डाउनलोड Audio Forensic Analysis - v13

आपने Audio Forensic Analysis - v13, या Pydroid 3 IDE for Python 3 Premium APK v3.02 MOD APK, WordUp Vocabulary, HSK Online — HSK Study and Exams, Dr. Najeeb Lectures Mod APK v1.0.13 MOD APK, Words Booster: Learn Languages, Miga Town: My World (MOD, All Map अनलॉक किया) MOD APK, श्रेणी शिक्षा के सबसे अच्छे ऐप्स में से एक के बारे में सुना है।

और निश्चित रूप से आप जानते हैं कि, सभी गेम या एप्लिकेशन सभी फोन के लिए संगत नहीं हैं। गेम या एप्लिकेशन कभी-कभी आपके डिवाइस पर उपलब्ध नहीं होता है, यह सिस्टम के संस्करण पर निर्भर करता है। एंड्रॉइड ऑपरेटिंग सिस्टम, स्क्रीन रिज़ॉल्यूशन, या देश। Google Play एक्सेस की अनुमति देता है। यही कारण है कि APKPanda आपको डाउनलोड करने के लिए Android APK फ़ाइलें प्रदान करता है और इन प्रतिबंधों से चिपकता नहीं है।Audio Forensic Analysis - v13 नवीनतम संस्करण 13, रिलीज की तारीख 2020-08-02 है, और इसका आकार 3.5 MB है।SmilesLab द्वारा विकसित, Audio Forensic Analysis - v13 को कम से कम Android 7.1+ Android संस्करण की आवश्यकता होती है। इसलिए यदि आवश्यक हो तो आपको अपना फ़ोन अपडेट करना होगा।

बहुत अधिक लोड, 1000 डाउनलोड के बारे में। यदि आप चाहें तो आप उन ऐप को अपडेट कर सकते हैं जिन्हें आपके एंड्रॉइड डिवाइस पर व्यक्तिगत रूप से डाउनलोड या इंस्टॉल किया गया है। आपके ऐप को अपडेट करने से आप नवीनतम सुविधाओं तक पहुंच प्राप्त कर सकते हैं और एप्लिकेशन सुरक्षा और स्थिरता में सुधार कर सकते हैं।

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