Home ›
Entities
› academia
› ESERNet: Learning spectrogram structure relationship for effective speech emotion recognition with swin transformer in classroom discourse analysis
ESERNet: Learning spectrogram structure relationship for effective speech emotion recognition with swin transformer in classroom discourse analysis
Research article (Neurocomputing, 2024) · cited 40× · AI/ML
ESERNet: Learning spectrogram structure relationship for effective speech emotion recognition with swin transformer in classroom discourse analysis
Summary
ESERNet: Learning spectrogram structure relationship for effective speech emotion recognition with swin transformer in classroom discourse analysis is a scholarly article[1].
Key Facts
ESERNet: Learning spectrogram structure relationship for effective speech emotion recognition with swin transformer in classroom discourse analysis's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). ESERNet: Learning spectrogram structure relationship for effective speech emotion recognition with swin transformer in classroom discourse analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/esernet-learning-spectrogram-structure-relationship-for-effective-speech-emotion-recognition-with-swin-transformer-in-cl
MLA“ESERNet: Learning spectrogram structure relationship for effective speech emotion recognition with swin transformer in classroom discourse analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/esernet-learning-spectrogram-structure-relationship-for-effective-speech-emotion-recognition-with-swin-transformer-in-cl.
BibTeX@misc{4ortxyz_esernet-learning-spectrogram-structure-relationship-for-effective-speech-emotion-recognition-with-swin-transformer-in-cl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ESERNet: Learning spectrogram structure relationship for effective speech emotion recognition with swin transformer in classroom discourse analysis}}, year = {2026}, url = {https://4ort.xyz/entity/esernet-learning-spectrogram-structure-relationship-for-effective-speech-emotion-recognition-with-swin-transformer-in-cl}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ESERNet: Learning spectrogram structure relationship for effective speech emotion recognition with swin transformer in classroom discourse analysis — https://4ort.xyz/entity/esernet-learning-spectrogram-structure-relationship-for-effective-speech-emotion-recognition-with-swin-transformer-in-cl (retrieved 2026-05-24)
