14 citations · 32 across the 9 of their papers we have counts for
11 papers
Fine-Grained and Interpretable Neural Speech Editing
Max Morrison, Cameron Churchwell, Nathan Pruyne +1
Fine-grained editing of speech attributes$\unicode{x2014}$such as prosody (i.e., the pitch, loudness, and phoneme durations), pronunciation, speaker identity, and formants$\unicode…
High-Fidelity Neural Phonetic Posteriorgrams
Cameron Churchwell, Max Morrison, Bryan Pardo
A phonetic posteriorgram (PPG) is a time-varying categorical distribution over acoustic units of speech (e.g., phonemes). PPGs are a popular representation in speech generation due…
Crowdsourced and Automatic Speech Prominence Estimation
Max Morrison, Pranav Pawar, Nathan Pruyne +2
The prominence of a spoken word is the degree to which an average native listener perceives the word as salient or emphasized relative to its context. Speech prominence estimation…
Cross-domain Neural Pitch and Periodicity Estimation
Max Morrison, Caedon Hsieh, Nathan Pruyne +1
Pitch is a foundational aspect of our perception of audio signals. Pitch contours are commonly used to analyze speech and music signals and as input features for many audio tasks,…
Music Separation Enhancement with Generative Modeling
Noah Schaffer, Boaz Cogan, Ethan Manilow +3
Despite phenomenal progress in recent years, state-of-the-art music separation systems produce source estimates with significant perceptual shortcomings, such as adding extraneous…
Reproducible Subjective Evaluation
Max Morrison, Brian Tang, Gefei Tan +1
Human perceptual studies are the gold standard for the evaluation of many research tasks in machine learning, linguistics, and psychology. However, these studies require significan…