A music continuation software aims to solve the problem of seamlessly transitioning between two separate pieces of music, such as during a DJ set or live performance. The software takes two audio tracks and analyzes the tempo, key, and other musical characteristics to generate a smooth, natural-sounding transition between them. This can make it easier for DJs and musicians to create smooth transitions between songs and maintain a consistent energy level in their performance.
We ran into erros with tensorflow like TypeError: Value passed to parameter 'indices' has DataType float64 not in list of allowed values: uint8, int8, int32, int64 while using Lambda functions and passing into tf.one_hot and np.stack for creating a sequence in tensors was also showing an error. We spent a few hours solving this errors as we are beginers in ML.
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