Some neural vocoders with fundamental frequency (f 0) control have succeeded in
performing real-time inference on a single CPU while preserving the quality of the synthetic …

This paper presents an advanced end-to-end singing voice synthesis (SVS) system based
on the source-filter mechanism that directly translates lyrical and melodic cues into …

This paper studies a high-speed text-independent Automatic Speaker Recognition (ASR)
algorithm based on a multicore system's Gaussian Mixture Model (GMM). The high speech …

We introduce an end-to-end neural speech synthesis system that uses the source-filter
model of speech production. Specifically, we apply differentiable resonant filters to a glottal …

Training the linear prediction (LP) operator end-to-end for audio synthesis in modern deep
learning frameworks is slow due to its recursive formulation. In addition, frame-wise …

This paper introduces GlOttal‑flow LPC Filter (GOLF), a novel method for singing voice
synthesis (SVS) that exploits the physical characteristics of the human voice using …

This paper introduces an interactive GUI to teach speech signal processing fundamentals to
undergraduate students. Traditional teaching methods often struggle to convey complex …

Pitch estimation plays an important role in various music processing and music information
retrieval applications. The traditional methods for pitch estimation contain rich prior …

The main objective of this thesis is to synthesise motion from speech, especially in
conversation. Based on previous research into different acoustic features or the combination …