4 papers
Clinically Inspired Symptom-Guided Depression Detection from Emotion-Aware Speech Representations
Chaithra Nerella, Chiranjeevi Yarra
Depression manifests through a diverse set of symptoms such as sleep disturbance, loss of interest, and concentration difficulties. However, most existing works treat depression pr…
Decoding Emotion: Speech Perception Patterns in Individuals with Self-reported Depression
Guneesh Vats, Priyanka Srivastava, Chiranjeevi Yarra
The current study examines the relationship between self-reported depression and the perception of affective speech within the Indian population. PANAS and PHQ-9 were used to asses…
Evaluating the Impact of Discriminative and Generative E2E Speech Enhancement Models on Syllable Stress Preservation
Rangavajjala Sankara Bharadwaj, Jhansi Mallela, Sai Harshitha Aluru +1
Automatic syllable stress detection is a crucial component in Computer-Assisted Language Learning (CALL) systems for language learners. Current stress detection models are typicall…
A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings
Anindita Mondal, Rangavajjala Sankara Bharadwaj, Jhansi Mallela +2
Automatic detection of prominence at the word and syllable-levels is critical for building computer-assisted language learning systems. It has been shown that prosody embeddings le…