Kanishka Rao

According to our database1, Kanishka Rao authored at least 26 papers between 2015 and 2018.

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Bibliography

2018
Large-Scale Visual Speech Recognition.
CoRR, 2018

Exploring Architectures, Data and Units For Streaming End-to-End Speech Recognition with RNN-Transducer.
CoRR, 2018

Multilingual Speech Recognition with a Single End-to-End Model.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

State-of-the-Art Speech Recognition with Sequence-to-Sequence Models.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
State-of-the-art Speech Recognition With Sequence-to-Sequence Models.
CoRR, 2017

Multi-Dialect Speech Recognition With A Single Sequence-To-Sequence Model.
CoRR, 2017

Multilingual Speech Recognition With A Single End-To-End Model.
CoRR, 2017

Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence Models.
CoRR, 2017

Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping.
Proceedings of the Interspeech 2017, 2017

An Analysis of "Attention" in Sequence-to-Sequence Models.
Proceedings of the Interspeech 2017, 2017

A Comparison of Sequence-to-Sequence Models for Speech Recognition.
Proceedings of the Interspeech 2017, 2017

Pronunciation Learning with RNN-Transducers.
Proceedings of the Interspeech 2017, 2017

Multi-accent speech recognition with hierarchical grapheme based models.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Exploring architectures, data and units for streaming end-to-end speech recognition with RNN-transducer.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

Streaming small-footprint keyword spotting using sequence-to-sequence models.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016
Personalized Speech recognition on mobile devices.
CoRR, 2016

Predicting Pronunciations with Syllabification and Stress with Recurrent Neural Networks.
Proceedings of the Interspeech 2016, 2016

Flat start training of CD-CTC-SMBR LSTM RNN acoustic models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Personalized speech recognition on mobile devices.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition.
CoRR, 2015

Fast and accurate recurrent neural network acoustic models for speech recognition.
Proceedings of the INTERSPEECH 2015, 2015

Learning acoustic frame labeling for speech recognition with recurrent neural networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Automatic pronunciation verification for speech recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Acoustic modelling with CD-CTC-SMBR LSTM RNNS.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015


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