Characterization of Deep Learning-Based Speech-Enhancement Techniques in Online Audio Processing Applications.

ABSTRACT: Deep learning-based speech-enhancement techniques have recently been an area of growing interest, since their impressive performance can potentially benefit a wide variety of digital voice communication systems. However, such performance has been evaluated mostly in offline audio-processing scenarios (i.e., feeding the model, in one go, a complete audio recording, which may extend several seconds). It is of significant interest to evaluate and characterize the current state-of-the-art in applications that process audio online (i.e., feeding the model a sequence of segments of audio data, concatenating the results at the output end). Although evaluations and comparisons between speech-enhancement techniques have been carried out before, as far as the author knows, the work presented here is

SUBMITTER: Rascon C 

PROVIDER: S-EPMC10181690 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature