A new algorithm for representing acoustic feature dynamics. - Shigeru Katagiri; Erik McDermott; Manami Yokota (ICASSP, 1989)

Shift-invariant, multi-category phoneme recognition using Kohonen's LVQ2. - Erik McDermott; Shigeru Katagiri (ICASSP, 1989)

A hybrid speech recognition system using HMMs with an LVQ-trained codebook. - Hitoshi Iwamida; Shigeru Katagiri; Erik McDermott; Yoh'ichi Tohkura (ICASSP, 1990)

On the robustness of HMM and ANN speech recognition algorithms. - Yasuhiro Minami; Toshiyuki Hanazawa; Hitoshi Iwamida; Erik McDermott; Kiyohiro Shikano; Shigeru Katagiri; Masaona Kagawa (ICSLP, 1990)

Speaker-independent large vocabulary word recognition using an LVQ/HMM hybrid algorithm. - Hitoshi Iwamida; Shigeru Katagiri; Erik McDermott (ICASSP, 1991)

LVQ-based shift-tolerant phoneme recognition. - Erik McDermott; Shigeru Katagiri (IEEE Trans. Signal Process., 1991)

Prototype-based discriminative training for various speech units. - Erik McDermott; Shigeru Katagiri (ICASSP, 1992)

Prototype-based MCE/GPD training for word spotting and connected word recognition. - Erik McDermott; Shigeru Katagiri (ICASSP (2), 1993)

Prototype-based minimum error training for speech recognition. - Erik McDermott; Shigeru Katagiri (Appl. Intell., 1994)

Prototype-based minimum classification error/generalized probabilistic descent training for various speech units. - Erik McDermott; Shigeru Katagiri (Comput. Speech Lang., 1994)

A discriminative filter bank model for speech recognition. - Alain Biem; Erik McDermott; Shigeru Katagiri (EUROSPEECH, 1995)

A telephone-based directory assistance system adaptively trained using minimum classification error/generalized probabilistic descent. - Erik McDermott; Eric A. Woudenberg; Shigeru Katagiri (ICASSP, 1996)

Efficient normalization based upon GPD [generalized probabilistic descent]. - Eric A. Woudenberg; Alain Biem; Erik McDermott; Shigeru Katagiri (ICASSP, 1997)

String-level MCE for continuous phoneme recognition. - Erik McDermott; Shigeru Katagiri (EUROSPEECH, 1997)

Computer-based second language production training by using spectrographic representation and HMM-based speech recognition scores. - Reiko Akahane-Yamada; Erik McDermott; Takahiro Adachi; Hideki Kawahara; John S. Pruitt (ICSLP, 1998)

Discriminative training for large vocabulary telephone-based name recognition. - Erik McDermott; Alain Biem; Seiichi Tenpaku; Shigeru Katagiri (ICASSP, 2000)

Time and memory efficient viterbi decoding for LVCSR using a precompiled search network. - Daniel Willett; Erik McDermott; Yasuhiro Minami; Shigeru Katagiri (INTERSPEECH, 2001)

An application of discriminative feature extraction to filter-bank-based speech recognition. - Alain Biem; Shigeru Katagiri; Erik McDermott; Biing-Hwang Juang (IEEE Trans. Speech Audio Process., 2001)

A recognition method with parametric trajectory synthesized using direct relations between static and dynamic feature vector time series. - Yasuhiro Minami; Erik McDermott; Atsushi Nakamura; Shigeru Katagiri (ICASSP, 2002)

Classification error from the theoretical Bayes classification risk. - Erik McDermott; Shigeru Katagiri (INTERSPEECH, 2002)

Minimum classification error via a Parzen window based estimate of the theoretical Bayes classification risk. - Erik McDermott; Shigeru Katagiri (NNSP, 2002)

A new formalization of minimum classification error using a Parzen estimate of classification chance. - Erik McDermott; Shigeru Katagiri (ICASSP (2), 2003)

Recognition method with parametric trajectory generated from mixture distribution HMMs. - Yasuhiro Minami; Erik McDermott; Atsushi Nakamura; Shigeru Katagiri (ICASSP (1), 2003)

Pervasive unsupervised adaptation for lecture speech transcription. - Daniel Willett; Thomas Niesler; Erik McDermott; Yasuhiro Minami; Shigeru Katagiri (ICASSP (1), 2003)

Blind inversion of multidimensional functions for speech enhancement. - John Hogden; Patrick Valdez; Shigeru Katagiri; Erik McDermott (INTERSPEECH, 2003)

Minimum classification error training of landmark models for real-time continuous speech recognition. - Erik McDermott; Timothy J. Hazen (ICASSP (1), 2004)

A theoretical analysis of speech recognition based on feature trajectory models. - Yasuhiro Minami; Erik McDermott; Atsushi Nakamura; Shigeru Katagiri (INTERSPEECH, 2004)

A derivation of minimum classification error from the theoretical classification risk using Parzen estimation. - Erik McDermott; Shigeru Katagiri (Comput. Speech Lang., 2004)

Minimum Classification Error for Large Scale Speech Recognition Tasks using Weighted Finite State Transducers. - Erik McDermott; Shigeru Katagiri (ICASSP (1), 2005)

Optimization methods for discriminative training. - Jonathan Le Roux; Erik McDermott (INTERSPEECH, 2005)

Training Conditional Random Fields with Multivariate Evaluation Measures. - Jun Suzuki 001; Erik McDermott; Hideki Isozaki (ACL, 2006)

Discriminative training via minimization of risk estimates based on Parzen smoothing. - Erik McDermott; Shigeru Katagiri (Appl. Intell., 2006)

Advanced computational models and learning theories for spoken language processing. - Atsushi Nakamura; Shinji Watanabe 001; Takaaki Hori; Erik McDermott; Shigeru Katagiri (IEEE Comput. Intell. Mag., 2006)

Production-Oriented Models for Speech Recognition. - Erik McDermott; Atsushi Nakamura (IEICE Trans. Inf. Syst., 2006)

Discriminative MCE-based speaker adaptation of acoustic models for a spoken lecture processing task. - Timothy J. Hazen; Erik McDermott (INTERSPEECH, 2007)

String and lattice based discriminative training for the corpus of spontaneous Japanese lecture transcription task. - Erik McDermott; Atsushi Nakamura (INTERSPEECH, 2007)

Inverting mappings from smooth paths through Rn to paths through Rm: A technique applied to recovering articulation from acoustics. - John Hogden; Philip Rubin; Erik McDermott; Shigeru Katagiri; Louis Goldstein (Speech Commun., 2007)

Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error. - Erik McDermott; Timothy J. Hazen; Jonathan Le Roux; Atsushi Nakamura; Shigeru Katagiri (IEEE Trans. Speech Audio Process., 2007)

Flexible discriminative training based on equal error group scores obtained from an error-indexed forward-backward algorithm. - Erik McDermott; Atsushi Nakamura (INTERSPEECH, 2008)

A unified view for discriminative objective functions based on negative exponential of difference measure between strings. - Atsushi Nakamura; Erik McDermott; Shinji Watanabe 001; Shigeru Katagiri (ICASSP, 2009)

Margin-space integration of MPE loss via differencing of MMI functionals for generalized error-weighted discriminative training. - Erik McDermott; Shinji Watanabe 001; Atsushi Nakamura (INTERSPEECH, 2009)

Discriminative training based on an integrated view of MPE and MMI in margin and error space. - Erik McDermott; Shinji Watanabe 001; Atsushi Nakamura (ICASSP, 2010)

A discriminative model for continuous speech recognition based on Weighted Finite State Transducers. - Shinji Watanabe 001; Takaaki Hori; Erik McDermott; Atsushi Nakamura (ICASSP, 2010)

Minimum Error Classification with geometric margin control. - Hideyuki Watanabe; Shigeru Katagiri; Kouta Yamada; Erik McDermott; Atsushi Nakamura; Shinji Watanabe 001; Miho Ohsaki (ICASSP, 2010)

A Sequential Pattern Classifier Based on Hidden Markov Kernel Machine and Its Application to Phoneme Classification. - Yotaro Kubo; Shinji Watanabe 001; Atsushi Nakamura; Erik McDermott; Tetsunori Kobayashi (IEEE J. Sel. Top. Signal Process., 2010)

An integrated framework for "margin" based sequential discriminative training over lattices based on differenced maximum mutual information (dMMI). - Erik McDermott (MLSLP, 2012)

Large scale deep neural network acoustic modeling with semi-supervised training data for YouTube video transcription. - Hank Liao; Erik McDermott; Andrew W. Senior (ASRU, 2013)

Asynchronous stochastic optimization for sequence training of deep neural networks. - Georg Heigold; Erik McDermott; Vincent Vanhoucke; Andrew W. Senior; Michiel Bacchiani (ICASSP, 2014)

Deep neural networks for small footprint text-dependent speaker verification. - Ehsan Variani; Xin Lei; Erik McDermott; Ignacio López-Moreno; Javier Gonzalez-Dominguez (ICASSP, 2014)

Asynchronous stochastic optimization for sequence training of deep neural networks: towards big data. - Erik McDermott; Georg Heigold; Pedro J. Moreno 001; Andrew W. Senior; Michiel Bacchiani (INTERSPEECH, 2014)

Sequence discriminative distributed training of long short-term memory recurrent neural networks. - Hasim Sak; Oriol Vinyals; Georg Heigold; Andrew W. Senior; Erik McDermott; Rajat Monga; Mark Z. Mao (INTERSPEECH, 2014)

A Gaussian Mixture Model layer jointly optimized with discriminative features within a Deep Neural Network architecture. - Ehsan Variani; Erik McDermott; Georg Heigold (ICASSP, 2015)

Acoustic Modeling for Google Home. - Bo Li 028; 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; et al. (INTERSPEECH, 2017)

End-to-End Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition with TensorFlow. - Ehsan Variani; Tom Bagby; Erik McDermott; Michiel Bacchiani (INTERSPEECH, 2017)

Sampled Connectionist Temporal Classification. - Ehsan Variani; Tom Bagby; Kamel Lahouel; Erik McDermott; Michiel Bacchiani (ICASSP, 2018)

A Density Ratio Approach to Language Model Fusion in End-to-End Automatic Speech Recognition. - Erik McDermott; Hasim Sak; Ehsan Variani (ASRU, 2019)

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss. - Qian Zhang; Han Lu; Hasim Sak; Anshuman Tripathi; Erik McDermott; Stephen Koo; Shankar Kumar (ICASSP, 2020)

Optimizing Bilingual Neural Transducer with Synthetic Code-switching Text Generation. - 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; et al. (CoRR, 2022)

Neural Transducer Training: Reduced Memory Consumption with Sample-Wise Computation. - Stefan Braun; Erik McDermott; Roger Hsiao (ICASSP, 2023)

Variable Attention Masking for Configurable Transformer Transducer Speech Recognition. - 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 (ICASSP, 2023)

Optimizing Byte-Level Representation For End-To-End ASR. - Roger Hsiao; Liuhui Deng; Erik McDermott; Ruchir Travadi; Xiaodan Zhuang (SLT, 2024)

Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition. - Zijin Gu; Tatiana Likhomanenko; He Bai 002; Erik McDermott; Ronan Collobert; Navdeep Jaitly (CoRR, 2024)

Focused Discriminative Training For Streaming CTC-Trained Automatic Speech Recognition Models. - Adnan Haider; Xingyu Na; Erik McDermott; Tim Ng; Zhen Huang 001; Xiaodan Zhuang (CoRR, 2024)

Delayed Fusion: Integrating Large Language Models into First-Pass Decoding in End-to-end Speech Recognition. - Takaaki Hori; Martin Kocour; Adnan Haider; Erik McDermott; Xiaodan Zhuang (ICASSP, 2025)