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Multi-Modal Learning for Speech Emotion Recognition: An Analysis and Comparison of ASR Outputs with Ground Truth Transcription.

, , , and . INTERSPEECH, page 3302-3306. ISCA, (2019)

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Assessing Neuromotor Coordination in Depression Using Inverted Vocal Tract Variables., , , and . INTERSPEECH, page 1448-1452. ISCA, (2019)Speech Based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model., and . Interspeech, page 2526-2530. ISCA, (2021)Extended Study on the Use of Vocal Tract Variables to Quantify Neuromotor Coordination in Depression., , , , and . INTERSPEECH, page 4551-4555. ISCA, (2020)Generalized Dilated CNN Models for Depression Detection Using Inverted Vocal Tract Variables., and . Interspeech, page 4513-4517. ISCA, (2021)Deep Learning Based Generalized Models for Depression Classification., and . CoRR, (2020)Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals., , , , and . INTERSPEECH, page 4681-4685. ISCA, (2022)Multi-Corpus Acoustic-to-Articulatory Speech Inversion., , and . INTERSPEECH, page 859-863. ISCA, (2019)Multimodal Depression Classification using Articulatory Coordination Features and Hierarchical Attention Based text Embeddings., and . ICASSP, page 6252-6256. IEEE, (2022)Multimodal Depression Severity Score Prediction Using Articulatory Coordination Features and Hierarchical Attention Based Text Embeddings., and . INTERSPEECH, page 3353-3357. ISCA, (2022)Noise Robust Acoustic to Articulatory Speech Inversion., , , and . INTERSPEECH, page 3137-3141. ISCA, (2018)