D-Index & Metrics Best Publications

Florian Metze

Carnegie Mellon University
United States

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 40 Citations 6,803 277 World Ranking 5811 National Ranking 2806

Overview

What is he best known for?

The fields of study Florian Metze is best known for:

Speech recognition
Vowel
Natural language processing

Deep neural networks, Recurrent neural network and Connectionism are the areas that his Artificial neural network study falls under. His research links Speech processing with Artificial intelligence. He combines Speech processing and Acoustic model in his research. His Natural language processing study often links to related topics such as Spoken language. Florian Metze carries out multidisciplinary research, doing studies in Speech recognition and Language model. Language model and Acoustic model are two areas of study in which he engages in interdisciplinary work. His study on Linguistics is mostly dedicated to connecting different topics, such as Word (group theory). Florian Metze merges World Wide Web with Information retrieval in his study. In his papers, Florian Metze integrates diverse fields, such as Information retrieval and Natural language processing.

His most cited work include:

Anger recognition in speech using acoustic and linguistic cues (85 citations)
Speaker Adaptive Training of Deep Neural Network Acoustic Models Using I-Vectors (82 citations)
EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding (73 citations)

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

His Speech recognition research is linked to Word error rate, Language model and Hidden Markov model. Hidden Markov model and Speech recognition are two areas of study in which he engages in interdisciplinary research. Florian Metze connects relevant research areas such as Automatic summarization, Language model, Machine translation and Word error rate in the realm of Natural language processing. In the subject of Linguistics, he integrates adjacent scientific disciplines such as Word (group theory), Vocabulary and Feature (linguistics). Feature (linguistics) and Linguistics are commonly linked in his work. In his works, Florian Metze performs multidisciplinary study on Artificial intelligence and Machine learning. In his articles, Florian Metze combines various disciplines, including Machine learning and Artificial intelligence. His study on Task (project management) is mostly dedicated to connecting different topics, such as Management. His work on Task (project management) expands to the thematically related Management.

Florian Metze most often published in these fields:

Artificial intelligence (86.67%)
Speech recognition (66.67%)
Natural language processing (63.33%)

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

EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding

Yajie Miao;Mohammad Gowayyed;Florian Metze.
ieee automatic speech recognition and understanding workshop (2015)

550 Citations

Extracting deep bottleneck features using stacked auto-encoders

Jonas Gehring;Yajie Miao;Florian Metze;Alex Waibel.
international conference on acoustics, speech, and signal processing (2013)

320 Citations

A one-pass decoder based on polymorphic linguistic context assignment

H. Soltau;F. Metze;C. Fugen;A. Waibel.
ieee automatic speech recognition and understanding workshop (2001)

257 Citations

Comparison of Four Approaches to Age and Gender Recognition for Telephone Applications

F. Metze;J. Ajmera;R. Englert;U. Bub.
international conference on acoustics, speech, and signal processing (2007)

180 Citations

Advances in automatic meeting record creation and access

A. Waibel;M. Bett;F. Metze;K. Ries.
international conference on acoustics, speech, and signal processing (2001)

180 Citations

Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieval

Niluthpol Chowdhury Mithun;Juncheng Li;Florian Metze;Amit K. Roy-Chowdhury.
international conference on multimedia retrieval (2018)

157 Citations

Session independent non-audible speech recognition using surface electromyography

L. Maier-Hein;F. Metze;T. Schultz;A. Waibel.
ieee automatic speech recognition and understanding workshop (2005)

155 Citations

How2: A Large-scale Dataset for Multimodal Language Understanding

Ramon Sanabria;Ozan Caglayan;Shruti Palaskar;Desmond Elliott.
(2018)

130 Citations

A comparison of Deep Learning methods for environmental sound detection

Juncheng Li;Wei Dai;Florian Metze;Shuhui Qu.
international conference on acoustics, speech, and signal processing (2017)

125 Citations

Speaker adaptive training of deep neural network acoustic models using i-vectors

Yajie Miao;Hao Zhang;Florian Metze.
IEEE Transactions on Audio, Speech, and Language Processing (2015)

116 Citations

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Florian Metze

D-Index & Metrics 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.

Overview

What is he best known for?

The fields of study Florian Metze is best known for:

His most cited work include:

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

Florian Metze most often published in these fields:

Best Publications

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