most citedExplaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic Features

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cs.SD2024

Improving Speaker Representations Using Contrastive Losses on Multi-scale Features

Satvik Dixit, Massa Baali, Rita Singh +1

Speaker verification systems have seen significant advancements with the introduction of Multi-scale Feature Aggregation (MFA) architectures, such as MFA-Conformer and ECAPA-TDNN.…

cs.SD2024★ 1 cited

Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic Features

Satvik Dixit, Daniel M. Low, Gasser Elbanna +2

Pre-trained deep learning embeddings have consistently shown superior performance over handcrafted acoustic features in speech emotion recognition (SER). However, unlike acoustic f…