MS-SENet: Enhancing Speech Emotion Recognition Through Multi-Scale Feature Fusion with Squeeze-and-Excitation Blocks
Summary
MS-SENet: Enhancing Speech Emotion Recognition Through Multi-Scale Feature Fusion with Squeeze-and-Excitation Blocks is a scholarly article[1].
Key Facts
MS-SENet: Enhancing Speech Emotion Recognition Through Multi-Scale Feature Fusion with Squeeze-and-Excitation Blocks's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). MS-SENet: Enhancing Speech Emotion Recognition Through Multi-Scale Feature Fusion with Squeeze-and-Excitation Blocks. Retrieved May 24, 2026, from https://4ort.xyz/entity/ms-senet-enhancing-speech-emotion-recognition-through-multi-scale-feature-fusion-with-squeeze-and-excitation-blocks
MLA“MS-SENet: Enhancing Speech Emotion Recognition Through Multi-Scale Feature Fusion with Squeeze-and-Excitation Blocks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ms-senet-enhancing-speech-emotion-recognition-through-multi-scale-feature-fusion-with-squeeze-and-excitation-blocks.
BibTeX@misc{4ortxyz_ms-senet-enhancing-speech-emotion-recognition-through-multi-scale-feature-fusion-with-squeeze-and-excitation-blocks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MS-SENet: Enhancing Speech Emotion Recognition Through Multi-Scale Feature Fusion with Squeeze-and-Excitation Blocks}}, year = {2026}, url = {https://4ort.xyz/entity/ms-senet-enhancing-speech-emotion-recognition-through-multi-scale-feature-fusion-with-squeeze-and-excitation-blocks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MS-SENet: Enhancing Speech Emotion Recognition Through Multi-Scale Feature Fusion with Squeeze-and-Excitation Blocks — https://4ort.xyz/entity/ms-senet-enhancing-speech-emotion-recognition-through-multi-scale-feature-fusion-with-squeeze-and-excitation-blocks (retrieved 2026-05-24)
