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COMBINING VOCAL TRACT LENGTH NORMALIZATION WITH HIERARCHIAL LINEAR TRANSFORMATIONS, , , and , in: Proceedings in International conference on Speech and Signal processing, Kyoto, Japan, pages 4493-4496, IEEE SPS (ICASSP), 2012 |
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Combining Vocal Tract Length Normalization with Hierarchical Linear Transformations, , , and , in: IEEE Journal of Selected Topics in Signal Processing - Special Issue on Statistical Parametric Speech Synthesis, 8(2):262 - 272, 2014 |
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Combining Vocal Tract Length Normalization with Linear Transformations in a Bayesian Framework, , , and , Idiap-RR-11-2012 |
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Combining Wavelet-domain Hidden Markov Trees with Hidden Markov Models, , and , Idiap-RR-14-1999 |
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CommonAccent: Exploring Large Acoustic Pretrained Models for Accent Classification Based on Common Voice, , , and , in: Proc. Interspeech 2023, 2023 |
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CommuniSense: Crowdsourcing Road Hazards in Nairobi, , , , , , and , in: Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services, Copenhagen, Denmark, pages 445-456, ACM, 2015 |
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Compacter: Efficient Low-Rank Hypercomplex Adapter Layers, , and , in: NeurIPS, 2021 |
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Comparative Study on Sentence Boundary Prediction for German and English Broadcast News, , , , and , Idiap-RR-18-2017 |
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Comparing Biosignal and Acoustic feature Representation for Continuous Emotion Recognition, , , , and , in: International Multimodal Sentiment Analysis Workshop and Challenge, 2022 |
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Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model, , and , Idiap-RR-04-2021 |
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Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model, , and , in: Proceedings of Interspeech, 2021 |
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COMPARING DATA-DRIVEN AND HANDCRAFTED FEATURES FOR DIMENSIONAL EMOTION RECOGNITION, , and , in: International Conference on Acoustics, Speech and Signal Processing, 2024 |
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Comparing different acoustic modeling techniques for multilingual boosting, , , , and , in: Proceedings of Interspeech, Portland, Oregon, 2012 |
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Comparing different acoustic modeling techniques for multilingual boosting, , , , and , Idiap-RR-01-2013 |
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Comparing Different Word Lattice Rescoring Approaches Towards Keyword Spotting, , , and , Idiap-RR-32-2007 |
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Comparing machines and humans on a visual categorization test, , , , , and , in: Proceedings of the National Academy of Sciences, 2011 |
Comparing meeting browsers using a task-based evaluation method, , Idiap-RR-11-2009 |
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Comparing Stability and Discriminatory Power of Hand-crafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study, , , , , , , , , , and , in: Proceedings of the 12th European Workshop on Visual Information Processing, 2024 |
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Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track, , , and , in: Proceedings of the ICML Expressive Vocalizations Workshop held in conjunction with the 39th International Conference on Machine Learning, Maryland, USA, 2022 |
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Comparing Two Strategies for Query Expansion in a News Monitoring System, and , in: Natural Language Processing and Information Systems: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, pages 267-275, Springer-Verlag, 2016 |
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Comparison and Combination of Features in a Hybrid HMM/MLP and a HMM/GMM Speech Recognition System, , , , and , in: to be published in IEEE Transactions on Speech and Audio Processing(48), 2003 |
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Comparison and Combination of Features in a Hybrid HMM/MLP and a HMM/GMM Speech Recognition System, , , , and , Idiap-RR-48-2003 |
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Comparison of 5 methods for the evaluation of intelligibility in mild to moderate French dysarthric speech, , , , , , , , , and , in: Annual Conference of the International Speech Communication Association, pages 2188-2192, 2022 |
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Comparison of Client Model Adaptation Schemes, and , Idiap-RR-25-2001 |
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Comparison of different feature classifiers for brain computer interfaces, , , , , , , , and , in: Proceedings of the 1st International IEEE EMBS Conference on Neural Engineering, 2003 |
Comparison of HMM experts with MLP experts in the Full Combination Multi-Band Approach to Robust ASR, and , in: ICSLP, 2000 |
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Comparison of HMM experts with MLP experts in the Full Combination Multi-Band Approach to Robust ASR, and , Idiap-RR-21-2000 |
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Comparison of MLP and GMM Classifiers for Face Verification on XM2VTS, , and , in: 4th International Conference on AUDIO- and VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, 2003 |
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Comparison of MLP and GMM Classifiers for Face Verification on XM2VTS, , and , Idiap-RR-10-2003 |
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Comparison of Subword Segmentation Methods for Open-vocabulary ASR using a Difficulty Metric, , , and |
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COMPARISON OF SUBWORD SEGMENTATION METHODS FOR OPEN-VOCABULARYEND-TO-END SPEECH RECOGNITION, , , and , Idiap-RR-34-2020 |
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Comparison of Support Vector Machine and Neural Network for Text Texture Verification, and , Idiap-RR-19-2002 |
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Comparison of Two Methods for Unsupervised Person Identification in TV Shows, , , , and , in: 12th International Workshop on Content-Based Multimedia Indexing, 2014 |
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Comparison of Unsupervised and Supervised Training of RBF Neural Networks. Case Study: Mapping of Contamination Data, and , in: Neural Computation 2000, 2000 |
Compensating User-Specific Information with User-Independent Information in Biometric Authentication Tasks, and , Idiap-RR-44-2005 |
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Competition on Counter Measures to 2-D Facial Spoofing Attacks, , , , , , , , , , , , , , , , , , , , , , , and , in: Proceedings of IAPR IEEE International Joint Conference on Biometrics (IJCB), Washington DC, USA, 2011 |
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Competitive Neural Layer-based Method to Identify People with High Risk for Diabetic Foot, , , , , and , in: Computers in Biology and Medicine, 120, 2020 |
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Complementary Countermeasures for Detecting Scenic Face Spoofing Attacks, , , , and , in: International Conference on Biometrics, Madrid, Spain, 2013 |
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Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK, , , , , , , , , , , , , , , , , , , , , and , in: Proceedings of the 2023 ACM CHI Conference on Human Factors in Computing Systems (CHI), Association for Computing Machinery, 2023 |
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Complexity reduction of eigenvalue decomposition-based diffuse power spectral density estimators using the power method, , and , in: Proc. International Conference on Acoustics, Speech, and Signal Processing, Calgary, Canada, pages 451-455, 2018 |
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Composite Kernel Learning, , and , in: Proceedings of the 25th Annual International Conference on Machine Learning (ICML 2008), Omnipress, 2008 |
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Composite Kernel Learning, , and , Idiap-RR-59-2008 |
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Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding, , , and , Idiap-RR-11-2016 |
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Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding, , , and , in: IEEE/ACM Trans. on Audio, Speech and Language Processing, 2016 |
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Compositionality in English deverbal compounds:The role of the head, , and , in: The role of constituents in multiword expressions. Phraseology and Multiword Expressions, Language Science Press, Berlin, 2020 |
Compound or phrase or in between? Testing Linguistic Criteria for Compoundhood in English, and , in: Word Structure, 13(2):250-281, 2020 |
Comprehensive Vulnerability Evaluation of Face Recognition Systems to Template Inversion Attacks Via 3D Face Reconstruction, and , in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(12):14248-14265, 2023 |
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Computational Analysis Of Behavior In Employment Interviews And Video Resumes, , École Polytechnique Fédérale de Lausanne, 2015 |
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