Z. Tufekci

A Review on Deep Learning Architectures for Speech Recognition

Yesim Dokuz, Z. Tufekci, 2020 .

Investigation of the Effect of LSTM Hyperparameters on Speech Recognition Performance

Yesim Dokuz, Z. Tufekci, 2020 .

A NEW AUDIO-VISUAL

J. Gowdy, Z. Tufekci, E. Patterson, 2002 .

Applied mel-frequency discrete wavelet coefficients and parallel model compensation for noise-robust speech recognition

Sabri Gurbuz, Zekeriya Tufekci, John N. Gowdy, 2006, Speech Commun..

Mel-scaled discrete wavelet coefficients for speech recognition

Zekeriya Tufekci, John N. Gowdy, J. Gowdy, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Music emotion recognition using convolutional long short term memory deep neural networks

Zekeriya Tufekci, Serdar Yildirim, Serhat Hizlisoy, 2020 .

CUAVE: A new audio-visual database for multimodal human-computer interface research

J.N. Gowdy, S. Gurbuz, E.K. Patterson, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Moving-Talker, Speaker-Independent Feature Study, and Baseline Results Using the CUAVE Multimodal Speech Corpus

Sabri Gurbuz, Zekeriya Tufekci, John N. Gowdy, 2002, EURASIP J. Adv. Signal Process..

Mini-batch sample selection strategies for deep learning based speech recognition

Zekeriya Tufekci, Yeşim Dokuz, Z. Tufekci, 2021 .

Local feature extraction for robust speech recognition in the presence of noise

Zekeriya Tufekci, John N. Gowdy, J. Gowdy, 2001 .