P. Moreno

发表

Frame-by-frame language identification in short utterances using deep neural networks

Joaquín González-Rodríguez, Pedro J. Moreno, Javier Gonzalez-Dominguez, 2015, Neural Networks.

A Family of Probabilistic Kernels Based on Information Divergence

Antoni B. Chan, P. Moreno, N. Vasconcelos, 2004 .

Audiovisual celebrity recognition in unconstrained web videos

Ming Zhao, Hrishikesh B. Aradhye, Pedro J. Moreno, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Topic segmentation with an aspect hidden Markov model

David M. Blei, Pedro J. Moreno, D. Blei, 2001, SIGIR '01.

Using the Fisher kernel method for Web audio classification

Pedro J. Moreno, Ryan Rifkin, R. Rifkin, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications

Nuno Vasconcelos, Pedro J. Moreno, Purdy Ho, 2003, NIPS.

On the use of support vector machines for phonetic classification

Pedro J. Moreno, Philip Clarkson, P. Moreno, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Supervised Learning of Semantic Classes for Image Annotation and Retrieval

Gustavo Carneiro, Nuno Vasconcelos, Antoni B. Chan, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Bridging the Gap: Query by Semantic Example

Nuno Vasconcelos, Nikhil Rasiwasia, Pedro J. Moreno, 2007, IEEE Transactions on Multimedia.

Automatic language identification using long short-term memory recurrent neural networks

Joaquín González-Rodríguez, Pedro J. Moreno, Hasim Sak, 2014, INTERSPEECH.

An experimental study of an audio indexing system for the web

Beth Logan, Edward W. D. Whittaker, Pedro J. Moreno, 2000, INTERSPEECH.

Semantic analysis of song lyrics

Beth Logan, Pedro J. Moreno, A. Kositsky, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

ADAPTATION AND COMPENSATION : APPROACHES TO MICR OPHONE AND SPEAKER INDEPENDENCE IN AUTOMATIC SPEECH RECOGNITION

P. Moreno, B. Raj, R. Stern, 1996 .

A BoostingApproachfor ConfidenceScoring

P. Moreno, 2001 .

A Boosting Appr oach for Confidence Scoring

P. Moreno, B. Raj, B. Logan, 2001 .

Multivariate-Gaussian-based cepstral normalization for robust speech recognition

Evandro B. Gouvêa, Richard M. Stern, Bhiksha Raj, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

APPROACHES TO ENVIRONMENT COMPENSATION IN AUTOMATIC SPEECH RECOGNITION

P. Moreno, B. Raj, R. Stern, 1995 .

Towards acoustic model unification across dialects

Pedro J. Moreno, Mohamed Elfeky, Austin Waters, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

SVM kernel adaptation in speaker classification and verification

Pedro J. Moreno, Purdy Ho, P. Moreno, 2004, INTERSPEECH.

APPROACHES TO MICROPHONE INDEPENDENCE IN AUTOMATIC SPEECH RECOGNITION

P. Moreno, B. Raj, R. Stern, 2003 .

MAESTRO: Matched Speech Text Representations through Modality Matching

H. Zen, B. Ramabhadran, P. Moreno, 2022, INTERSPEECH.

A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization

P. Moreno, Fadi Biadsy, A. Rosenberg, 2022, INTERSPEECH.

A Boosting Approach for Conﬁdence Scoring

P. Moreno, B. Raj, B. Logan, 2021 .

G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR

Quoc V. Le, Ron J. Weiss, B. Ramabhadran, 2022, ArXiv.

Modular Hybrid Autoregressive Transducer

B. Ramabhadran, P. Moreno, Rohit Prabhavalkar, 2022, ArXiv.

INVITED PAPERS / MULTIPLE APPROACHES TO ROBUST SPEECH RECOGNITION

Richard M. Stern, Thomas M. Sullivan, Pedro J. Moreno, 1994 .

A Study of Musical Instrument Classification Using Gaussian Mixture Models and Support Vector Machines

Pedro J. Moreno, Janet Marques, P. Moreno, 1999 .

Speech Research at Google to Enable Universal Speech Interfaces

Heiga Zen, Johan Schalkwyk, Michiel Bacchiani, 2017, New Era for Robust Speech Recognition, Exploiting Deep Learning.

A big data approach to acoustic model training corpus selection

Olivier Siohan, Pedro J. Moreno, Eugene Weinstein, 2014, INTERSPEECH.

Search by voice in Mandarin Chinese

Jiulong Shan, Martin Jansche, Pedro J. Moreno, 2010, INTERSPEECH.

Building transcribed speech corpora quickly and cheaply for many languages

Thad Hughes, Pedro J. Moreno, Linne Ha, 2010, INTERSPEECH.

Asynchronous stochastic optimization for sequence training of deep neural networks

Georg Heigold, Michiel Bacchiani, Erik McDermott, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the use of deep feedforward neural networks for automatic language identification

Joaquín González-Rodríguez, Pedro J. Moreno, Javier Gonzalez-Dominguez, 2016, Comput. Speech Lang..

Data-driven environmental compensation for speech recognition: A unified approach

Richard M. Stern, Bhiksha Raj, Pedro J. Moreno, 1998, Speech Commun..

Speech recognition in noisy environments

Pedro J. Moreno, P. Moreno, 1996 .

Signal Processing for Robust Speech Recognition

Richard M. Stern, Alex Acero, Pedro J. Moreno, 1994, HLT.

Approaches to reduce the effects of OOV queries on indexed spoken audio

Beth Logan, Pedro J. Moreno, Jean-Manuel Van Thong, 2005, IEEE Transactions on Multimedia.

A boosting approach for confidence scoring

Bhiksha Raj, Beth Logan, Pedro J. Moreno, 2001, INTERSPEECH.

Discriminative Topic Segmentation of Text and Speech

Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein, 2010, AISTATS.

Environment normalization for robust speech recognition using direct cepstral comparison

Richard M. Stern, Alex Acero, Pedro J. Moreno, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

A vector Taylor series approach for environment-independent speech recognition

Richard M. Stern, Bhiksha Raj, Pedro J. Moreno, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Transliteration Based Approaches to Improve Code-Switched Speech Recognition Performance

Bhuvana Ramabhadran, Jesse Emond, Brian Roark, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

A Real-Time End-to-End Multilingual Speech Recognition Architecture

Pedro J. Moreno, Andrew W. Senior, Javier Gonzalez-Dominguez, 2015, IEEE Journal of Selected Topics in Signal Processing.

Automatic language identification using deep neural networks

Joaquín González-Rodríguez, David Martinez, Pedro J. Moreno, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Tara N. Sainath, Yonghui Wu, H. Soltau, 2023, ArXiv.

Leveraging Language ID in Multilingual End-to-End Speech Recognition

Parisa Haghani, Austin Waters, Zhongdi Qu, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Multilingual Speech Recognition with a Single End-to-End Model

Tara N. Sainath, Ron J. Weiss, Bo Li, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Injecting Text in Self-Supervised Speech Pretraining pdf

Bhuvana Ramabhadran, Andrew Rosenberg, Zhehuai Chen, 2021, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Efficient grammar processing for a spoken language translation system

Richard Sproat, Pedro J. Moreno, Alejandro Macarrón Larumbe, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

From Audio to Semantics: Approaches to End-to-End Spoken Language Understanding

Arun Narayanan, Galen Chuang, Michiel Bacchiani, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Bringing contextual information to google speech recognition

Brian Roark, Cyril Allauzen, Keith B. Hall, 2015, INTERSPEECH.

Speech Recognition with Augmented Synthesized Speech

Bhuvana Ramabhadran, Ye Jia, Yu Zhang, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Maestro-U: Leveraging Joint Speech-Text Representation Learning for Zero Supervised Speech ASR

B. Ramabhadran, P. Moreno, Ankur Bapna, 2022, 2022 IEEE Spoken Language Technology Workshop (SLT).

Improving Speech Recognition Using Consistent Predictions on Synthesized Speech

Bhuvana Ramabhadran, Yu Zhang, Pedro J. Moreno, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Parrotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation pdf

Fadi Biadsy, Ye Jia, Ron J. Weiss, 2019, INTERSPEECH.

Tts4pretrain 2.0: Advancing the use of Text and Speech in ASR Pretraining with Consistency and Contrastive Losses

B. Ramabhadran, P. Moreno, Yu Zhang, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Semi-Supervision in ASR: Sequential MixMatch and Factorized TTS-Based Augmentation

H. Zen, B. Ramabhadran, P. Moreno, 2021, Interspeech.

Multilingual Speech Recognition with Self-Attention Structured Parameterization

Bhuvana Ramabhadran, Qian Zhang, Han Lu, 2020, INTERSPEECH.

Indexing Multimedia for the Internet

Michael J. Swain, Leonidas I. Kontothanassis, Pedro J. Moreno, 1999, VISUAL.

Semantic Lattice Processing in Contextual Automatic Speech Recognition for Google Assistant

Michael Riley, Ian Williams, Pedro J. Moreno, 2018, INTERSPEECH.

A recursive algorithm for the forced alignment of very long audio segments

Pedro J. Moreno, Jean-Manuel Van Thong, Oren Glickman, 1998, ICSLP.

Conformer Parrotron: A Faster and Stronger End-to-End Speech Conversion and Recognition Model for Atypical Speech

Bhuvana Ramabhadran, Fadi Biadsy, Pedro J. Moreno, 2021, Interspeech.

Modular Hybrid Autoregressive Transducer

B. Ramabhadran, P. Moreno, Rohit Prabhavalkar, 2022, 2022 IEEE Spoken Language Technology Workshop (SLT).

Improved recognition of contact names in voice commands

Cyril Allauzen, Pedro J. Moreno, Petar S. Aleksic, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Neural Oracle Search on N-BEST Hypotheses

Bhuvana Ramabhadran, Pedro J. Moreno, Ehsan Variani, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Query by Semantic Example

Nuno Vasconcelos, Nikhil Rasiwasia, Pedro J. Moreno, 2006, CIVR.

Voice search for development

Johan Schalkwyk, Etienne Barnard, Pedro J. Moreno, 2010, INTERSPEECH.

Multi-Dialectical Languages Effect on Speech Recognition: Too Much Choice Can Hurt

Pedro J. Moreno, Mohamed G. Elfeky, Victor Soto, 2015, ICNLSP.

The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition

Nuno Vasconcelos, Pedro J. Moreno, Purdy Ho, 2004, ECCV.

Improving Speech Recognition Using GAN-Based Speech Synthesis and Contrastive Unspoken Text Selection

Bhuvana Ramabhadran, Andrew Rosenberg, Pedro J. Moreno, 2020, INTERSPEECH.

Sources of degradation of speech recognition in the telephone network

Richard M. Stern, Pedro J. Moreno, P. Moreno, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Google's cross-dialect Arabic voice search

Fadi Biadsy, Martin Jansche, Pedro J. Moreno, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

General suffix automaton construction algorithm and space bounds

Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein, 2009, Theor. Comput. Sci..

Factor Automata of Automata and Applications

Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein, 2007, CIAA.

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Tara N. Sainath, Yonghui Wu, H. Soltau, 2023, ArXiv.

An Experimental Study of EM-Based Algorithms for Semi-Supervised Learning in Audio Classification

Shivani Agarwal, Pedro J. Moreno, P. Moreno, 2003 .