2 citations · 2 across the 2 of their papers we have counts for
2 papers
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…