Unduh Audio Forensic Analysis - v13

Anda pernah mendengar tentang Audio Forensic Analysis - v13, atau Andu Elearning, Dr. Najeeb Lectures Mod APK v1.0.13 MOD APK, LingoDeer v2.99.137 APK + MOD (Premium Tidak terkunci) MOD APK, Miga Town: My World (MOD, All Map Tidak terkunci) MOD APK, Simulacro MTC ? Examen de Reglas de Tránsito 2021, Pydroid 3 IDE for Python 3 Premium APK v3.02 MOD APK, salah satu Aplikasi paling keren di kategori Pendidikan.

Dan tentu saja Anda tahu bahwa, tidak semua game atau aplikasi kompatibel untuk semua ponsel. Game atau aplikasi terkadang tidak tersedia di perangkat Anda, itu tergantung pada versi sistem. Sistem operasi Android, resolusi layar, atau negara yang diizinkan aksesnya oleh Google Play. Itulah sebabnya APKPanda menyediakan file APK Android untuk Anda unduh dan tidak mematuhi batasan ini.>
Audio Forensic Analysis - v13 versi terbaru adalah 13, tanggal rilis 2020-08-02, dan memiliki ukuran 3.5 MB.Dikembangkan oleh SmilesLab, Audio Forensic Analysis - v13 memerlukan versi Android setidaknya Android 7.1+. Oleh karena itu, Anda harus memperbarui ponsel Anda jika perlu.

Cukup banyak dimuat, tentang 1000 unduhan. Anda dapat memperbarui aplikasi yang telah diunduh atau dipasang satu per satu pada perangkat Android Anda jika Anda mau. Memperbarui aplikasi memberi Anda izin akses ke fitur-fitur terbaru dan meningkatkan keamanan dan stabilitas aplikasi.

Research Study to Develop Datasets for Benchmarking

IMPORTANT CHANGES

- The app is only open to university students so you will need an EDU email address to sign up, effective immediately.
- The $20 gift card will be emailed to your registered email address within 7-14 days after verifying the submitted audio files.

Audio Forensic Analysis Tools

Funded by National Science Foundation and approved by Institutional Review Board of
Oakland University and University of Michigan, this study aims to assist in developing
platform to detect digital forgery detection (e.g. deep fake).

What is this research study About?

The goal of this study is to develop a database for researchers to access in order to
evaluate existing and create new audio forensic algorithms. Forensic algorithms can
help scientists and law enforcement officials identify instances of digital forgery (e.g.
deep fake). To achieve this goal, we seek to collect audio data (background noise or
human speech samples) from a diverse set of adult participants using different types of
smart phones using Audio Forensic Analysis App. We developed our Audio Forensic
Analysis App for two main mobile phone platforms iOS and Android. Study participants
can download our Audio Forensic Analysis App from App Store (iPhone/iPad), Google
Play (Android), and project webpage.

To participate in this important scientific project, install the “Audio Forensic” application
on your smart phone. In case, you need further assistance to install the application, see
following help page: http://www.secs.oakland.edu/~Mahmood/apps/install.html
Installed app will be used for uploading audios to our secure database server.
Recordings can be pre-recorded audio files from the cell phone or new audio
recordings. Participants are highly encouraged to record samples in different ambience
(different noise level in surroundings) settings and can consist of environment sounds or
human speech without any personal identifying information.

Compensation

Data collection will take about 45 min to record and upload the 8 audio files each 5
minutes in length. After 7-14 days upon completion participants will receive a one-time compensation in the form of a $20 electronic gift card.

Who can participate?

Participants in the research should meet following criteria:
- Can speak English. To have diverse collection of audios, native English
speakers, minorities and international students are encouraged to participate.
- Only currently enrolled university students who are 18 years of age or older can participate.
- Minimum of high school education is required to participate in this study.
- Both male and female students are encouraged to participate in this study.
- Resides in the US

To ask questions please contact: Khalid Mahmood Malik, PhD

Department of Computer Science and Engineering

532 EC 115 Library Drive
Rochester MI 48309-4479
(248) 370-3542 (Direct Line) 
Email: [email protected]

Bug fixes