Audio Compression
12 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Audio Compression
Most implemented papers
UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
yzyouzhang/asvspoof2021_air
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Different from previous ASVspoof challenges, the LA task this year presents codec and transmission channel variability, while the new task DF presents general audio compression.
High Fidelity Neural Audio Compression
We introduce a state-of-the-art real-time, high-fidelity, audio codec leveraging neural networks.
Bayesian Reconstruction of Fourier Pairs
Our aim is to address the lack of a principled treatment of data acquired indistinctly in the temporal and frequency domains in a way that is robust to missing or noisy observations, and that at the same time models uncertainty effectively.
MP3net: coherent, minute-long music generation from raw audio with a simple convolutional GAN
We present a deep convolutional GAN which leverages techniques from MP3/Vorbis audio compression to produce long, high-quality audio samples with long-range coherence.
ClefNet: Recurrent Autoencoders with Dynamic Time Warping for Near-Lossless Music Compression and Minimal-Latency Transmission
rvignav/ClefNet
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The onset of coronavirus disease 2019 (COVID-19), an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has sparked unprecedented change.
Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio Sequences
darshandeshpande/audio-spectral-enhancement
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With active research in audio compression techniques yielding substantial breakthroughs, spectral reconstruction of low-quality audio waves remains a less indulged topic.
Compression with Bayesian Implicit Neural Representations
cambridge-mlg/combiner
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NeurIPS 2023
Many common types of data can be represented as functions that map coordinates to signal values, such as pixel locations to RGB values in the case of an image.
DC CoMix TTS: An End-to-End Expressive TTS with Discrete Code Collaborated with Mixer
We demonstrate that the reference encoder learns better speaker-independent prosody when discrete code is utilized as input in the experiments.
High-Fidelity Audio Compression with Improved RVQGAN
descriptinc/descript-audio-codec
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NeurIPS 2023
Language models have been successfully used to model natural signals, such as images, speech, and music.
Quantifying Spatial Audio Quality Impairment
Spatial audio quality is a highly multifaceted concept, with many interactions between environmental, geometrical, anatomical, psychological, and contextual considerations.
