FMFCC-A

This project is the description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts.

The FMFCC-A dataset is shared through BaiduCloud (website: https://pan.baidu.com/s/1CGPkC8VfjXVBZjluEHsW6g , password: IIES). The FMFCC-A dataset is by far the largest publicly available Mandarin dataset for synthetic speech detection, which contains 40,000 synthesized Mandarin utterances that generated by 11 Mandarin TTS systems and two Mandarin VC systems, and 10,000 genuine Mandarin utterances collected from 58 speakers. In addition, the official website of FMFCC-A (Audio track of the first fake media forensic challenge of China Society of Image and Graphics) is http://fmfcc.net/ . We hope that the FMFCC-A dataset can fill the gap of lack of Mandarin datasets for synthetic speech detection under various audio post-processing operations.

If you find the code or dataset is usefull, please cite the following papers: FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection

The description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts.

Related tags

Overview

FMFCC-A

Owner

Categorical Depth Distribution Network for Monocular 3D Object Detection

Simple tutorials using Google's TensorFlow Framework

Multivariate Boosted TRee

This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Models used for prediction Diabetes and further the basic theory and working of Gold nanoparticles.

The repository contain code for building compiler using puthon.

Pytorch implementation of paper "Learning Co-segmentation by Segment Swapping for Retrieval and Discovery"

PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.

The openspoor package is intended to allow easy transformation between different geographical and topological systems commonly used in Dutch Railway

Official pytorch implementation of paper Dual-Level Collaborative Transformer for Image Captioning (AAAI 2021).

Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,

ZSL-KG is a general-purpose zero-shot learning framework with a novel transformer graph convolutional network (TrGCN) to learn class representation from common sense knowledge graphs.

Implementation for our ICCV 2021 paper: Dual-Camera Super-Resolution with Aligned Attention Modules

Face Recognition Attendance Project

This is the implementation of the paper "Self-supervised Outdoor Scene Relighting"

✅ How Robust are Fact Checking Systems on Colloquial Claims?. In NAACL-HLT, 2021.

WSDM2022 Challenge - Large scale temporal graph link prediction

This project provides an unsupervised framework for mining and tagging quality phrases on text corpora with pretrained language models (KDD'21).

Training DiffWave using variational method from Variational Diffusion Models.

Official code for "Stereo Waterdrop Removal with Row-wise Dilated Attention (IROS2021)"