42 citations · 44 across the 10 of their papers we have counts for
10 papers
TART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcription
Akshaj Gupta, Hwi Joo Park, Andrea Guzman +5
Automatic Music Transcription (AMT) for guitar remains limited by three challenges: existing systems often fail to capture expressive techniques such as slides, bends, and percussi…
TART: A Comprehensive Tool for Technique-Aware Audio-to-Tab Guitar Transcription
Akshaj Gupta, Andrea Guzman, Anagha Badriprasad +5
Automatic Music Transcription (AMT) has advanced significantly for the piano, but transcription for the guitar remains limited due to several key challenges. Existing systems fail…
EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Spoken Dialogue Systems
Jingwen Liu, Kan Jen Cheng, Jiachen Lian +8
Speech emotions play a crucial role in human-computer interaction, shaping engagement and context-aware communication. Despite recent advances in spoken dialogue systems, a holisti…
Sound Check: Auditing Audio Datasets
William Agnew, Julia Barnett, Annie Chu +6
Generative audio models are rapidly advancing in both capabilities and public utilization -- several powerful generative audio models have readily available open weights, and some…
Speech After Gender: A Trans-Feminine Perspective on Next Steps for Speech Science and Technology
Robin Netzorg, Alyssa Cote, Sumi Koshin +2
As experts in voice modification, trans-feminine gender-affirming voice teachers have unique perspectives on voice that confound current understandings of speaker identity. To demo…
Unconstrained Dysfluency Modeling for Dysfluent Speech Transcription and Detection
Jiachen Lian, Carly Feng, Naasir Farooqi +7
Dysfluent speech modeling requires time-accurate and silence-aware transcription at both the word-level and phonetic-level. However, current research in dysfluency modeling primari…
PerMod: Perceptually Grounded Voice Modification with Latent Diffusion Models
Robin Netzorg, Ajil Jalal, Luna McNulty +1
Perceptual modification of voice is an elusive goal. While non-experts can modify an image or sentence perceptually with available tools, it is not clear how to similarly modify sp…
Towards an Interpretable Representation of Speaker Identity via Perceptual Voice Qualities
Robin Netzorg, Bohan Yu, Andrea Guzman +3
Unlike other data modalities such as text and vision, speech does not lend itself to easy interpretation. While lay people can understand how to describe an image or sentence via p…
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining
Aaron J. Li, Robin Netzorg, Zhihan Cheng +2
In recent years, work has gone into developing deep interpretable methods for image classification that clearly attributes a model's output to specific features of the data. One su…
Curating a COVID-19 data repository and forecasting county-level death counts in the United States
Nick Altieri, Rebecca L. Barter, James Duncan +11
As the COVID-19 outbreak evolves, accurate forecasting continues to play an extremely important role in informing policy decisions. In this paper, we present our continuous curatio…