Post-Net: A linguistically inspired sequence-dependent transformed neural architecture for automatic syllable stress detection. - Sai Harshitha Aluru; Jhansi Mallela; Chiranjeevi Yarra (INTERSPEECH, 2024)

A comparative analysis of sequential models that integrate syllable dependency for automatic syllable stress detection. - Jhansi Mallela; Sai Harshitha Aluru; Chiranjeevi Yarra (INTERSPEECH, 2024)

Exploring the Use of Self-Supervised Representations for Automatic Syllable Stress Detection. - Jhansi Mallela; Sai Harshitha Aluru; Chiranjeevi Yarra (NCC, 2024)

Post-Net2.0: An adaptive weighted loss function driven by linguistic constraint for automatic syllable stress detection. - Sai Harshitha Aluru; Jhansi Mallela; Chiranjeevi Yarra (ICASSP, 2025)

Evaluating the Impact of Discriminative and Generative E2E Speech Enhancement Models on Syllable Stress Preservation. - Rangavajjala Sankara Bharadwaj; Jhansi Mallela; Sai Harshitha Aluru; Chiranjeevi Yarra (ICASSP, 2025)