Vijayaditya Peddinti

According to our database1, Vijayaditya Peddinti authored at least 24 papers between 2011 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.
CoRR, 2019

2018
Low Latency Acoustic Modeling Using Temporal Convolution and LSTMs.
IEEE Signal Process. Lett., 2018

3-D CNN Models for Far-Field Multi-Channel Speech Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Backstitch: Counteracting Finite-Sample Bias via Negative Steps.
Proceedings of the Interspeech 2017, 2017

The Kaldi OpenKWS System: Improving Low Resource Keyword Search.
Proceedings of the Interspeech 2017, 2017

Annealed f-Smoothing as a Mechanism to Speed up Neural Network Training.
Proceedings of the Interspeech 2017, 2017

An Exploration of Dropout with LSTMs.
Proceedings of the Interspeech 2017, 2017

A study on data augmentation of reverberant speech for robust speech recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI.
Proceedings of the Interspeech 2016, 2016

Far-Field ASR Without Parallel Data.
Proceedings of the Interspeech 2016, 2016

2015
A time delay neural network architecture for efficient modeling of long temporal contexts.
Proceedings of the INTERSPEECH 2015, 2015

Reverberation robust acoustic modeling using i-vectors with time delay neural networks.
Proceedings of the INTERSPEECH 2015, 2015

Audio augmentation for speech recognition.
Proceedings of the INTERSPEECH 2015, 2015

Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

JHU ASpIRE system: Robust LVCSR with TDNNS, iVector adaptation and RNN-LMS.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014
Evaluating speech features with the minimal-pair ABX task (II): resistance to noise.
Proceedings of the INTERSPEECH 2014, 2014

Deep scattering spectra with deep neural networks for LVCSR tasks.
Proceedings of the INTERSPEECH 2014, 2014

Deep Scattering Spectrum with deep neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Evaluating speech features with the minimal-pair ABX task: analysis of the classical MFC/PLP pipeline.
Proceedings of the INTERSPEECH 2013, 2013

Filter-bank optimization for Frequency Domain Linear Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2013


Mean temporal distance: Predicting ASR error from temporal properties of speech signal.
Proceedings of the IEEE International Conference on Acoustics, 2013

2011
Exploiting Phone-Class Specific Landmarks for Refinement of Segment Boundaries in TTS Databases.
Proceedings of the INTERSPEECH 2011, 2011

Significance of vowel epenthesis in Telugu text-to-speech synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2011


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