SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale

Raphael Tang, Karun Kumar, Gefei Yang +7

End-to-end automatic speech recognition systems represent the state of the art, but they rely on thousands of hours of manually annotated speech for training, as well as heavyweigh…