Love this idea. Most people subvocalize when they read, and my guess is the same for when they write. As for subvocalizing when we think, I have no idea, but I suppose if one were engaged in “talking to oneself” type thinking, that it could be possible that many subvocalize their internal monologues.
Is there some kind of sensor that one could wear that would be unobtrusive enough to measure subvocalization? If so, building a training dataset for an ML model would be as simple as having many people read and write a significant amount of text while using the sensor.
Even better if that text corpus overlaps with text that has been used to train text-to-speech models like Whisper, as you might get away with knowledge transfer with such a model.
With feedback, it is likely possible for you to train yourself to subvocalize your thoughts as an act of recording. I thought this sentence before writing it, but I subvvocalized while typing.
Is there some kind of sensor that one could wear that would be unobtrusive enough to measure subvocalization? If so, building a training dataset for an ML model would be as simple as having many people read and write a significant amount of text while using the sensor.
Even better if that text corpus overlaps with text that has been used to train text-to-speech models like Whisper, as you might get away with knowledge transfer with such a model.
It’s definitely worth looking into!