Author of the publication

Evaluation of Spectral Tilt Measures for Sentence Prominence Under Different Noise Conditions.

, , and . INTERSPEECH, page 3211-3215. ISCA, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations., , , , , and . NODALIDA, page 281-290. Linköping University Electronic Press, (2019)Prosodic Representations of Prominence Classification Neural Networks and Autoencoders Using Bottleneck Features., , , and . INTERSPEECH, page 1946-1950. ISCA, (2019)Statistical Unpredictability of F0 Trajectories as a Cue to Sentence Stress., and . CogSci, cognitivesciencesociety.org, (2014)Attention based temporal filtering of sensory signals for data redundancy reduction., , and . ICASSP, page 3188-3192. IEEE, (2013)Perception of sentence stress in English infant directed speech., and . INTERSPEECH, page 1821-1825. ISCA, (2014)Speech-Based Emotion Recognition with Self-Supervised Models Using Attentive Channel-Wise Correlations and Label Smoothing., , , and . ICASSP, page 1-5. IEEE, (2023)Does the Importance of Word-Initial and Word-Final Information Differ in Native versus Non-Native Spoken-Word Recognition?, , , and . INTERSPEECH, page 858-862. ISCA, (2016)Automatic detection of sentence prominence in speech using predictability of word-level acoustic features., and . INTERSPEECH, page 568-572. ISCA, (2015)Evaluation of Spectral Tilt Measures for Sentence Prominence Under Different Noise Conditions., , and . INTERSPEECH, page 3211-3215. ISCA, (2017)Extracting Speaker and Emotion Information from Self-Supervised Speech Models via Channel-Wise Correlations., , , , , and . SLT, page 1136-1143. IEEE, (2022)