3 accepted papers
End-to-end (E2E) automatic speech recognition (ASR) methods exhibit remarkable performance. However, since the performance of such methods is intrinsically linked to the context present in the training data, E2E-ASR methods do not perform as desired for unseen user contexts (e.g., technical terms, p…
There has been an increasing interest in large speech models that can perform multiple tasks in a single model. Such models usually adopt an encoder-decoder or decoder-only architecture due to their popularity and good performance in many domains. However, autoregressive models can be slower during…
This paper proposes an environmental sound segmentation method using Mask U-Net. Recent research in robot audition has analyzed noise reduction, section detection, and sound source separation for use in a real-world environment with many noises and overlaps. However, conventional methods apply respe…