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At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech.

, , and . INTERSPEECH, page 495--499. (2016)

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SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild., , , , , , , , , and 2 other author(s). CoRR, (2019)Identifying Emotions in Opera Singing: Implications of Adverse Acoustic Conditions., , , , , , and . ISMIR, page 376-382. (2018)I Know How you Feel Now, and Here's why!: Demystifying Time-Continuous High Resolution Text-Based Affect Predictions in the Wild., , , and . CBMS, page 465-470. IEEE, (2019)The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring., , , , , , , , , and 12 other author(s). INTERSPEECH, page 3442-3446. ISCA, (2017)Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech., , , , , and . INTERSPEECH, page 3082-3086. ISCA, (2018)How Good Is Your Model 'Really'? On 'Wildness' of the In-the-Wild Speech-Based Affect Recognisers., , , , , and . SPECOM, volume 11096 of Lecture Notes in Computer Science, page 490-500. Springer, (2018)Introducing an Emotion-Driven Assistance System for Cognitively Impaired Individuals., , , , , , , and . ICCHP (1), volume 10896 of Lecture Notes in Computer Science, page 486-494. Springer, (2018)A Paralinguistic Approach To Speaker Diarisation: Using Age, Gender, Voice Likability and Personality Traits., , , , , and . ACM Multimedia, page 387-392. ACM, (2017)AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition., , , , , , , , , and 7 other author(s). AVEC@MM, page 3-12. ACM, (2019)End-to-end Audio Classification with Small Datasets - Making It Work., and . EUSIPCO, page 1-5. IEEE, (2019)