3 papers
eess.AS2026
Samsone: A Family of Open Small Audio Language Models for On-Device Inference
Piotr Masztalski, Michał K. Grzeszczyk, Olaf Sikorski
The success of Large Audio Language Models has driven the development of massive multimodal networks exceeding billions of parameters. However, the demand for privacy-preserving, l…
eess.AS2020
Efficient Low-Latency Speech Enhancement with Mobile Audio Streaming Networks
Michał Romaniuk, Piotr Masztalski, Karol Piaskowski +1
We propose Mobile Audio Streaming Networks (MASnet) for efficient low-latency speech enhancement, which is particularly suitable for mobile devices and other applications where com…
eess.AS2020
StoRIR: Stochastic Room Impulse Response Generation for Audio Data Augmentation
Piotr Masztalski, Mateusz Matuszewski, Karol Piaskowski +1
In this paper we introduce StoRIR - a stochastic room impulse response generation method dedicated to audio data augmentation in machine learning applications. This technique, in c…