Search Results for author: Alejandro Luebs

Found 6 papers, 5 papers with code

SoundStream: An End-to-End Neural Audio Codec

5 code implementations7 Jul 2021 Neil Zeghidour, Alejandro Luebs, Ahmed Omran, Jan Skoglund, Marco Tagliasacchi

We present SoundStream, a novel neural audio codec that can efficiently compress speech, music and general audio at bitrates normally targeted by speech-tailored codecs.

Speech Enhancement

Handling Background Noise in Neural Speech Generation

1 code implementation23 Feb 2021 Tom Denton, Alejandro Luebs, Felicia S. C. Lim, Andrew Storus, Hengchin Yeh, W. Bastiaan Kleijn, Jan Skoglund

Recent advances in neural-network based generative modeling of speech has shown great potential for speech coding.

Denoising Speech Synthesis

Generative Speech Coding with Predictive Variance Regularization

1 code implementation18 Feb 2021 W. Bastiaan Kleijn, Andrew Storus, Michael Chinen, Tom Denton, Felicia S. C. Lim, Alejandro Luebs, Jan Skoglund, Hengchin Yeh

We introduce predictive-variance regularization to reduce the sensitivity to outliers, resulting in a significant increase in performance.

Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder

no code implementations14 Oct 2019 Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S. C. Lim, Alejandro Luebs, Oriol Vinyals, Thomas C. Walters

In order to efficiently transmit and store speech signals, speech codecs create a minimally redundant representation of the input signal which is then decoded at the receiver with the best possible perceptual quality.

Wavenet based low rate speech coding

1 code implementation1 Dec 2017 W. Bastiaan Kleijn, Felicia S. C. Lim, Alejandro Luebs, Jan Skoglund, Florian Stimberg, Quan Wang, Thomas C. Walters

Traditional parametric coding of speech facilitates low rate but provides poor reconstruction quality because of the inadequacy of the model used.

Bandwidth Extension

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