musiccaps
2 rows where aspect_list contains "female vocal" and aspect_list contains "hypnotic"
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aspect_list (array) 19 ✖
- female vocal · 2 ✖
- hypnotic · 2 ✖
- chant 1
- esraj 1
- haunting 1
- immersive 1
- indian folk music 1
- male vocal 1
- manjira 1
- mantra 1
- meditation music 1
- percussion 1
- percussive elements 1
- religious 1
- repeated theme 1
- strings 1
- tabla 1
- tambura 1
- trippy 1
ytid ▼ | url | caption | aspect_list | audioset_names | author_id | start_s | end_s | is_balanced_subset | is_audioset_eval | audioset_ids |
---|---|---|---|---|---|---|---|---|---|---|
OzaVvthCvtk | This is an Indian folk music piece. There is a haunting female vocal in the lead. There is a group of strings which sound similar to Esraj being heard playing the main tune. In the rhythmic background, there are bell percussion that sound like manjira and membranous percussion that sound like tabla. The atmosphere is trippy. This piece could be used in the soundtrack of an exotic movie or could be sampled to be used in beat-making. It could also be playing in the background of an Indian cuisine restaurant. | ["indian folk music", "female vocal", "haunting", "strings", "esraj", "percussion", "manjira", "tabla", "repeated theme", "trippy", "hypnotic"] | ["Music of Asia", "Music", "Middle Eastern music", "Music of Bollywood"] | 9 | 30 | 40 | 0 | 1 | ["/m/028sqc", "/m/04rlf", "/m/06j64v", "/m/0dq0md"] | |
VuWr1HXHoZg | This is a mantra/meditation music piece. There is a male and a female vocal chanting in a devotional manner. There is a tambura melody going on in the background while certain percussive elements at higher and lower ranges can be heard in the rhythmic structure. The atmosphere is hypnotic. This piece could be used in Hindu religious events. | ["mantra", "meditation music", "male vocal", "female vocal", "chant", "tambura", "percussive elements", "hypnotic", "religious", "immersive"] | ["Mantra", "Music"] | 9 | 30 | 40 | 1 | 1 | ["/m/01c194", "/m/04rlf"] |
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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 );