275 citations · 356 across the 16 of their papers we have counts for
6 papers · 1 filter
A Fast and Accurate Pitch Estimation Algorithm Based on the Pseudo Wigner-Ville Distribution
Yisi Liu, Peter Wu, Alan W Black +1
Estimation of fundamental frequency (F0) in voiced segments of speech signals, also known as pitch tracking, plays a crucial role in pitch synchronous speech analysis, speech synth…
Articulation GAN: Unsupervised modeling of articulatory learning
Gašper Beguš, Alan Zhou, Peter Wu +1
Generative deep neural networks are widely used for speech synthesis, but most existing models directly generate waveforms or spectral outputs. Humans, however, produce speech by c…
Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech
Cheol Jun Cho, Peter Wu, Abdelrahman Mohamed +1
Recent self-supervised learning (SSL) models have proven to learn rich representations of speech, which can readily be utilized by diverse downstream tasks. To understand such util…
Deep Speech Synthesis from Articulatory Representations
Peter Wu, Shinji Watanabe, Louis Goldstein +2
In the articulatory synthesis task, speech is synthesized from input features containing information about the physical behavior of the human vocal tract. This task provides a prom…
Muskits: an End-to-End Music Processing Toolkit for Singing Voice Synthesis
Jiatong Shi, Shuai Guo, Tao Qian +9
This paper introduces a new open-source platform named Muskits for end-to-end music processing, which mainly focuses on end-to-end singing voice synthesis (E2E-SVS). Muskits suppor…
PACS: A Dataset for Physical Audiovisual CommonSense Reasoning
Samuel Yu, Peter Wu, Paul Pu Liang +2
In order for AI to be safely deployed in real-world scenarios such as hospitals, schools, and the workplace, it must be able to robustly reason about the physical world. Fundamenta…