy bass drum and sounds of a helicopter, roaring, grunting,gunshots, blasts,fireworks, and clanging of metal and a siren at the end. The vibe is intense, sinister, hostile and dangerous. | ["instrumental", "no vocals", "no melody", "hostile", "dangerous", "danger", "intense", "blasts", "grunting", "serious", "hostile", "vigorous drumming", "percussions", "booming bass drum", "booming sounds", "roaring", "gunshots", "fireworks", "metal clanging", "sinister", "intense", "siren at the end", "helicopter sound", "chopper"] | ["Music", "Eruption"] | 7 | 460 | 470 | 0 | 1 | ["/m/04rlf", "/m/07pxg6y"] | |
ItLWKIhe58c | This song is an instrumental. The tempo is fast with vigorous drumming, thumping bass lines and keyboard arrangement with sounds of an ambulance or police van, menacing voices, grunting, incoherent vocal riff and whooshing sound of wind. This song is aggressive, vigorous, energetic trippy, trance like with the syncopated music giving it a eerie, sinister, creepy vibe. This song is a Hard Rock/Goth Rock. | ["instrumental", "fast tempo", "trance", "trap", "police van siren", "intense", "dj", "dance music", "club music", "incoherent vocals", "trippy music", "vigorous beat", "syncopated harmony", "thumping beat", "vigorous drumming", "synthesiser arrangements", "ambulance siren", "menacing voices", "roaring", "grunting", "vocal riff", "rock", "goth rock", "sinister", "eerie", "creepy", "dangerous", "frightening"] | ["Drum and bass", "Music", "Trance music", "Dubstep", "Electronic dance music"] | 7 | 30 | 40 | 0 | 1 | ["/m/0283d", "/m/04rlf", "/m/07lnk", "/m/07s72n", "/m/08cyft"] |
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CREATE TABLE [musiccaps] ( [ytid] TEXT PRIMARY KEY, [url] TEXT, [caption] TEXT, [aspect_list] TEXT, [audioset_names] TEXT, [author_id] TEXT, [start_s] TEXT, [end_s] TEXT, [is_balanced_subset] INTEGER, [is_audioset_eval] INTEGER, [audioset_ids] TEXT );