Hagen Soltau

Interactive Systems Laboratories|University of Karlsruhe|Carnegie Mellon University

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Papers69 papers

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Monotonic Recurrent Neural Network Transducer and Decoding Strategies

Anshuman Tripathi, Han Lu,Hasim Sak,Hagen Soltau

ASRU, pp.944-948, (2019)

EIBibtex

Reducing the computational complexity for whole word models

Hagen Soltau, Hank Liao,Hasim Sak

ASRU, pp.63-68, (2017)

Cited by1EIBibtex

Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition

Hagen Soltau,Hank Liao,Hasim Sak

INTERSPEECH, (2017)

Cited by203EIBibtex

METHOD AND SYSTEM FOR EFFICIENT SPOKEN TERM DETECTION USING CONFUSION NETWORKS

Brian E D Kingsbury,Hongkwang Kuo,Lidia Mangu,Hagen Soltau

(2015)

Cited by8Bibtex

Deep Convolutional Neural Networks for Large-scale Speech Tasks

Tara N. Sainath,Brian Kingsbury,George Saon,Hagen Soltau,Abdel-rahman Mohamed,George E. Dahl,Bhuvana Ramabhadran

Neural Networks, (2015): 39-48

Cited by375EIWOSBibtex

DIALECT-SPECIFIC ACOUSTIC LANGUAGE MODELING AND SPEECH RECOGNITION

Fadi Biadsy,Lidia Mangu,Hagen Soltau

(2015)

Cited by10Bibtex

METHOD AND SYSTEM FOR JOINT TRAINING OF HYBRID NEURAL NETWORKS FOR ACOUSTIC MODELING IN AUTOMATIC SPEECH RECOGNITION

George Saon,Hagen Soltau

(2015)

Cited by13Bibtex

Out-of-vocabulary word detection in a speech-to-speech translation system

Hong-Kwang Kuo,Ellen Eide Kislal,Lidia Mangu,Hagen Soltau,Tomás Beran

ICASSP, pp.7108-7112, (2014)

Cited by6EIWOSBibtex

Removing redundancy from lattices

David Nolden,Hagen Soltau,Daniel Povey,Pegah Ghahremani,Lidia Mangu,Hermann Ney

INTERSPEECH, pp.656-660, (2014)

Cited by3EIBibtex

CLASSIFIER-BASED SYSTEM COMBINATION FOR SPOKEN TERM DETECTION

Brian E D Kingsbury,Hongkwang Jeff Kuo,Lidia Mangu,Hagen Soltau

(2014)

Cited by4Bibtex

Automatic Speech Recognition

Hagen Soltau,George Saon,Lidia Mangu,Hongkwang Kuo, Brian E Kingsbury,Stephen Chu,Fadi Biadsy

(2014)

Bibtex

Joint training of convolutional and non-convolutional neural networks

George Saon,Tara N Sainath,Hagen Soltau

international conference on acoustics speech and signal processing, (2014)

Cited by87Bibtex

Unfolded recurrent neural networks for speech recognition

George Saon,Hagen Soltau,Ahmad Emami,Michael Picheny

INTERSPEECH, pp.343-347, (2014)

Cited by43EIBibtex

Efficient spoken term detection using confusion networks

Lidia Mangu,Brian Kingsbury,Hagen Soltau,Hong-Kwang Kuo,Michael Picheny

ICASSP, pp.7844-7848, (2014)

Cited by25EIBibtex

Joint training of convolutional and non-convolutional neural networks

Hagen Soltau,George Saon,Tara N. Sainath

Acoustics, Speech and Signal Processing, pp.5572-5576, (2014)

Cited by87EIWOSBibtex

Analyzing convolutional neural networks for speech activity detection in mismatched acoustic conditions

Samuel Thomas,Sriram Ganapathy,George Saon,Hagen Soltau

Acoustics, Speech and Signal Processing, pp.2519-2523, (2014)

Cited by59EIWOSBibtex

Neural network acoustic models for the DARPA RATS program

Hagen Soltau,Hong-Kwang Kuo,Lidia Mangu,George Saon,Tomás Beran

INTERSPEECH, pp.3092-3096, (2013)

Cited by19EIBibtex

The IBM speech activity detection system for the DARPA RATS program

George Saon,Samuel Thomas,Hagen Soltau,Sriram Ganapathy,Brian Kingsbury

INTERSPEECH, pp.3497-3501, (2013)

Cited by42EIBibtex

Speaker adaptation of neural network acoustic models using i-vectors

George Saon,Hagen Soltau,David Nahamoo,Michael Picheny

Automatic Speech Recognition and Understanding, pp.55-59, (2013)

Cited by368EIWOSBibtex

Exploiting diversity for spoken term detection

Lidia Mangu,Hagen Soltau,Hong-Kwang Kuo,Brian Kingsbury,George Saon

ICASSP, pp.8282-8286, (2013)

Cited by65EIWOSBibtex

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