A spectral/temporal method for robust fundamental frequency tracking von Zahorian, Stephen A., Hu, Hongbing

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Towards an Automatic Speech-Based Diagnostic Test for Alzheimer’s Disease von Sadeghian, Roozbeh, Schaffer, J. David, Zahorian, Stephen A.

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Dual transmission model and related spectral content of the fetal heart sounds von Zahorian, Stephen A, Zuckerwar, Allan J, Karnjanadecha, Montri

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Speech enhancement and speaker verification with convolutional neural networks von Guzewich, Peter, Zahorian, Stephen

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Parametric forms of spectral amplitude nonlinearities for use in automatic speech recognition von Zahorian, Stephen

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Dimensionality reduction methods for HMM phonetic recognition von Hongbing Hu, Zahorian, Stephen A

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Towards automated dementia diagnosis based upon speech von Sadeghian, Roozbeh, Schaffer, J. D., Zahorian, Stephen

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TOWARD AN AUTOMATIC SPEECH-BASED DIAGNOSTIC TEST FOR ALZHEIMER’S DISEASE von Schaffer, David, Sadeghian, Roozbeh, Zahorian, Stephen A.

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TD‐P‐020: TOWARD AN AUTOMATIC SPEECH‐BASED DIAGNOSTIC TEST FOR ALZHEIMER'S DISEASE von Schaffer, David, Sadeghian, Roozbeh, Zahorian, Stephen A.

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An experimental comparison of fundamental frequency tracking algorithms von Hu, Hongbing, Zahorian, Stephen

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Algorithms for measuring periodicity in F0 tracking von Chen, Xiao, Zhang, Hao, Zahorian, Stephen A.

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The relative importance of static versus spectral change acoustic features for automatic speaker identification von Zahorian, Stephen, Guzewich, Peter, Chen, Xiao, Sadeghian, Roozbeh, Zhang, Hao

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Spectral amplitude nonlinearities for improved noise robustness of spectral features for use in automatic speech recognition von Zahorian, Stephen, Wong, Brian

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On the use of respiratory masks for speech measurements von Zhang, Hao, Chen, Xiao, Zahorian, Stephen

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Spectral-shape features versus formants as acoustic correlates for vowels von ZAHORIAN, S. A, AMIR JALALI JAGHARGHI

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A further comparison of fundamental frequency tracking algorithms von Hu, Hongbing, Guzewich, Peter, Zahorian, Stephen

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Using automatic speech recognition to identify dementia in early stages von Sadeghian, Roozbeh, Schaffer, David J., Zahorian, Stephen A.

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An automatic method for determining phonetic boundary for continuous speech utterances in an open source multi-language audio/video database von Karnjanadecha, Montri, Zahorian, Stephen A.

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Using automatic speech recognition to identify pediatric speech errors von Sadeghian, Roozbeh, Ratnagiri, Madhavi, Zahorian, Stephen A., Bunnell, H. Timothy

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Tone recognition in continuous Mandarin Chinese von Wu, Jiang, Zahorian, Stephen A., Hu, Hongbing

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