Ralf Schlüter

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 45 Citations 9,875 235 World Ranking 4549 National Ranking 204

LSTM Neural Networks for Language Modeling.

Martin Sundermeyer;Ralf Schlüter;Hermann Ney.
conference of the international speech communication association (2012)

1984 Citations

Confidence measures for large vocabulary continuous speech recognition

F. Wessel;R. Schluter;K. Macherey;H. Ney.
IEEE Transactions on Speech and Audio Processing (2001)

658 Citations

From feedforward to recurrent LSTM neural networks for language modeling

Martin Sundermeyer;Hermann Ney;Ralf Schlüter.
IEEE Transactions on Audio, Speech, and Language Processing (2015)

470 Citations

Computing Mel-frequency cepstral coefficients on the power spectrum

S. Molau;M. Pitz;R. Schluter;H. Ney.
international conference on acoustics, speech, and signal processing (2001)

351 Citations

Vocal tract normalization equals linear transformation in cepstral space.

Michael Pitz;Sirko Molau;Ralf Schlüter;Hermann Ney.
conference of the international speech communication association (2001)

265 Citations

Improved Training of End-to-end Attention Models for Speech Recognition

Albert Zeyer;Kazuki Irie;Ralf Schlüter;Hermann Ney.
conference of the international speech communication association (2018)

234 Citations

Acoustic modeling with deep neural networks using raw time signal for LVCSR.

Zoltán Tüske;Pavel Golik;Ralf Schlüter;Hermann Ney.
conference of the international speech communication association (2014)

203 Citations

RWTH ASR Systems for LibriSpeech: Hybrid vs Attention.

Christoph Lüscher;Eugen Beck;Kazuki Irie;Markus Kitza.
conference of the international speech communication association (2019)

197 Citations

Gammatone Features and Feature Combination for Large Vocabulary Speech Recognition

R. Schluter;L. Bezrukov;H. Wagner;H. Ney.
international conference on acoustics, speech, and signal processing (2007)

183 Citations

Using phase spectrum information for improved speech recognition performance

R. Schluter;H. Ney.
international conference on acoustics, speech, and signal processing (2001)

183 Citations

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