Kartik Audhkhasi

发表

Lattice-based lexical cues for word fragment detection in conversational speech

Panayiotis G. Georgiou, Shrikanth S. Narayanan, Kartik Audhkhasi, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

End-to-end ASR-free keyword search from speech

Brian Kingsbury, Bhuvana Ramabhadran, Andrew Rosenberg, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Recent progress in deep end-to-end models for spoken language processing

Bhuvana Ramabhadran, George Saon, Michael Picheny, 2017, IBM J. Res. Dev..

Direct Acoustics-to-Word Models for English Conversational Speech Recognition

Bhuvana Ramabhadran, George Saon, Michael Picheny, 2017, INTERSPEECH.

Training ensemble of diverse classifiers on feature subsets

Rahul Gupta, Shrikanth S. Narayanan, Kartik Audhkhasi, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Noise-enhanced convolutional neural networks

Osonde Osoba, Bart Kosko, Kartik Audhkhasi, 2016, Neural Networks.

Alignment-Length Synchronous Decoding for RNN Transducer

George Saon, Kartik Audhkhasi, Zoltán Tüske, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Invariant Representations for Noisy Speech Recognition pdf

Bhuvana Ramabhadran, Yoshua Bengio, Dmitriy Serdyuk, 2016, ArXiv.

Automatic evaluation of spoken english fluency

Ashish Verma, Kartik Audhkhasi, Kundan Kandhway, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Paralinguistic event detection from speech using probabilistic time-series smoothing and masking

Rahul Gupta, Shrikanth S. Narayanan, Sungbok Lee, 2013, INTERSPEECH.

Multilingual Data Selection for Low Resource Speech Recognition

Brian Kingsbury, Bhuvana Ramabhadran, Jia Cui, 2016, INTERSPEECH.

Automatic speech recognition system channel modeling

Panayiotis G. Georgiou, Shrikanth S. Narayanan, Emil Ettelaie, 2010, INTERSPEECH.

Theoretical Analysis of Diversity in an Ensemble of Automatic Speech Recognition Systems

Panayiotis G. Georgiou, Shrikanth S. Narayanan, Kartik Audhkhasi, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Advancing Sequence-to-Sequence Based Speech Recognition

George Saon, Kartik Audhkhasi, Zoltán Tüske, 2019, INTERSPEECH.

Joint training of interpolated exponential n-gram models

Ebru Arisoy, Bhuvana Ramabhadran, Shrikanth S. Narayanan, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

A computational framework for diversity in ensembles of humans and machine systems

Kartik Audhkhasi, 2014 .

Grounding Spoken Words in Unlabeled Video

Michael Picheny, James R. Glass, Antonio Torralba, 2019, CVPR Workshops.

Knowledge distillation across ensembles of multilingual models for low-resource languages

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Accurate transcription of broadcast news speech using multiple noisy transcribers and unsupervised reliability metrics

Panayiotis G. Georgiou, Shrikanth S. Narayanan, Kartik Audhkhasi, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-Task CTC Training with Auxiliary Feature Reconstruction for End-to-End Speech Recognition

Kartik Audhkhasi, Gakuto Kurata, Kartik Audhkhasi, 2019, INTERSPEECH.

Two-scale Auditory Feature Based Non-intrusive Speech Quality Evaluation

Arun Kumar, Kartik Audhkhasi, S. Hamedi, 2010 .

Whole Sentence Neural Language Models

Bhuvana Ramabhadran, Kartik Audhkhasi, Abhinav Sethy, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition

Bhuvana Ramabhadran, Mark Hasegawa-Johnson, Andrew Rosenberg, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Reliability-Weighted Acoustic Model Adaptation Using Crowd Sourced Transcriptions

Panayiotis G. Georgiou, Shrikanth S. Narayanan, Kartik Audhkhasi, 2011, INTERSPEECH.

Semantic word embedding neural network language models for automatic speech recognition

Bhuvana Ramabhadran, Kartik Audhkhasi, Abhinav Sethy, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Detection and Recovery of OOVs for Improved English Broadcast News Captioning

Michael Picheny, Samuel Thomas, Kartik Audhkhasi, 2019, INTERSPEECH.

Speaker Personality Classification Using Systems Based on Acoustic-Lexical Cues and an Optimal Tree-Structured Bayesian Network

Angeliki Metallinou, Shrikanth S. Narayanan, Ming Li, 2012, INTERSPEECH.

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos pdf

Brian Kingsbury, Michael Picheny, James Glass, 2020, ArXiv.

Keyword Search using Modified Minimum Edit Distance Measure

Ashish Verma, Kartik Audhkhasi, Kartik Audhkhasi, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Automatic Evaluation of Fluency in Spoken Language

Kartik Audhkhasi, Kartik Audhkhasi, 2009 .

Which ASR should I choose for my dialogue system?

Anton Leuski, David R. Traum, Ron Artstein, 2013, SIGDIAL Conference.

Semi-supervised term-weighted value rescoring for keyword search

Bhuvana Ramabhadran, Shrikanth S. Narayanan, Kartik Audhkhasi, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Forget a Bit to Learn Better: Soft Forgetting for CTC-Based Automatic Speech Recognition

Brian Kingsbury, George Saon, Michael Picheny, 2019, INTERSPEECH.

A mixture of experts approach towards intelligibility classification of pathological speech

Rahul Gupta, Shrikanth S. Narayanan, Kartik Audhkhasi, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Data-dependent evaluator modeling and its application to emotional valence classification from speech

Shrikanth S. Narayanan, Kartik Audhkhasi, Kartik Audhkhasi, 2010, INTERSPEECH.

Fusion of diverse denoising systems for robust automatic speech recognition

Naveen Kumar, Shrikanth S. Narayanan, Maarten Van Segbroeck, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sequence Noise Injected Training for End-to-end Speech Recognition

Brian Kingsbury, George Saon, Kartik Audhkhasi, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Modeling Multiple Time Series Annotations as Noisy Distortions of the Ground Truth: An Expectation-Maximization Approach

Agata Rozga, Rahul Gupta, Shrikanth S. Narayanan, 2018, IEEE Transactions on Affective Computing.

Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems

Brian Kingsbury, Michael Picheny, Samuel Thomas, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Detecting paralinguistic events in audio stream using context in features and probabilistic decisions

Rahul Gupta, Shrikanth S. Narayanan, Sungbok Lee, 2016, Comput. Speech Lang..

Improved Knowledge Distillation from Bi-Directional to Uni-Directional LSTM CTC for End-to-End Speech Recognition

Kartik Audhkhasi, Gakuto Kurata, Kartik Audhkhasi, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Noisy hidden Markov models for speech recognition

Osonde Osoba, Bart Kosko, Kartik Audhkhasi, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

End-to-end speech recognition and keyword search on low-resource languages

Bhuvana Ramabhadran, Michael Picheny, Andrew Rosenberg, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Empirical link between hypothesis diversity and fusion performance in an ensemble of automatic speech recognition systems

Panayiotis G. Georgiou, Shrikanth S. Narayanan, Kartik Audhkhasi, 2013, INTERSPEECH.

Classifying language-related developmental disorders from speech cues: the promise and the potential confounds

Shrikanth S. Narayanan, Sungbok Lee, Ming Li, 2013, INTERSPEECH.

Efficient one-vs-one kernel ridge regression for speech recognition

Brian Kingsbury, Jie Chen, Kartik Audhkhasi, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Emotion classification from speech using evaluator reliability-weighted combination of ranked lists

Shrikanth S. Narayanan, Kartik Audhkhasi, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Generalized Ambiguity Decomposition for Understanding Ensemble Diversity pdf

Bhuvana Ramabhadran, Shrikanth S. Narayanan, Kartik Audhkhasi, 2013, ArXiv.

A Globally-Variant Locally-Constant Model for Fusion of Labels from Multiple Diverse Experts without Using Reference Labels

Shrikanth S. Narayanan, Kartik Audhkhasi, Kartik Audhkhasi, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Challenging the Boundaries of Speech Recognition: The MALACH Corpus pdf

Brian Kingsbury, George Saon, Michael Picheny, 2019, INTERSPEECH.

Noise can speed backpropagation learning and deep bidirectional pretraining

Osonde Osoba, Bart Kosko, Kartik Audhkhasi, 2020, Neural Networks.

Acoustically Grounded Word Embeddings for Improved Acoustics-to-word Speech Recognition

Michael Picheny, Karen Livescu, Kartik Audhkhasi, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

English Conversational Telephone Speech Recognition by Humans and Machines

Xiaodong Cui, Bhuvana Ramabhadran, George Saon, 2017, INTERSPEECH.

Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300

Brian Kingsbury, George Saon, Kartik Audhkhasi, 2020, INTERSPEECH.

Multilingual representations for low resource speech recognition and keyword search

Brian Kingsbury, Bhuvana Ramabhadran, Michael Picheny, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Simplified LSTMS for Speech Recognition

Brian Kingsbury, Michael Picheny, Kartik Audhkhasi, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

End-to-End Spoken Language Understanding Without Full Transcripts

Brian Kingsbury, Samuel Thomas, Zvi Kons, 2020, INTERSPEECH.

Analyzing quality of crowd-sourced speech transcriptions of noisy audio for acoustic model adaptation

Panayiotis G. Georgiou, Shrikanth S. Narayanan, Kartik Audhkhasi, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Creating ensemble of diverse maximum entropy models

Bhuvana Ramabhadran, Shrikanth S. Narayanan, Kartik Audhkhasi, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Guiding CTC Posterior Spike Timings for Improved Posterior Fusion and Knowledge Distillation pdf

Kartik Audhkhasi, Gakuto Kurata, Kartik Audhkhasi, 2019, INTERSPEECH.

Building Competitive Direct Acoustics-to-Word Models for English Conversational Speech Recognition

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Formant-based technique for automatic filled-pause detection in spontaneous spoken english

Ashish Verma, Kartik Audhkhasi, Kundan Kandhway, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Noise benefits in backpropagation and deep bidirectional pre-training

Osonde Osoba, Bart Kosko, Kartik Audhkhasi, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

End-to-end ASR-free keyword search from speech

Brian Kingsbury, Bhuvana Ramabhadran, Andrew Rosenberg, 2017, ICASSP.

Diverse Embedding Neural Network Language Models pdf

Bhuvana Ramabhadran, Kartik Audhkhasi, Abhinav Sethy, 2015, ICLR.

Bat-inspired dynamic features and factors that modulate their impact on speech recognition

Xiaodong Cui, Kartik Audhkhasi, Joseph Sutlive, 2018 .

Transliteration Based Data Augmentation for Training Multilingual ASR Acoustic Models in Low Resource Settings

Brian Kingsbury, Samuel Thomas, Kartik Audhkhasi, 2020, INTERSPEECH.

A reranking approach for recognition and classification of speech input in conversational dialogue systems

David R. Traum, Ron Artstein, Panayiotis G. Georgiou, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

Mixture Model Attention: Flexible Streaming and Non-Streaming Automatic Speech Recognition

Bhuvana Ramabhadran, Kartik Audhkhasi, Pedro J. Moreno, 2021, Interspeech.

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos pdf

James Glass, Brian Kingsbury, Michael Picheny, 2021, Interspeech 2021.

Convolutional Dropout and Wordpiece Augmentation for End-to-End Speech Recognition

Bhuvana Ramabhadran, Kartik Audhkhasi, Yinghui Huang, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Regularizing Word Segmentation by Creating Misspellings

Bhuvana Ramabhadran, Jesse Emond, Kartik Audhkhasi, 2021, Interspeech.