Search Results for: vin4

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Voice Inspector – Interpretation of results

Relevance: 100%      Posted on: 2019-06-24

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…

Components and Tools

Relevance: 50%      Posted on: 2017-05-18

This section collect information about specific components and tools of our Speech Platform.   API RESTfull API - Phonexia Speech Engine v3 (SPE3) - recommended   Apps and Tools Phonexia Browser v3 (Browser3) Voice Inspector v4 (VIN4) Voice Inspector v3 (VIN3)   You might be interested to see also Product Portfolio or End of Life Components & Tools. You might also browse our product support lifecycle policy to see which of our versions are supported and maintained.

Voice Inspector – supporting technologies

Relevance: 50%      Posted on: 2019-06-28

Automatic Speaker Identification (SID) is the most important but not the only Phonexia technology that is implemented in Voice Inspector (VIN). Apart from SID, forensic experts, users of VIN, can benefit from automatic Signal-to-Noise Ratio calculation, Voice Activity detection, Phoneme search, and a Wave editor which incorporates the waveform, spectrum and power panel. Let's have a look on how to utilize individual technologies. Signal-to-Noise Ratio Recording quality can strongly influence the reliability of SID results and so the outcome of a forensic case. Therefore, VIN uses a module of Phonexia Speech Quality Estimation (SQE) to calculate the Signal-to-Noise Ratio (SNR)…