Songburst
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Pricing model
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Songburst is an advanced AI-driven music creation tool accessible to all. It enables users to produce music for their digital projects like videos and podcasts, craft samples for personal mixes, or distribute their tracks on platforms like Spotify and Apple Music. By simply describing the desired sound, users can transform their words into music with the help of AI, which will generate a unique track. Additionally, the Songburst Prompt Enhancer can be used to enrich prompts, and users can download their songs as wav or mp3 files without restrictions.
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Songburst is an advanced AI-driven music creation tool accessible to all. It enables users to produce music for their digital projects like videos and podcasts, craft samples for personal mixes, or distribute their tracks on platforms like Spotify and Apple Music. By simply describing the desired sound, users can transform their words into music with the help of AI, which will generate a unique track. Additionally, the Songburst Prompt Enhancer can be used to enrich prompts, and users can download their songs as wav or mp3 files without restrictions.
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MusicLM is a model designed to create high-quality music from text descriptions. This tool employs a hierarchical sequence-to-sequence modeling approach, producing music at 24 kHz that maintains consistency over multiple minutes. It can tailor the generated music to both text and melody, enabling the transformation of whistled and hummed tunes into a style outlined in a text description. Moreover, the tool can produce music based on descriptions of paintings, various instruments, genres, musician experience levels, locations, and time periods. It is also capable of creating diverse versions of the same text prompt and semantic tokens.
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MuseNet, developed by OpenAI, is a sophisticated neural network capable of creating 4-minute musical pieces using 10 different instruments and blending styles ranging from country to Mozart to the Beatles. It operates with the same versatile unsupervised technology as GPT-2, a vast transformer model designed to forecast the next token in a sequence, applicable to both audio and text. The model learns from MIDI file data and can produce samples in a selected style by beginning with a prompt. It utilizes multiple embeddings, including positional, timing, and structural embeddings, to provide the model with additional context.