Text Generation with Speech Synthesis for ASR Data Augmentation

no code implementations • 22 May 2023 • Zhuangqun Huang, Gil Keren, Ziran Jiang, Shashank Jain, David Goss-Grubbs, Nelson Cheng, Farnaz Abtahi, Duc Le, David Zhang, Antony D'Avirro, Ethan Campbell-Taylor, Jessie Salas, Irina-Elena Veliche, Xi Chen

In this work, we explore text augmentation for ASR using large-scale pre-trained neural networks, and systematically compare those to traditional text augmentation methods.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

EAC-Net: A Region-based Deep Enhancing and Cropping Approach for Facial Action Unit Detection

no code implementations • 9 Feb 2017 • Wei Li, Farnaz Abtahi, Zhigang Zhu, Lijun Yin

For the enhancing layers, we designed an attention map based on facial landmark features and applied it to a pretrained neural network to conduct enhanced learning (The E-Net).

Action Unit Detection Facial Action Unit Detection

A Recursive Framework for Expression Recognition: From Web Images to Deep Models to Game Dataset

no code implementations • 4 Aug 2016 • Wei Li, Christina Tsangouri, Farnaz Abtahi, Zhigang Zhu

In order to increase the expression recognition accuracy, we also fine-tune the CNN model and thus obtain a better CNN facial expression recognition model.

Facial Expression Recognition Facial Expression Recognition (FER)

Towards an "In-the-Wild" Emotion Dataset Using a Game-based Framework

no code implementations • 10 Jul 2016 • Wei Li, Farnaz Abtahi, Christina Tsangouri, Zhigang Zhu

To evaluate the dataset, we compared the performance of two deep learning models trained on both GaMo and CIFE.