Phonexia Speaker Identification is a voice biometry tool for recognition of speakers by their voice. In this video, we will show you how to start using this technology! You will learn how to create a "Speaker Model" to identify a speaker in a set of data. Ready to test it? Start with our video: What else is needed? 1. Phonexia Evaluation Package Evaluation package (download page) is consisting of Phonexia Browser and Phonexia Speech Engine including all necessary technologies. 2. Data We prepared the dataset for your testing. Package contains data for speaker model creation and speaker spotting too. The…
We can prepare a testing package for you, basic duration 90 days, full functionality, NET license based (needs the Internet connection to register itself on the server).
This page collect information about Open Source code and licenses. You might be interested to ask your Phonexia contact what part of the page is relevant to your project. Phonexia Voice Verify dependencies Name Version License Django 2.1.11 BSD Jinja2 2.11.2 BSD-3-Clause MarkupSafe 1.1.1 BSD-3-Clause Pygments 2.6.1 BSD License beautifulsoup4 4.9.1 MIT behave 1.2.6 BSD behave-django 1.4.0 MIT certifi 2020.6.20 MPL-2.0 chardet 3.0.4 LGPL coreapi 2.3.3 BSD coreschema 0.0.4 BSD defusedxml 0.6.0 PSFL django-allauth 0.39.1 MIT django-constance 2.7.0 BSD django-cors-headers 3.4.0 MIT License django-environ 0.4.5 MIT django-extra-fields 2.0.5 Apache-2.0 django-picklefield 3.0.1 MIT django-rest-auth 0.9.3 MIT djangorestframework 3.9.1 BSD docker 4.2.2 …
Phonexia Browser v3 (Browser3) is developed as client on top of Phonexia Speech Engine v3. Phonexia Browser is a successor of Phonexia Speech Intelligence Resolver v1 (SIR1). This page lists changes in Browser releases. Releases Changelogs Phonexia Browser 3.40.4, BSAPI 3.40.4 (2021-06-10) Public release Changed: SID Evaluator - do not interrupt processing when an error occurs, but view all errors and continue creating the evaluation set Fixed: SID Evaluator - invalid GID score values Fixed: SID Evaluator - missing SQE information in report Fixed: SID Evaluator - don't save disabled recordings to evaluation set Phonexia Browser 3.40.3, BSAPI 3.40.4 (2021-05-28)…
Document which briefly describes processes and relations in Phonexia Technologies with consideration on correct word usage. SID - Speaker Identification Technology (about SID technology) which recognize the speaker in the audio based on the input data (usually database of voiceprints). XL3, L3,L2,S2 - Technology models of SID. Speaker enrollment - Process, where the speaker model is created (usually new record in the voiceprint database). Speaker model: 1/ should reach recommended minimums (net speech, audio quality), 2/ should be made with more net speech and thus be more robust. The test recordings (payload) are then compared to the model (see…
Speaker Identification (SID) Results Enhancement is a process that adjusts the score threshold for detecting/rejecting speakers by removing the effect of speech length and audio quality. This is achieved by use of Audio Source Profiles, that represent as closely as possible the source of the speech recording (device, acoustic channel, distance from microphone, language, gender, etc.). Although the out-of-the-box system is robust in such factors, several result enhancement procedures can provide even better results and stronger evidence. Audio Source Profile An Audio Source Profile is a representation of the speech source, e.g., device, acoustic channel, distance from microphone, language, gender,…
Phonexia Partner Program for Government Partners This partnership program rewards partners in the government sector for selling and integrating the Phonexia’s speech recognition and voice biometrics product portfolio. Program Enrollment If you aspire to becoming a Phonexia partner, you can enroll into the Phonexia Partner Program and complete a three-month onboarding period. During this period, you will enjoy the same partnership benefits as our Silver partners. Your assigned Phonexia Account Manager will take you through all necessary legal documents, highlight every business aspect of our cooperation, and organize two calls with a pre-sales person to ensure that you understand the…
About Phonexia Voice Inspector (VIN) provides police forces and forensic experts with a highly accurate speaker identification tool during investigation of criminal matters. It uses the power of voice biometry to automatically recognize speakers by their voice. Main features of the VIN application: Automatic speaker identification tool to strengthen results of the standard phonetics-based approaches Scoring in likelihood ratio (LR) – Result from statistical test for two models comparison. It gives back number which expresses how many times more likely the data are under one model than the other. LnLR or LogLR meets numbers in interval <-∞;+∞>...), and verbal presentation…
Do you want to run the SPE3 for the first time? This post can help you. Distribution, installation and configuration SPE is distributed by Phonexia in .zip archives. These are downloaded from Phonexia package manager using link provided by Phonexia employee. Installation is done by simple unzipping the content of the downloaded .zip archive to SPE installation folder. Configuration of SPE is done at two places. First is executable file ./phxadmin or .\phxadmin.exe serving to set file to configuration and license files configure speech technologies configure user accounts set up of few various setting Running the ./phxadmin or .\phxadmin.exe command…
Introduction Phonexia Voice Inspector (VIN) is a tool for forensic automatic speaker identification, compliant with the Methodological Guidelines for Best Practice in Forensic Semiautomatic and Automatic Speaker Recognition, published by the European Network of Forensic Science Institutes. This post explains individual SID score types and ways to visualize the results in a speaker identification case implemented in Voice Inspector. Evidence In VIN, the term evidence has two meanings. In general, it refers to any SID score that the system calculates for any pair of recordings in the case. These scores are the output of the Phonexia SID technology which runs…
