7 papers
Neural Directional Filtering with Configurable Directivity Pattern at Inference
Weilong Huang, Srikanth Raj Chetupalli, Emanuël A. P. Habets
Spatial filtering with a desired directivity pattern is advantageous for many audio applications. In this work, we propose neural directional filtering with user-defined directivit…
Neural Directional Filtering Using a Compact Microphone Array
Weilong Huang, Srikanth Raj Chetupalli, Mhd Modar Halimeh +2
Beamforming with desired directivity patterns using compact microphone arrays is essential in many audio applications. Directivity patterns achievable using traditional beamformers…
Benchmarking Speech Systems for Frontline Health Conversations: The DISPLACE-M Challenge
Dhanya E, Ankita Meena, Manas Nanivadekar +11
The DIarization and Speech Processing for LAnguage understanding in Conversational Environments - Medical (DISPLACE-M) challenge introduces a conversational AI benchmark for unders…
Training Strategies for Modality Dropout Resilient Multi-Modal Target Speaker Extraction
Srikanth Korse, Mohamed Elminshawi, Emanuel A. P. Habets +1
The primary goal of multi-modal TSE (MTSE) is to extract a target speaker from a speech mixture using complementary information from different modalities, such as audio enrolment a…
Dynamic Slimmable Networks for Efficient Speech Separation
Mohamed Elminshawi, Srikanth Raj Chetupalli, Emanuël A. P. Habets
Recent progress in speech separation has been largely driven by advances in deep neural networks, yet their high computational and memory requirements hinder deployment on resource…
Low-Complexity Neural Wind Noise Reduction for Audio Recordings
Hesam Eftekhari, Srikanth Raj Chetupalli, Shrishti Saha Shetu +2
Wind noise significantly degrades the quality of outdoor audio recordings, yet remains difficult to suppress in real-time on resource-constrained devices. In this work, we propose…