6 papers
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…
Automatic Contextual Audio Denoising
Diep Luong, Konstantinos Drossos, Mikko Heikkinen +1
Audio context determines which sound components and sources are relevant and which can be perceived as irrelevant (noise) by listeners. For example, traffic noise is informative in…
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…
Knowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance
Diep Luong, Mikko Heikkinen, Konstantinos Drossos +1
Speech denoising is a generally adopted and impactful task, appearing in many common and everyday-life use cases. Although there are very powerful methods published, most of those…
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…