What type of study is this?

This is a Literature Review study.

October 23, 2025International Journal of Research and Innovation in Applied ScienceOpen Access

"Deep Learning Approaches for Sarcasm Detection in Audio Signals: A Literature Review"

View Full Paper

Ask AI

Bookmark

Authors

MAMs. Reetu Awasthi VCVinay Chavan

Discussion

Member takes

Implication

Literature review shows advances in sarcasm detection using audio, suggesting deeper integration with textual analysis for improved human-computer interaction.

Key Points

Sarcasm detection methods leverage deep learning to analyze vocal features and intonation, enhancing accuracy.
The review encompasses 58 articles on machine learning innovations and their tie to cultural and linguistic variations.
Analysis focused on methods combining audio with textual analysis, indicating a need for multimodal systems.
The research highlights the potential of improved sarcasm detection in enhancing communication technologies.

Cite This Study

Awasthi et al. (2025) studied this question.

synapsesocial.com/papers/68f9bad6d7353cfcfc68f520 https://doi.org/10.51584/ijrias.2025.100900068

View Full Paper

Ask AI

Bookmark

Implication

Literature review shows advances in sarcasm detection using audio, suggesting deeper integration with textual analysis for improved human-computer interaction.

"Deep Learning Approaches for Sarcasm Detection in Audio Signals: A Literature Review"

Discussion

Member takes

Implication

Key Points

Cite This Study

"Deep Learning Approaches for Sarcasm Detection in Audio Signals: A Literature Review"

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider