D. Nahamoo - Concepedia

Author

D. Nahamoo

IBM Research - Thomas J. Watson Research Center

Also Known As

D Nahamoo, D. Nahamoo, David Nahamoo, Nahamoo, David

103

Publications

3.2K

Citations

H-Index

115

Concepts

All Affiliations

IBM Research - Thomas J. Watson Research Center IBM (United States)Purdue University West Lafayette

About

D. Nahamoo is an author at IBM Research - Thomas J. Watson Research Center specializing in engineering, speech recognition, and speech processing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	28	53	3K
2	Health Sciences	18	26	1.7K
3	Language Studies	15	19	852
4	Natural Sciences	1	1	19
5	Biostatistics	1	1	29

D. Nahamoo

Publications

3.1K

Citations

H-Index

Page 1

	Year	Citations
Speaker adaptation of neural network acoustic models using i-vectors George Saon, Hagen Soltau, D. Nahamoo, EngineeringMachine LearningRegular Acoustic FeaturesSpeech RecognitionRobust Speech Recognition	2013	605
An inequality for rational functions with applications to some statistical estimation problems P.S. Gopalakrishnan, Dimitri Kanevsky, Arthur Nádas, IEEE Transactions on Information Theory Statistical Estimation ProblemsEngineeringHomogeneous PolynomialsGeneral Rational FunctionBaum-eagon Inequality	1991	198
Speech recognition using noise-adaptive prototypes Arthur Nádas, D. Nahamoo, Michael Picheny IEEE Transactions on Acoustics Speech and Signal Processing EngineeringSpeech RecognitionFrequency BandProbabilistic Mixture ModeData Science	1989	179
Tied mixture continuous parameter modeling for speech recognition J.R. Bellegarda, D. Nahamoo IEEE Transactions on Acoustics Speech and Signal Processing Vector QuantizationEngineeringMachine LearningSpoken Language ProcessingSpeech Recognition	1990	156
Direct Acoustics-to-Word Models for English Conversational Speech Recognition Kartik Audhkhasi, Bhuvana Ramabhadran, George Saon, EngineeringPhone Ctc ModelsSpoken Language ProcessingSpeech RecognitionNatural Language Processing	2017	114
Decision trees for phonological rules in continuous speech L.R. Bahl, P.V. deSouza, P.S. Gopalakrishnan, EngineeringSpeech CorpusPhonological VariationSpoken Language ProcessingPhonology	1991	109
Experiments with the Tangora 20,000 word speech recognizer Amir Averbuch, L.R. Bahl, R. Bakis, EngineeringInteractive PersonalizationSpoken Language ProcessingCorpus LinguisticsSpeech Recognition	2005	88
On a model-robust training method for speech recognition Arthur Nádas, D. Nahamoo, Michael Picheny IEEE Transactions on Acoustics Speech and Signal Processing EngineeringMachine LearningConditional ProbabilityIterative DecodingSpoken Language Processing	1988	80
Speaker clustering and transformation for speaker adaptation in speech recognition systems M. Padmanabhan, L.R. Bahl, D. Nahamoo, IEEE Transactions on Speech and Audio Processing EngineeringMachine LearningSpoken Language ProcessingPhonologyCorpus Linguistics	1998	77
Robust methods for using context-dependent features and models in a continuous speech recognizer L.R. Bahl, P.V. de Souza, P.S. Gopalakrishnan, Vector QuantizationEngineeringMachine LearningRecognition SystemSpoken Language Processing	2002	75

Page 1