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Prediction of Dialogue Success with Spectral and Rhythm Acoustic Features Using DNNS and SVMS.

, , , и . SLT, стр. 838-845. IEEE, (2018)

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Margarita Rinnert

TFF-Peptide im menschlichen Urogenitaltrakt. Uni Magdeburg, (2009)

Günter Kötting

Richard Kötting

Tilo Köttig

Georg Kottirsch

 

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Systematic comparison of BIC-based speaker segmentation systems., , , и . MMSP, стр. 66-69. IEEE, (2007)Predicting dialogue success, naturalness, and length with acoustic features., , и . ICASSP, стр. 5010-5014. IEEE, (2017)Speaker segmentation and clustering., , и . Signal Process., 88 (5): 1091-1124 (2008)Speaker-independent negative emotion recognition., , и . CIP, стр. 417-422. IEEE, (2010)Musical Instrument Classification using Non-Negative Matrix Factorization Algorithms and Subset Feature Selection., , и . ICASSP (5), стр. 221-224. IEEE, (2006)Efficient binary classification through energy minimisation of slack variables., и . Neurocomputing, (2015)Open-domain Topic Identification of Out-of-domain Utterances using Wikipedia., , , , , и . CoRR, (2021)A Case Study on the Importance of Belief State Representation for Dialogue Policy Management., , , , и . INTERSPEECH, стр. 986-990. ISCA, (2018)Crowd-Sourced Collection of Task-Oriented Human-Human Dialogues in a Multi-domain Scenario., , , , и . TSD, том 11697 из Lecture Notes in Computer Science, стр. 398-411. Springer, (2019)Applying Supervised Classifiers Based on Non-negative Matrix Factorization to Musical Instrument Classification., , и . ICME, стр. 2105-2108. IEEE Computer Society, (2006)