D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 66 Citations 19,383 204 World Ranking 1084 National Ranking 639

Research.com Recognitions

Awards & Achievements

2009 - ACM Senior Member

1999 - IEEE Fellow For contributions to the processing and recognition of brain and speech signals.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Speech recognition
  • Statistics

His scientific interests lie mostly in Speech recognition, Artificial intelligence, Speech processing, Natural language processing and Hidden Markov model. In his articles, he combines various disciplines, including Speech recognition and Field. Nelson Morgan interconnects Machine learning, Decoding methods, Phone and Pattern recognition in the investigation of issues within Artificial intelligence.

His work carried out in the field of Pattern recognition brings together such families of science as Estimation theory and Perceptron. The concepts of his Speech processing study are interwoven with issues in Syllable and Reverberation. The various areas that Nelson Morgan examines in his Hidden Markov model study include Artificial neural network, Connectionism and Multilayer perceptron.

His most cited work include:

  • RASTA processing of speech (1666 citations)
  • Connectionist Speech Recognition: A Hybrid Approach (1040 citations)
  • The ICSI Meeting Corpus (564 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Speech recognition, Artificial intelligence, Pattern recognition, Hidden Markov model and Artificial neural network. His Speech recognition study frequently draws connections between related disciplines such as Feature extraction. His Artificial intelligence research includes elements of Machine learning, Vocabulary and Natural language processing.

His Pattern recognition study integrates concerns from other disciplines, such as Feature, Filter and Robustness. His Hidden Markov model research integrates issues from Context, Posterior probability, Markov model and Multilayer perceptron. His study on Voice activity detection is often connected to Language technology as part of broader study in Speech processing.

He most often published in these fields:

  • Speech recognition (71.02%)
  • Artificial intelligence (54.42%)
  • Pattern recognition (25.09%)

What were the highlights of his more recent work (between 2007-2019)?

  • Speech recognition (71.02%)
  • Artificial intelligence (54.42%)
  • Pattern recognition (25.09%)

In recent papers he was focusing on the following fields of study:

Nelson Morgan focuses on Speech recognition, Artificial intelligence, Pattern recognition, Speech processing and Natural language processing. His studies link Modulation with Artificial intelligence. The concepts of his Pattern recognition study are interwoven with issues in Feature, Noise and Multilayer perceptron.

His Voice activity detection study in the realm of Speech processing interacts with subjects such as Language technology and Field. His Natural language processing research incorporates elements of Arabic and Speech synthesis. His work deals with themes such as Layer and Filter, which intersect with Artificial neural network.

Between 2007 and 2019, his most popular works were:

  • A view of the parallel computing landscape (485 citations)
  • Developments and directions in speech recognition and understanding, Part 1 [DSP Education] (208 citations)
  • Deep and Wide: Multiple Layers in Automatic Speech Recognition (97 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Speech recognition
  • Statistics

Nelson Morgan spends much of his time researching Speech recognition, Artificial intelligence, Pattern recognition, Speech processing and Mel-frequency cepstrum. His Speech recognition study which covers Word that intersects with Decoding methods. His studies in Artificial intelligence integrate themes in fields like Vocabulary and Noise.

His research integrates issues of Voice activity detection, Feature and Robustness in his study of Pattern recognition. His Speech processing study combines topics in areas such as Speech perception, Psychoacoustics and Cocktail party. His Mel-frequency cepstrum research focuses on Weighting and how it connects with Normalization.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

RASTA processing of speech

H. Hermansky;N. Morgan.
IEEE Transactions on Speech and Audio Processing (1994)

2700 Citations

Connectionist Speech Recognition: A Hybrid Approach

Herve A. Bourlard;Nelson Morgan.
(1993)

1647 Citations

Speech and Audio Signal Processing: Processing and Perception of Speech and Music

Ben Gold;Nelson Morgan;Dan Ellis.
(1999)

1232 Citations

Speech and Audio Signal Processing

Ben Gold;Dan Ellis;Ben Gold And Nelson Morgan;Nelson Morgan.
(1999)

911 Citations

A view of the parallel computing landscape

Krste Asanovic;Rastislav Bodik;James Demmel;Tony Keaveny.
parallel computing (2009)

783 Citations

The ICSI Meeting Corpus

A. Janin;D. Baron;J. Edwards;D. Ellis.
international conference on acoustics, speech, and signal processing (2003)

668 Citations

RASTA-PLP speech analysis technique

H. Hermansky;N. Morgan;A. Bayya;P. Kohn.
international conference on acoustics, speech, and signal processing (1992)

484 Citations

Recognition of speech in additive and convolutional noise based on RASTA spectral processing

H. Hermansky;N. Morgan;H.-G. Hirsch.
international conference on acoustics, speech, and signal processing (1993)

371 Citations

Connectionist probability estimators in HMM speech recognition

S. Renals;N. Morgan;H. Bourlard;M. Cohen.
IEEE Transactions on Speech and Audio Processing (1994)

357 Citations

Generalization and Parameter Estimation in Feedforward Nets: Some Experiments

N. Morgan;H. Bourlard.
neural information processing systems (1989)

324 Citations

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