deep-tts

Deep Learning based Text-to-Speech Synthesis (under construction)

##To Do List

1. Feature extraction
   1. Linguistic: ourselves (or Festival as backup)
   2. Acoustic: WORLD
2. State alignment:
   1. Kaldi (Refer to Merlin: The frame alignment and state information was obtained from forced alignment using a monophone HMM-based system with 5 emitting states per phone. Based on my previous experience, obejective model measurements highly depend on a accurate alignment.)
   2. HTS as backup
3. Neural network: MXNet (or CNTK as backup)