4 papers
Direction of arrival estimation from distant microphone data using single frequency filtering
Sushmita Thakallapalli, Sudarsana Reddy Kadiri, Nilesh Madhu +1
In distant microphones, broadband (BB) methods for direction-of-arrival (DoA) estimation are more suitable than narrowband (NB) methods. Due to the aggregation of their optimizatio…
Single frequency filtering based multi-speaker direction of arrival estimation from stereo recordings
Sushmita Thakallapalli, Sudarsana Reddy Kadiri, Nilesh Madhu +1
Robust direction-of-arrival (DoA) estimation from noisy and reverberant microphone signals remains challenging. Conventional estimators such as generalized cross-correlation (GCC)…
Towards Robust Generative Speech Enhancement Using Vector Quantisation-Based Neural Audio Codec
Haixin Zhao, Nilesh Madhu
This work investigates modelling strategies in continuous and discrete latent spaces in the vector quantisation (VQ)-based neural audio codec (NAC) speech enhancement (SE), along w…
Enhanced Deep Speech Separation in Clustered Ad Hoc Distributed Microphone Environments
Jihyun Kim, Stijn Kindt, Nilesh Madhu +1
Ad-hoc distributed microphone environments, where microphone locations and numbers are unpredictable, present a challenge to traditional deep learning models, which typically requi…