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Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech from Existing Podcast Recordings.

, and . IEEE Trans. Affect. Comput., 10 (4): 471-483 (2019)

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Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech from Existing Podcast Recordings., and . IEEE Trans. Affect. Comput., 10 (4): 471-483 (2019)Impact of sensor misplacement on dynamic time warping based human activity recognition using wearable computers., , , and . Wireless Health, page 7:1-7:8. ACM, (2012)Exploring the Intersection Between Speaker Verification and Emotion Recognition., , , and . ACII Workshops, page 337-342. IEEE, (2019)Building a naturalistic emotional speech corpus by retrieving expressive behaviors from existing speech corpora., , and . INTERSPEECH, page 238-242. ISCA, (2014)Predicting Categorical Emotions by Jointly Learning Primary and Secondary Emotions through Multitask Learning., and . INTERSPEECH, page 951-955. ISCA, (2018)A Low Power Wake-Up Circuitry Based on Dynamic Time Warping for Body Sensor Networks., and . BSN, page 83-88. IEEE, (2011)Over-Sampling Emotional Speech Data Based on Subjective Evaluations Provided by Multiple Individuals., and . IEEE Trans. Affect. Comput., 12 (4): 870-882 (2021)Retrieving Categorical Emotions Using a Probabilistic Framework to Define Preference Learning Samples., and . INTERSPEECH, page 490-494. ISCA, (2016)Ranking emotional attributes with deep neural networks., , and . ICASSP, page 4995-4999. IEEE, (2017)Retrieving Speech Samples with Similar Emotional Content Using a Triplet Loss Function., , , and . ICASSP, page 7400-7404. IEEE, (2019)