A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

Abstract: For a proper choice of the analysis window, a short-time Fourier transform is known to be completely characterized by its zeros, which coincide with those of the associated spectrogram. A ...

Abstract: Audio sentiment analysis has many applications in a present-day context, such as call center environments, conversational agents, and human-robot interactions. However, analyzing sentiment ...

Intuitively, a Time-Aliased-Hann window is a sound sample that starts playing in the middle, and slowly fades to zero, while at the same time we start playing samples from beginning and slowly fade in ...