1
Rongqing Huang, Ilya Oparin: Applying neural network language models to weighted finite state transducers for automatic speech recognition. Apple, Dentons US, August 14, 2018: US10049668 (2 worldwide citation)

Systems and processes for converting speech-to-text are provided. In one example process, speech input can be received. A sequence of states and arcs of a weighted finite state transducer (WFST) can be traversed. A negating finite state transducer (FST) can be traversed. A virtual FST can be compose ...


2
Matthias Paulik, Rongqing Huang: Method for supporting dynamic grammars in WFST-based ASR. Apple, Morrison & Foerster, November 22, 2016: US09502031 (2 worldwide citation)

Systems and processes are disclosed for recognizing speech using a weighted finite state transducer (WFST) approach. Dynamic grammars can be supported by constructing the final recognition cascade during runtime using difference grammars. In a first grammar, non-terminals can be replaced with a, wei ...


3
Changxue C Ma, Rongqing Huang: Method and apparatus for detecting affects in speech. Motorola, Motorola, August 16, 2007: US20070192097-A1

A method and apparatus for speaker independent real-time affect detection includes generating (205) a sequence of audio frames from a segment of speech, generating (210) a sequence of feature sets by generating a feature set for each frame, and applying (215) the sequence of feature sets to a sequen ...