Before revision:  Specifically, in each trial, we jointly train a subset of all speech tasksunder multi-task setting, with all modules shared. Then we can observe whether one task can benefit another during training . SpeechNet is modularized and flexible for incorporating more modules, tasks, or training approaches in the future.
After revision:  Specifically, in each trial, we jointly train a subset of all speech tasksunder multi-task learning experiments with SpeechNet. We show that SpeechNet learns all of the above tasks, and we further analyze which tasks can be improved by other tasks . SpeechNet is modularized and flexible for incorporating more modules, tasks, or training approaches in the future.