Unsupervised alignment for text to speech synthesis using neural networks

A system comprising:

• one or more processing units to perform, based at least on an inferencing distribution, inferencing using one or more machine learning models, wherein the inferencing distribution is generated, at least, from a training distribution of the one or more machine learning models that omits one or more distribution values corresponding to a set of synthesized audio samples after updating one or more parameters of the one or more machine learning models that were determined using the training distribution.