Deep neural mel-subband beamformer for in-car speech separation
While current deep learning (DL)-based beamforming techniques have been proved
effective in speech separation, they are often designed to process narrow-band (NB) …
effective in speech separation, they are often designed to process narrow-band (NB) …
Guided speech enhancement network
High quality speech capture has been widely studied for both voice communication and
human computer interface reasons. To improve the capture performance, we can often find …
human computer interface reasons. To improve the capture performance, we can often find …
Mask scalar prediction for improving robust automatic speech recognition
A Narayanan, J Walker, S Panchapagesan… - arXiv preprint arXiv …, 2022 - arxiv.org
Using neural network based acoustic frontends for improving robustness of streaming
automatic speech recognition (ASR) systems is challenging because of the causality …
automatic speech recognition (ASR) systems is challenging because of the causality …
Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition
In recent research, in the domain of speech processing, large End-to-End (E2E) systems for
Automatic Speech Recognition (ASR) have reported state-of-the-art performance on various …
Automatic Speech Recognition (ASR) have reported state-of-the-art performance on various …