musiccaps_details (view)
52 rows where musiccaps_aspects contains "acoustic piano"
This data as json
musiccaps_aspects (array) 156 ✖
- acoustic piano · 52 ✖
- amateur recording 13
- female voice singing 12
- uptempo 12
- e-bass 11
- acoustic drums 10
- slow tempo 9
- pop 7
- medium tempo 6
- medium to uptempo 6
- strings 6
- upright bass 6
- male voice singing 5
- ballad 4
- e-guitar 4
- sad 4
- saxophone 4
- string section 4
- acoustic guitar 3
- classical 3
- flute 3
- jazz 3
- male voices singing 3
- romantic 3
- slower tempo 3
- accordion 2
- atmospheric 2
- backing vocals 2
- ballad/pop 2
- brass section 2
- calm 2
- dreamy 2
- melancholic 2
- percussion 2
- pop-ballad 2
- relaxing 2
- reverb 2
- sensitive 2
- sensual 2
- trumpets 2
- uplifting energy 2
- violin 2
- 50s/60s music 1
- aggressive 1
- atmospheric sound 1
- background cheering and clapping 1
- background crowd 1
- background laughter 1
- background music 1
- background noises 1
- background-noises 1
- backing voices 1
- banjo 1
- bansuri flute 1
- baritone saxophone 1
- bongos 1
- cajon 1
- celli 1
- chicago blues 1
- church music/liturgical 1
- cinematic/ballad 1
- comedic 1
- country 1
- cowbell 1
- crowd cheering 1
- crowd cheering and clapping 1
- crowd cheering/clapping 1
- crowd sheering 1
- deep 1
- digital drums 1
- digital strings 1
- dramatic 1
- electric guitar 1
- electric piano 1
- electronic drums 1
- fast tempo 1
- female singer 1
- female singers 1
- female singing voice 1
- female voices singing 1
- funk/r&b/jazz 1
- funny 1
- gospel/blues 1
- guitar 1
- hammond organ 1
- harmonica 1
- high register 1
- higher key 1
- horn 1
- horn section 1
- instrumental 1
- jazz/ballad 1
- jazz/pop 1
- kazoo 1
- keyboard 1
- latin/bossanova 1
- laughter 1
- loungejazz 1
- low percussive hit 1
- low to higher register 1
- low tom backbeat 1
- lullaby/ballad 1
- lullaby/pop 1
- male choir 1
- male deep voice singing 1
- male higher singing voice 1
- male mid range voice singing 1
- male voice choir 1
- male voice talking 1
- male voices talking 1
- maracas 1
- marimba 1
- melancholy 1
- mid range 1
- mid-range voice 1
- moderate tempo 1
- musical/opera 1
- organ 1
- piano-composition 1
- piano/opera 1
- pianomusic/meditation 1
- pop-ballad/comedy 1
- pop/ballad 1
- positive energy 1
- punkrock 1
- r&b/pop 1
- r&b/soul 1
- repetitive bass riff 1
- rockballad 1
- sad atmosphere 1
- salsa 1
- saxophones 1
- shaker 1
- shuffle 1
- slower to medium tempo 1
- soft sounding 1
- soothing 1
- soul/r&b 1
- string-section 1
- synth pad 1
- synthesizer 1
- synthesizer pad 1
- synthesizer string like instrument 1
- synthesizer strings/brass 1
- tambourine 1
- theremin 1
- trombones 1
- upbeat 1
- uptempo amateur recording 1
- very fast tempo 1
- vocal sample 1
- vocal sound 1
- voice sample 1
- water soundsample 1
- white noise 1
- wind 1
musiccaps_names (array) 58 ✖
- Music 47
- Lullaby 6
- Singing 6
- Tender music 6
- Brass instrument 5
- Sad music 5
- Blues 4
- Musical instrument 4
- Classical music 3
- Music of Asia 3
- Pop music 3
- Saxophone 3
- Speech 3
- Theremin 3
- Vocal music 3
- Applause 2
- Cymbal 2
- Drum kit 2
- Gospel music 2
- Jazz 2
- New-age music 2
- Wedding music 2
- Zing 2
- /t/dd00004 1
- A capella 1
- Accordion 1
- Ambient music 1
- Banjo 1
- Bowed string instrument 1
- Cello 1
- Choir 1
- Christian music 1
- Chuckle, chortle 1
- Drum 1
- Drum and bass 1
- Field recording 1
- French horn 1
- Harmonic 1
- Heavy metal 1
- Independent music 1
- Inside, large room or hall 1
- Inside, small room 1
- Keyboard (musical) 1
- Meow 1
- Music of Latin America 1
- Opera 1
- Outside, rural or natural 1
- Percussion 1
- Piano 1
- Pizzicato 1
- Rhythm and blues 1
- Rock and roll 1
- Salsa music 1
- Ska 1
- Sonar 1
- Swing music 1
- Synthetic singing 1
- Vibraphone 1
0 records
CREATE VIEW musiccaps_details AS select musiccaps.url as video, json_object( 'label', coalesce(videos.title, 'Missing from YouTube'), 'href', musiccaps.url ) as youtube_link, musiccaps.caption as musiccaps_caption, videos.publishedAt as youtube_published, videos.channelTitle as youtube_channel, videos.description as youtube_description, musiccaps.audioset_names as musiccaps_names, musiccaps.aspect_list as musiccaps_aspects, musiccaps.author_id as musiccaps_author, videos.id as youtube_id, musiccaps.rowid as musiccaps_rowid from musiccaps left join videos on musiccaps.ytid = videos.id;