Voice transformation (VT) aims to change one or more aspects of a speech signal while
preserving linguistic information. A subset of VT, Voice conversion (VC) specifically aims to …

A core goal of auditory neuroscience is to build quantitative models that predict cortical
responses to natural sounds. Reasoning that a complete model of auditory cortex must solve …

Speech information can be roughly decomposed into four components: language content,
timbre, pitch, and rhythm. Obtaining disentangled representations of these components is …

While humans use their voice mainly for communicating information about the world,
paralinguistic cues in the voice signal convey rich dynamic information about a speaker's …

A vocoder-based speech synthesis system, named WORLD, was developed in an effort to
improve the sound quality of real-time applications using speech. Speech analysis …

In this study, we propose a speaker-dependent WaveNet vocoder, a method of synthesizing
speech waveforms with WaveNet, by utilizing acoustic features from existing vocoder as …

Music is present in every culture, but the degree to which it is shaped by biology remains
debated. One widely discussed phenomenon is that some combinations of notes are …

An algorithm is proposed for estimating the band aperiodicity of speech signals, where
“aperiodicity” is defined as the power ratio between the speech signal and the aperiodic …

Music perception is plausibly constrained by universal perceptual mechanisms adapted to
natural sounds. Such constraints could arise from our dependence on harmonic frequency …

We propose an end-to-end text-to-speech (TTS) synthesis model that explicitly uses
information from pre-trained embeddings of the text. Recent work in natural language …