Johan Schalkwyk — accepted AI-conference papers

2023

Lego-Features: Exporting Modular Encoder Features for Streaming and Deliberation ASR

Rami Botros, Rohit Prabhavalkar, Johan Schalkwyk, Ciprian Chelba, Tara N. Sainath, Françoise Beaufays

ICASSP 2023accepted

In end-to-end (E2E) speech recognition models, a representational tight-coupling inevitably emerges between the encoder and the decoder. We build upon recent work that has begun to explore building encoders with modular encoded representations, such that encoders and decoders from different models c…

Cited by 3 Source ↗Scholar ↗

2015

Learning acoustic frame labeling for speech recognition with recurrent neural networks

Hasim Sak, Andrew W. Senior, Kanishka Rao, Ozan Irsoy, Alex Graves, Françoise Beaufays +1

ICASSP 2015accepted

We explore alternative acoustic modeling techniques for large vocabulary speech recognition using Long Short-Term Memory recurrent neural networks. For an acoustic frame labeling task, we compare the conventional approach of cross-entropy (CE) training using fixed forced-alignments of frames and lab…

Cited by 0 Source ↗Scholar ↗

2015

Long short term memory neural network for keyboard gesture decoding

Ouais Alsharif, Tom Ouyang, Françoise Beaufays, Shumin Zhai, Thomas M. Breuel, Johan Schalkwyk

ICASSP 2015accepted

Gesture typing is an efficient input method for phones and tablets using continuous traces created by a pointed object (e.g., finger or stylus). Translating such continuous gestures into textual input is a challenging task as gesture inputs exhibit many features found in speech and handwriting such…

Cited by 0 Source ↗Scholar ↗