Specifically, we introduce iterative self-learning (ISL), a solution that uses a DNN model and the data to correct segment-level labels during iterative ...
Dec 7, 2021 · To this end, this work proposes a simple and effective iterative self-learning (ISL) framework, which comprises a procedure to progressively ...
To this end, this work proposes a simple and effective iterative self-learning (ISL) framework, which comprises a procedure to progressively correct segment- ...
Oct 22, 2024 · To this end, this work proposes a simple and effective deep self-learning (DSL) framework, which comprises a procedure to progressively correct ...
A simple and effective deep self-learning (DSL) framework, which comprises a procedure to progressively correct segment-level labels in an iterative ...
Sep 12, 2024 · To this end, this work proposes a simple and effective deep self-learning (DSL) framework, which comprises a procedure to progressively correct ...
Co-authors ; Enhancing segment-based speech emotion recognition by iterative self-learning. S Mao, PC Ching, T Lee. IEEE/ACM Transactions on Audio, Speech, and ...
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Jun 5, 2024 · In this paper, we introduce an innovative investigation in speech emotion recognition (SER). The proposed model combines deep learning-based and handcrafted ...
Jul 26, 2024 · Shuiyang Mao , P. C. Ching , Tan Lee : Enhancing Segment-Based Speech Emotion Recognition by Iterative Self-Learning. IEEE ACM Trans.
Oct 16, 2024 · The paper proposes Segmental Average Pooling (SAP), which selectively focuses on informative speech segments while ignoring non-speech segments.
Missing: Iterative | Show results with:Iterative