babble-rnn is a research project in the use of machine learning to generate new speech by modelling human speech audio, without any intermediate text or word representations. The idea is to learn to speak through imitation, much like a baby might.
This babbler is a stack of 11 bidirectional LSTMs, attempting to learning an encoded sequence of data (frame of 13 normalized parameters, representing 20ms of audio).Groups of LSTMs are trained toget…
