Popular music is often composed of an accompaniment and a lead component, the latter
typically consisting of vocals. Filtering such mixtures to extract one or both components has …

We present FastPitch, a fully-parallel text-to-speech model based on FastSpeech,
conditioned on fundamental frequency contours. The model predicts pitch contours during …

Learn the technology behind hearing aids, Siri, and Echo Audio source separation and
speech enhancement aim to extract one or more source signals of interest from an audio …

For a long time, many popular listening test methods, such as ITU-R BS. 1534 (MUSHRA),
could not be carried out as web-based listening tests, since established web standards did …

The goal of voice conversion is to transform source speech into a target voice, keeping the
content unchanged. In this paper, we focus on self-supervised representation learning for …

We introduce FFTNet, a deep learning approach synthesizing audio waveforms. Our
approach builds on the recent WaveNet project, which showed that it was possible to …

Many audio processing tasks require perceptual assessment. The``gold standard``of
obtaining human judgments is time-consuming, expensive, and cannot be used as an …

“Playing” with notation software, part 2 of 2: There are lots of ways you can manipulate a
notation file for playback purposes. Philip Rothman and David MacDonald continue a two …

We present a new method to capture the acoustic characteristics of real-world rooms using
commodity devices, and use the captured characteristics to generate similar sounding …

Résumé Subjective listening tests are routinely conducted by academic researchers and
industry professionals to assess the quality of various speech and audio processing …