9 citations · 22 across the 12 of their papers we have counts for
12 papers
Emotion-Disentangled Embedding Alignment for Noise-Robust and Cross-Corpus Speech Emotion Recognition
Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu
Effectiveness of speech emotion recognition in real-world scenarios is often hindered by noisy environments and variability across datasets. This paper introduces a two-step approa…
Unifying EEG and Speech for Emotion Recognition: A Two-Step Joint Learning Framework for Handling Missing EEG Data During Inference
Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu
Computer interfaces are advancing towards using multi-modalities to enable better human-computer interactions. The use of automatic emotion recognition (AER) can make the interacti…
Text-to-Audio Grounding Based Novel Metric for Evaluating Audio Caption Similarity
Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu
Automatic Audio Captioning (AAC) refers to the task of translating an audio sample into a natural language (NL) text that describes the audio events, source of the events and their…
Spectro Temporal EEG Biomarkers For Binary Emotion Classification
Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu
Electroencephalogram (EEG) is one of the most reliable physiological signal for emotion detection. Being non-stationary in nature, EEGs are better analysed by spectro temporal repr…
Automatic Audio Captioning using Attention weighted Event based Embeddings
Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu
Automatic Audio Captioning (AAC) refers to the task of translating audio into a natural language that describes the audio events, source of the events and their relationships. The…
A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios
Ayush Tripathi, Rupayan Chakraborty, Sunil Kumar Kopparapu
Imbalance in the proportion of training samples belonging to different classes often poses performance degradation of conventional classifiers. This is primarily due to the tendenc…