AI Audio Enhancers - page 2 of 2
SpectraLayers
603 views
(1 votes, average: 4.00 out of 5)
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Steinberg Spectralayers is an advanced audio editing software that utilizes a unique visual, spectral-based approach to audio manipulation. While not solely driven by AI for all its features, Spectralayers incorporates machine learning and AI algorithms for powerful tasks such as source separation. This allows users to visually identify and isolate individual sounds within a complex... [Read the full review]
DeepFilterNet2
65 views
(1 votes, average: 4.00 out of 5)Loading...
DeepFilterNet is an open-source project hosted on GitHub that focuses on deep learning-based audio noise suppression. As a repository containing code, models, and potentially research papers, DeepFilterNet provides a platform for researchers and developers to explore and implement neural networks for reducing noise in audio recordings. This type of project is highly relevant for video... [Read the full review]
HiFi-GAN
919 views
(1 votes, average: 4.00 out of 5)Loading...
HiFi-GAN is an open-source project available on GitHub that focuses on high-fidelity generative adversarial networks (GANs) for speech synthesis. GANs are a type of neural network architecture capable of generating realistic data, and in this case, the goal is to produce synthetic human-like speech with a high degree of fidelity and naturalness. While primarily aimed... [Read the full review]
AnyEnhance
267 views
(1 votes, average: 4.00 out of 5)Loading...
AnyEnhance, hosted on GitHub, is likely an open-source project dedicated to audio enhancement using artificial intelligence. As a research or development initiative, it probably includes code, models, and potentially research papers related to various audio enhancement tasks. These could encompass noise reduction to eliminate unwanted background sounds, dereverberation to reduce echoes and room ambiance, audio... [Read the full review]
AudioSR
190 views
(1 votes, average: 4.00 out of 5)Loading...
AudioLDM (Audio Language Model) AudioSR, as indicated by the URL pointing to a GitHub repository, likely refers to an open-source research project or model focused on audio super-resolution using a language model approach. Audio super-resolution aims to enhance the quality or resolution of audio signals, for example, by upsampling low-quality audio to a higher sampling... [Read the full review]