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VocalVirtuoso

tags: generative, music, speech synthesis

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'VocalVirtuoso' dataset is a curated collection of high-fidelity audio samples featuring various professional vocalists, each selected for their ability to produce distinct musical genres and styles. The dataset is intended for research and development in the field of generative music and speech synthesis, particularly focusing on improving the quality and diversity of generated music using machine learning techniques. The dataset comprises labeled audio samples that span classical, jazz, pop, and electronic music, ensuring a comprehensive representation of vocal artistry.

CSV Content Preview:

"title","artist","genre","duration","labels"
"Melodic Serenade","Lyra Voices","Classical","2.5","Artistry, Vocal Range, Classical"
"Jazz Nights","Echo Ensemble","Jazz","3.1","Improvisation, Rhythm, Vocal Quality"
"Pop Vibes","Sunny Tunes","Pop","2.8","Vocal Hooks, Production, Danceability"
"Electric Vocal","Synth Sound","Electronic","3.0","Lyricism, Effects, Vocal Harmony"
"Operatic Overture","Opera Oceans","Opera","4.2","Vocal Power, Emotional Depth, Classical"

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'music generat':

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