no code implementations • 13 Oct 2023 • Pranay Manocha, Donald Williamson, Adam Finkelstein
In contrast, no-reference (NR) metrics evaluate a recording without relying on a reference.
no code implementations • 4 Apr 2023 • Anurag Kumar, Ke Tan, Zhaoheng Ni, Pranay Manocha, Xiaohui Zhang, Ethan Henderson, Buye Xu
To enable this, a variety of metrics to measure quality and intelligibility under different assumptions have been developed.
no code implementations • 27 Jun 2022 • Pranay Manocha, Zeyu Jin, Adam Finkelstein
Many audio processing tasks require perceptual assessment.
no code implementations • 24 Jun 2022 • Pranay Manocha, Anurag Kumar, Buye Xu, Anjali Menon, Israel D. Gebru, Vamsi K. Ithapu, Paul Calamia
Audio quality assessment is critical for assessing the perceptual realism of sounds.
1 code implementation • 24 Jun 2022 • Pranay Manocha, Anurag Kumar
Human judgments obtained through Mean Opinion Scores (MOS) are the most reliable way to assess the quality of speech signals.
3 code implementations • 6 Mar 2022 • Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk
The aim of the HEAR benchmark is to develop a general-purpose audio representation that provides a strong basis for learning in a wide variety of tasks and scenarios.
1 code implementation • NeurIPS 2021 • Pranay Manocha, Buye Xu, Anurag Kumar
We show that neural networks trained using our framework produce scores that correlate well with subjective mean opinion scores (MOS) and are also competitive to methods such as DNSMOS, which explicitly relies on MOS from humans for training networks.
no code implementations • 29 May 2021 • Pranay Manocha, Anurag Kumar, Buye Xu, Anjali Menon, Israel D. Gebru, Vamsi K. Ithapu, Paul Calamia
Subjective evaluations are critical for assessing the perceptual realism of sounds in audio-synthesis driven technologies like augmented and virtual reality.
1 code implementation • 9 Feb 2021 • Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein
The DPAM approach of Manocha et al. learns a full-reference metric trained directly on human judgments, and thus correlates well with human perception.
1 code implementation • 13 Jan 2020 • Pranay Manocha, Adam Finkelstein, Zeyu Jin, Nicholas J. Bryan, Richard Zhang, Gautham J. Mysore
Assessment of many audio processing tasks relies on subjective evaluation which is time-consuming and expensive.
no code implementations • 31 Oct 2017 • Tanvi Gupta, Pranay Manocha, Tapan K. Gandhi, RK Gupta, BK Panigrahi
The diagnosis and segmentation of tumors using any medical diagnostic tool can be challenging due to the varying nature of this pathology.
no code implementations • 28 Oct 2017 • Pranay Manocha, Snehal Bhasme, Tanvi Gupta, BK Panigrahi, Tapan K. Gandhi
Magnetic Resonance Imaging (MRI) is an important diagnostic tool for precise detection of various pathologies.