musiccaps
5 rows where aspect_list contains "amateur recording" and aspect_list contains "high pitch"
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aspect_list (array) 41 ✖
- amateur recording · 5 ✖
- high pitch · 5 ✖
- hindi song 2
- acoustic guitar 1
- ambient sounds 1
- calming 1
- devotional song 1
- digital bass 1
- digital drum 1
- electro 1
- energetic energy 1
- fast tempo 1
- female vocals 1
- female voice singing 1
- high notes 1
- hindi movie song 1
- hindu devotion music 1
- indian classical 1
- indian devotion music 1
- indian music 1
- inferior audio quality 1
- keyboard 1
- keyboard harmony 1
- live performance 1
- male voice singing 1
- meditative 1
- medium to uptempo 1
- people cheering 1
- percussion's 1
- scratching 1
- shakers 1
- shofar 1
- slow tempo 1
- slower to medium tempo 1
- song introduction 1
- strings 1
- tambourine 1
- tanpura 1
- tibetan bowls 1
- violin harmony 1
- voice sample 1
ytid ▼ | url | caption | aspect_list | audioset_names | author_id | start_s | end_s | is_balanced_subset | is_audioset_eval | audioset_ids |
---|---|---|---|---|---|---|---|---|---|---|
HdRPdh-cSTw | A female vocalist sings this Hindi Devotion song. The tempo is slow with keyboard harmony,tambourine beats, violin melody and rhythmic tanpura accompaniment. This clip is the song introduction with slow chants like singing. The song is a Hindu Devotion song to the God Shiva. It is emotional, sentimental, devotional, prayerful praise and worship. There are ambient sounds of people talking and cheering, indicating that this is a live performance. | ["female vocals", "slow tempo", "high pitch", "high notes", "tambourine", "indian classical", "indian devotion music", "hindu devotion music", "indian music", "keyboard harmony", "hindi song", "hindi movie song", "devotional song", "song introduction", "amateur recording", "inferior audio quality", "live performance", "people cheering", "violin harmony", "keyboard", "shakers", "tanpura", "ambient sounds"] | ["Music of Asia", "Music", "Synthetic singing"] | 7 | 140 | 150 | 0 | 0 | ["/m/028sqc", "/m/04rlf", "/t/dd00006"] | |
LaoUSBEVHVQ | Someone is hitting tibetan bowls that keep ringing out with a big release time. This may be playing in a meditation workshop. | ["amateur recording", "tibetan bowls", "high pitch", "meditative", "calming"] | ["Singing bowl"] | 6 | 30 | 40 | 0 | 0 | ["/m/0l14t7"] | |
N_LKZjw9DLk | This song contains a female voice singing in a high pitch along to strings playing their own supportive melody and percussion's holding a groove with different elements. This is an amateur recording. This song may be playing at a gym during dancing classes. | ["hindi song", "female voice singing", "high pitch", "strings", "percussion's", "slower to medium tempo", "amateur recording"] | ["Singing", "Music", "Song", "Tambourine", "Music of Bollywood"] | 6 | 60 | 70 | 0 | 1 | ["/m/015lz1", "/m/04rlf", "/m/074ft", "/m/07brj", "/m/0dq0md"] | |
eZrrzGgTpfk | This audio seems to contain two songs. In the beginning someone is strumming chords on acoustic drums while a male voice is singing in a high pitch. Then the song switches to a robotic voice sample singing. Then a digital drum comes in with a fat kick and bass sound creating the base together with the vocal sample. In the background you can hear scratching sounds. This song may be playing while working out. | ["amateur recording", "electro", "digital drum", "digital bass", "voice sample", "scratching", "male voice singing", "high pitch", "acoustic guitar", "medium to uptempo", "energetic energy"] | ["Music", "Theremin", "Outside, rural or natural"] | 6 | 100 | 110 | 0 | 0 | ["/m/04rlf", "/m/07kc_", "/t/dd00129"] | |
jOkHEMsCCFc | Someone is playing a shofar in a very high pitch using rhythmic techniques. There is some reverb of the room in the recording. This song may be playing while enjoying your instrument at home. | ["amateur recording", "shofar", "high pitch", "fast tempo"] | ["Wind instrument, woodwind instrument", "Shofar"] | 6 | 30 | 40 | 0 | 0 | ["/m/085jw", "/m/0l14l2"] |
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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 );