activity
20172026
most citedHEAR: Holistic Evaluation of Audio Representations

36 citations · 85 across the 13 of their papers we have counts for

collaborators

16 papers

cs.SD2026

Retrieving Individual Stems from Music Mixtures with Slot Embeddings

David Braun, Junyi Fan, Pranay Manocha +2

Music producers search libraries of isolated instrument recordings, called stems, for sounds resembling parts of an existing song. Neural retrieval systems address this by mapping…

cs.SD2026

Quieter Than the Room: Representation Drift and Task Robustness in Speech Encoders

Vsevolod Kovalev, Pranay Manocha

Non-speech interference can change a speech representation without causing comparable task loss. We test eight frozen encoders on four tasks, adding non-speech sounds throughout re…

eess.AS2026

SEAM: Shortcut-Aware Real-Time Detection of Scripted vs. Spontaneous Speech for Interview Guardrails

Vsevolod, Kovalev, Pranay Manocha

Scripted vs spontaneous speech detection is appealing for interview guardrails, but benchmark performance can be inflated by shortcuts tied to corpus identity, channel conditions,…

eess.AS2023

CORN: Co-Trained Full- And No-Reference Speech Quality Assessment

Pranay Manocha, Donald Williamson, Adam Finkelstein

Perceptual evaluation constitutes a crucial aspect of various audio-processing tasks. Full reference (FR) or similarity-based metrics rely on high-quality reference recordings, to…

eess.AS2023★ 2 cited

TorchAudio-Squim: Reference-less Speech Quality and Intelligibility measures in TorchAudio

Anurag Kumar, Ke Tan, Zhaoheng Ni +4

Measuring quality and intelligibility of a speech signal is usually a critical step in development of speech processing systems. To enable this, a variety of metrics to measure qua…

eess.AS2022

Audio Similarity is Unreliable as a Proxy for Audio Quality

Pranay Manocha, Zeyu Jin, Adam Finkelstein

Many audio processing tasks require perceptual assessment. However, the time and expense of obtaining ``gold standard'' human judgments limit the availability of such data. Most ap…