Search Results for author: Adam Finkelstein

Found 12 papers, 5 papers with code

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

no code implementations13 Oct 2023 Pranay Manocha, Donald Williamson, Adam Finkelstein

In contrast, no-reference (NR) metrics evaluate a recording without relying on a reference.

CDPAM: Contrastive learning for perceptual audio similarity

1 code implementation9 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.

Contrastive Learning Speech Enhancement +1

Learning from Shader Program Traces

no code implementations8 Feb 2021 Yuting Yang, Connelly Barnes, Adam Finkelstein

We investigate this learning task for a variety of applications: our model can learn to predict a low-noise output image from shader programs that exhibit sampling noise; this model can also learn from a simplified shader program that approximates the reference solution with less computation, as well as learn the output of postprocessing filters like defocus blur and edge-aware sharpening.

HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

1 code implementation10 Jun 2020 Jiaqi Su, Zeyu Jin, Adam Finkelstein

Real-world audio recordings are often degraded by factors such as noise, reverberation, and equalization distortion.

Denoising Speech Dereverberation

Text-based Editing of Talking-head Video

1 code implementation4 Jun 2019 Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala

To edit a video, the user has to only edit the transcript, and an optimization strategy then chooses segments of the input corpus as base material.

Face Model Sentence +3

Perceptually-motivated Environment-specific Speech Enhancement

no code implementations ICASSP 2019 Jiaqi Su, Adam Finkelstein, Zeyu Jin

This paper introduces a deep learning approach to enhance speech recordings made in a specific environment.

Speech Enhancement

PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup

no code implementations CVPR 2018 Huiwen Chang, Jingwan Lu, Fisher Yu, Adam Finkelstein

This paper introduces an automatic method for editing a portrait photo so that the subject appears to be wearing makeup in the style of another person in a reference photo.

Style Transfer

High-Precision Localization Using Ground Texture

no code implementations29 Oct 2017 Linguang Zhang, Adam Finkelstein, Szymon Rusinkiewicz

We introduce an image-based global localization system that is accurate to a few millimeters and performs reliable localization both indoors and outside.

Vocal Bursts Intensity Prediction

TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking

1 code implementation25 Apr 2015 Pingmei Xu, Krista A. Ehinger, yinda zhang, Adam Finkelstein, Sanjeev R. Kulkarni, Jianxiong Xiao

Traditional eye tracking requires specialized hardware, which means collecting gaze data from many observers is expensive, tedious and slow.

Saliency Prediction

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