45 citations · 195 across the 44 of their papers we have counts for
5 papers · 1 filter
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…
Multi-Utterance Speech Separation and Association Trained on Short Segments
Yuzhu Wang, Archontis Politis, Konstantinos Drossos +1
Current deep neural network (DNN) based speech separation faces a fundamental challenge -- while the models need to be trained on short segments due to computational constraints, r…
Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers
Yuzhu Wang, Archontis Politis, Konstantinos Drossos +1
This paper addresses the problem of single-channel speech separation, where the number of speakers is unknown, and each speaker may speak multiple utterances. We propose a speech s…
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…