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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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Robust speech recognition using articulatory gestures in a Dynamic Bayesian Network framework., , and . ASRU, page 131-136. IEEE, (2011)Diversity of tongue shapes for the American English rhotic liquid., , , and . ICPhS, University of Glasgow, (2015)The Secret Source : Incorporating Source Features to Improve Acoustic-to-Articulatory Speech Inversion., and . CoRR, (2022)The design of acoustic parameters for speaker-independent speech recognition., and . EUROSPEECH, page 1239-1242. ISCA, (1997)Speech Based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model., and . Interspeech, page 2526-2530. ISCA, (2021)A new strategy of formant tracking based on dynamic programming., and . INTERSPEECH, page 55-58. ISCA, (2000)A Comparative Acoustic Study on Speech of Glossectomy Patients and Normal Subjects., , and . INTERSPEECH, page 517-520. ISCA, (2011)Assessing Neuromotor Coordination in Depression Using Inverted Vocal Tract Variables., , , and . INTERSPEECH, page 1448-1452. ISCA, (2019)A semi-automatic approach for speaker mining of tapped telephone conversations., and . INTERSPEECH, page 2009-2012. ISCA, (2007)An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models., , , and . INTERSPEECH, page 5408-5412. ISCA, (2022)