Erik McDermott

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 15

Top Topics

Stochastic Optimization

Top Venues

Publications

Roger Hsiao, Liuhui Deng, Erik McDermott, Ruchir Travadi, Xiaodan Zhuang
Optimizing Byte-level Representation for End-to-end ASR. CoRR (2024)
Zijin Gu, Tatiana Likhomanenko, He Bai, Erik McDermott, Ronan Collobert, Navdeep Jaitly
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition. CoRR (2024)
Pawel Swietojanski, Stefan Braun, Dogan Can, Thiago Fraga da Silva, Arnab Ghoshal, Takaaki Hori, Roger Hsiao, Henry Mason, Erik McDermott, Honza Silovsky, Ruchir Travadi, Xiaodan Zhuang
Variable Attention Masking for Configurable Transformer Transducer Speech Recognition. ICASSP (2023)
Stefan Braun, Erik McDermott, Roger Hsiao
Neural Transducer Training: Reduced Memory Consumption with Sample-Wise Computation. ICASSP (2023)
Stefan Braun, Erik McDermott, Roger Hsiao
Neural Transducer Training: Reduced Memory Consumption with Sample-wise Computation. CoRR (2022)
Thien Nguyen, Nathalie Tran, Liuhui Deng, Thiago Fraga da Silva, Matthew Radzihovsky, Roger Hsiao, Henry Mason, Stefan Braun, Erik McDermott, Dogan Can, Pawel Swietojanski, Lyan Verwimp, Sibel Oyman, Tresi Arvizo, Honza Silovsky, Arnab Ghoshal, Mathieu Martel, Bharat Ram Ambati, Mohamed Ali
Optimizing Bilingual Neural Transducer with Synthetic Code-switching Text Generation. CoRR (2022)
Pawel Swietojanski, Stefan Braun, Dogan Can, Thiago Fraga da Silva, Arnab Ghoshal, Takaaki Hori, Roger Hsiao, Henry Mason, Erik McDermott, Honza Silovsky, Ruchir Travadi, Xiaodan Zhuang
Variable Attention Masking for Configurable Transformer Transducer Speech Recognition. CoRR (2022)
Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss. ICASSP (2020)
Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss. CoRR (2020)
Erik McDermott, Hasim Sak, Ehsan Variani
A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition. CoRR (2020)
Erik McDermott, Hasim Sak, Ehsan Variani
A Density Ratio Approach to Language Model Fusion in End-to-End Automatic Speech Recognition. ASRU (2019)
Ehsan Variani, Tom Bagby, Kamel Lahouel, Erik McDermott, Michiel Bacchiani
Sampled Connectionist Temporal Classification. ICASSP (2018)
Bo Li, Tara N. Sainath, Arun Narayanan, Joe Caroselli, Michiel Bacchiani, Ananya Misra, Izhak Shafran, Hasim Sak, Golan Pundak, Kean K. Chin, Khe Chai Sim, Ron J. Weiss, Kevin W. Wilson, Ehsan Variani, Chanwoo Kim, Olivier Siohan, Mitchel Weintraub, Erik McDermott, Richard Rose, Matt Shannon
Acoustic Modeling for Google Home. INTERSPEECH (2017)
Ehsan Variani, Tom Bagby, Erik McDermott, Michiel Bacchiani
End-to-End Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition with TensorFlow. INTERSPEECH (2017)
Ehsan Variani, Erik McDermott, Georg Heigold
A Gaussian Mixture Model layer jointly optimized with discriminative features within a Deep Neural Network architecture. ICASSP (2015)
Erik McDermott, Georg Heigold, Pedro J. Moreno, Andrew W. Senior, Michiel Bacchiani
Asynchronous stochastic optimization for sequence training of deep neural networks: towards big data. INTERSPEECH (2014)
Ehsan Variani, Xin Lei, Erik McDermott, Ignacio Lopez-Moreno, Javier Gonzalez-Dominguez
Deep neural networks for small footprint text-dependent speaker verification. ICASSP (2014)
Georg Heigold, Erik McDermott, Vincent Vanhoucke, Andrew W. Senior, Michiel Bacchiani
Asynchronous stochastic optimization for sequence training of deep neural networks. ICASSP (2014)
Hasim Sak, Oriol Vinyals, Georg Heigold, Andrew W. Senior, Erik McDermott, Rajat Monga, Mark Z. Mao
Sequence discriminative distributed training of long short-term memory recurrent neural networks. INTERSPEECH (2014)
Hank Liao, Erik McDermott, Andrew W. Senior
Large scale deep neural network acoustic modeling with semi-supervised training data for YouTube video transcription. ASRU (2013)
Erik McDermott
An integrated framework for "margin" based sequential discriminative training over lattices based on differenced maximum mutual information (dMMI). MLSLP (2012)
Shinji Watanabe, Takaaki Hori, Erik McDermott, Atsushi Nakamura
A discriminative model for continuous speech recognition based on Weighted Finite State Transducers. ICASSP (2010)
Hideyuki Watanabe, Shigeru Katagiri, Kouta Yamada, Erik McDermott, Atsushi Nakamura, Shinji Watanabe, Miho Ohsaki
Minimum Error Classification with geometric margin control. ICASSP (2010)
Erik McDermott, Shinji Watanabe, Atsushi Nakamura
Discriminative training based on an integrated view of MPE and MMI in margin and error space. ICASSP (2010)
Yotaro Kubo, Shinji Watanabe, Atsushi Nakamura, Erik McDermott, Tetsunori Kobayashi
A Sequential Pattern Classifier Based on Hidden Markov Kernel Machine and Its Application to Phoneme Classification. IEEE J. Sel. Top. Signal Process. 4 (6) (2010)
Erik McDermott, Shinji Watanabe, Atsushi Nakamura
Margin-space integration of MPE loss via differencing of MMI functionals for generalized error-weighted discriminative training. INTERSPEECH (2009)
Atsushi Nakamura, Erik McDermott, Shinji Watanabe, Shigeru Katagiri
A unified view for discriminative objective functions based on negative exponential of difference measure between strings. ICASSP (2009)
Erik McDermott, Atsushi Nakamura
Flexible discriminative training based on equal error group scores obtained from an error-indexed forward-backward algorithm. INTERSPEECH (2008)
John Hogden, Philip Rubin, Erik McDermott, Shigeru Katagiri, Louis Goldstein
: A technique applied to recovering articulation from acoustics. Speech Commun. 49 (5) (2007)
Erik McDermott, Timothy J. Hazen, Jonathan Le Roux, Atsushi Nakamura, Shigeru Katagiri
Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error. IEEE Trans. Speech Audio Process. 15 (1) (2007)
Erik McDermott, Atsushi Nakamura
String and lattice based discriminative training for the corpus of spontaneous Japanese lecture transcription task. INTERSPEECH (2007)
Timothy J. Hazen, Erik McDermott
Discriminative MCE-based speaker adaptation of acoustic models for a spoken lecture processing task. INTERSPEECH (2007)
Jun Suzuki, Erik McDermott, Hideki Isozaki
Training Conditional Random Fields with Multivariate Evaluation Measures. ACL (2006)
Erik McDermott, Atsushi Nakamura
Production-Oriented Models for Speech Recognition. IEICE Trans. Inf. Syst. (3) (2006)
Atsushi Nakamura, Shinji Watanabe, Takaaki Hori, Erik McDermott, Shigeru Katagiri
Advanced computational models and learning theories for spoken language processing. IEEE Comput. Intell. Mag. 1 (2) (2006)
Erik McDermott, Shigeru Katagiri
Discriminative training via minimization of risk estimates based on Parzen smoothing. Appl. Intell. 25 (1) (2006)
Jonathan Le Roux, Erik McDermott
Optimization methods for discriminative training. INTERSPEECH (2005)
Erik McDermott, Shigeru Katagiri
Minimum Classification Error for Large Scale Speech Recognition Tasks using Weighted Finite State Transducers. ICASSP (1) (2005)
Erik McDermott, Timothy J. Hazen
Minimum classification error training of landmark models for real-time continuous speech recognition. ICASSP (1) (2004)
Yasuhiro Minami, Erik McDermott, Atsushi Nakamura, Shigeru Katagiri
A theoretical analysis of speech recognition based on feature trajectory models. INTERSPEECH (2004)
Erik McDermott, Shigeru Katagiri
A derivation of minimum classification error from the theoretical classification risk using Parzen estimation. Comput. Speech Lang. 18 (2) (2004)
Daniel Willett, Thomas Niesler, Erik McDermott, Yasuhiro Minami, Shigeru Katagiri
Pervasive unsupervised adaptation for lecture speech transcription. ICASSP (1) (2003)
Yasuhiro Minami, Erik McDermott, Atsushi Nakamura, Shigeru Katagiri
Recognition method with parametric trajectory generated from mixture distribution HMMs. ICASSP (1) (2003)
John Hogden, Patrick Valdez, Shigeru Katagiri, Erik McDermott
Blind inversion of multidimensional functions for speech enhancement. INTERSPEECH (2003)
Erik McDermott, Shigeru Katagiri
A new formalization of minimum classification error using a Parzen estimate of classification chance. ICASSP (2) (2003)
Erik McDermott, Shigeru Katagiri
Classification error from the theoretical Bayes classification risk. INTERSPEECH (2002)
Erik McDermott, Shigeru Katagiri
Minimum classification error via a Parzen window based estimate of the theoretical Bayes classification risk. NNSP (2002)
Yasuhiro Minami, Erik McDermott, Atsushi Nakamura, Shigeru Katagiri
A recognition method with parametric trajectory synthesized using direct relations between static and dynamic feature vector time series. ICASSP (2002)
Alain Biem, Shigeru Katagiri, Erik McDermott, Biing-Hwang Juang
An application of discriminative feature extraction to filter-bank-based speech recognition. IEEE Trans. Speech Audio Process. 9 (2) (2001)
Daniel Willett, Erik McDermott, Yasuhiro Minami, Shigeru Katagiri
Time and memory efficient viterbi decoding for LVCSR using a precompiled search network. INTERSPEECH (2001)
Erik McDermott, Alain Biem, Seiichi Tenpaku, Shigeru Katagiri
Discriminative training for large vocabulary telephone-based name recognition. ICASSP (2000)
Reiko Akahane-Yamada, Erik McDermott, Takahiro Adachi, Hideki Kawahara, John S. Pruitt
Computer-based second language production training by using spectrographic representation and HMM-based speech recognition scores. ICSLP (1998)
Eric A. Woudenberg, Alain Biem, Erik McDermott, Shigeru Katagiri
Efficient normalization based upon GPD [generalized probabilistic descent]. ICASSP (1997)
Erik McDermott, Shigeru Katagiri
String-level MCE for continuous phoneme recognition. EUROSPEECH (1997)
Erik McDermott, Eric A. Woudenberg, Shigeru Katagiri
A telephone-based directory assistance system adaptively trained using minimum classification error/generalized probabilistic descent. ICASSP (1996)
Alain Biem, Erik McDermott, Shigeru Katagiri
A discriminative filter bank model for speech recognition. EUROSPEECH (1995)
Erik McDermott, Shigeru Katagiri
Prototype-based minimum classification error/generalized probabilistic descent training for various speech units. Comput. Speech Lang. 8 (4) (1994)
Erik McDermott, Shigeru Katagiri
Prototype-based minimum error training for speech recognition. Appl. Intell. 4 (3) (1994)
Erik McDermott, Shigeru Katagiri
Prototype-based MCE/GPD training for word spotting and connected word recognition. ICASSP (2) (1993)
Erik McDermott, Shigeru Katagiri
Prototype-based discriminative training for various speech units. ICASSP (1992)
Erik McDermott, Shigeru Katagiri
LVQ-based shift-tolerant phoneme recognition. IEEE Trans. Signal Process. 39 (6) (1991)
Hitoshi Iwamida, Shigeru Katagiri, Erik McDermott
Speaker-independent large vocabulary word recognition using an LVQ/HMM hybrid algorithm. ICASSP (1991)
Yasuhiro Minami, Toshiyuki Hanazawa, Hitoshi Iwamida, Erik McDermott, Kiyohiro Shikano, Shigeru Katagiri, Masaona Kagawa
On the robustness of HMM and ANN speech recognition algorithms. ICSLP (1990)
Hitoshi Iwamida, Shigeru Katagiri, Erik McDermott, Yoh'ichi Tohkura
A hybrid speech recognition system using HMMs with an LVQ-trained codebook. ICASSP (1990)
Erik McDermott, Shigeru Katagiri
Shift-invariant, multi-category phoneme recognition using Kohonen's LVQ2. ICASSP (1989)
Shigeru Katagiri, Erik McDermott, Manami Yokota
A new algorithm for representing acoustic feature dynamics. ICASSP (1989)