1 citations · 1 across the 7 of their papers we have counts for
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Neural Array-Generic Direction-of-Arrival Estimation Exploiting Array Transfer Functions
Mikko Heikkinen, Archontis Politis, Konstantinos Drossos +1
Direction-of-arrival (DoA) estimation is a key component of multichannel audio processing, yet many deep learning approaches remain tied to the microphone arrays used during traini…
Beyond Omnidirectional: Neural Ambisonics Encoding for Arbitrary Microphone Directivity Patterns using Cross-Attention
Mikko Heikkinen, Archontis Politis, Konstantinos Drossos +1
We present a deep neural network approach for encoding microphone array signals into Ambisonics that generalizes to arbitrary microphone array configurations with fixed microphone…
Lightweight DNN for Full-Band Speech Denoising on Mobile Devices: Exploiting Long and Short Temporal Patterns
Konstantinos Drossos, Mikko Heikkinen, Paschalis Tsiaflakis
Speech denoising (SD) is an important task of many, if not all, modern signal processing chains used in devices and for everyday-life applications. While there are many published a…
Gen-A: Generalizing Ambisonics Neural Encoding to Unseen Microphone Arrays
Mikko Heikkinen, Archontis Politis, Konstantinos Drossos +1
Using deep neural networks (DNNs) for encoding of microphone array (MA) signals to the Ambisonics spatial audio format can surpass certain limitations of established conventional m…
Neural Ambisonics encoding for compact irregular microphone arrays
Mikko Heikkinen, Archontis Politis, Tuomas Virtanen
Ambisonics encoding of microphone array signals can enable various spatial audio applications, such as virtual reality or telepresence, but it is typically designed for uniformly-s…