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This involves identifying and fixing any issues with these audios to improve their quality. The goal is that the quality will be not only be as good as volunteer-read audios but better since these voices can be better suited for narration that is as listenable as audiobooks or podcasts (professional audiobook narrator voice quality).
Its speed and accuracy have led many to note that its generated voices sound near-indistinguishable from "real life", provided that sufficient computational specifications and resources (e.g., a powerful GPU and ample RAM) are available when running it locally and that a high-quality voice model is used. [2] [3] [4]
Adobe Enhanced Speech is an online artificial intelligence software tool by Adobe that aims to significantly improve the quality of recorded speech that may be badly muffled, reverberated, full of artifacts, tinny, etc. and convert it to a studio-grade, professional level, regardless of the initial input's clarity. [1]
Technical advances in AI spurred by the rise of large language models have fostered the emergence of a new generation of voice assistants far more capable than Amazon's Alexa, Apple's Siri and ...
The objective of enhancement is improvement in intelligibility and/or overall perceptual quality of degraded speech signal using audio signal processing techniques. Enhancing of speech degraded by noise, or noise reduction, is the most important field of speech enhancement, and used for many applications such as mobile phones , VoIP ...
In March 2020, a Massachusetts Institute of Technology researcher under the pseudonym 15 demonstrated data-efficient deep learning speech synthesis through 15.ai, a web application capable of generating high-quality speech using only 15 seconds of training data, [6] [7] compared to previous systems that required tens of hours. [8]
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