Search Results for: partner program

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Measuring of a software processing speed – what is the FtRT (Faster than Real Time)

Relevance: 3%      Posted on: 2019-10-30

Faster Than Real Time (FTRT) is metrics developed for defining software performance reference point. Using this metric you can collect "benchmark" data of real processing speed for reviewed software, which should be found - and reproduced - on exactly defined HW. Then, comparing various benchmarks result, you can compare performance of the specified software and its parts on different HW configurations. And vice versa - using the same metric you can compare software from different vendors on the same HW configuration and for the same processing task. We are recognizing two measurable metrics: Recording based FTRT is calculated from real…

Phonexia – introduction

Relevance: 3%      Posted on: 2018-03-14

What we believe in At Phonexia, we find joy in pushing the boundaries of innovation in the field of speech technology by automating and simplifying solutions for many of today’s complex communication and security-strategic challenges. By providing our partners and customers with state-of-the art speech-technology software, we leverage the power, and data, in their voices. Who we are Phonexia is the only speech technology software manufacturer that reveals and leverages the most data in speech for enterprising trailblazers across the globe who want to discover and develop powerful new skills in a knowledge-based economy. We have more than 19 years…

Phonexia End User License Agreement

Relevance: 3%      Posted on: 2019-02-27

Please read the terms and conditions of this End User License Agreement (the “Agreement”) carefully before you use the Phonexia proprietary software providing speech solutions, technologies and accompanying services (the “Software”) delivered and marketed by Phonexia s.r.o.

Speech To Text

Relevance: 3%      Posted on: 2019-05-27

Phonexia Speech To Text – also known as a voice-to-text or speech recognition – converts speech signals into plain text. After the conversion, text can be easily read, edited, searched, processed by text-based data mining tools or archived. Phonexia Speech To Text is optimized for noisy recordings and colloquial speech, can process audio files as well as audio streams and can provide results in several output formats. Typical use cases look for specific information in large call archives (e.g., claims inspection) get additional value by advanced analysis of call traffic (e.g., topic detection) maintain short reaction times by routing calls…

SPE3 – Administration and Backup

Relevance: 3%      Posted on: 2018-04-15

Each Partner has its own administration and back up policy. Here, we highlight the most important SPE3 components to be administrated and backed up. Administration It is strongly recommended to describe your own administration approach with the following components SPE users (accounts) - Partner should maintain list of SPE users (accounts). There should be only few persons with “admin” role. All other should be with “user” role (do not see content of other “user”) and/or “vbs” role (dis/enables using of VoiceBiometry plugin) the SPE database and/or VBSplugin database administration – where the (temporary) results are stored user.home - where the…

Designing and Developing Application

Relevance: 3%      Posted on: 2018-04-15

Before designing and developing the application, we encourage Partner to find clear answer for the following questions: Customer requirements: Do my customers need file processing (audio) or stream processing in real time? What is the human power of the customer that can analyze the results? How many minutes per day or streams in parallel do my customer need to process? What are real benefits for customer (finding the needle in haystack, approaching new information, processing only few data with highest possible accuracy)? How the solution match the current processes and infrastructure of the customer? How many false alarms are acceptable…

Keyword Spotting results explained

Relevance: 3%      Posted on: 2019-06-12

This article aims on giving more details about Keyword Spotting outputs and hints on how to tailor Keyword Spotting to suit best your needs. Scoring Keyword Spotting works by calculating likelihoods that at a given spot occurs a keyword or just any other speech, and comparing those two likelihoods. The following scheme shows Background model for anything before the keyword (1), the Keyword model (2) and a Background model of any speech parallel with the keyword model (3). Models 2 and 3 produce two likelihoods – Lkw and Lbg (any speech = background). Raw score is calculated as log likelihood…

Terminology

Relevance: 3%      Posted on: 2017-06-15

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…

End of Life Components

Relevance: 3%      Posted on: 2017-05-18

This section archive information about products, components and tools, we closed distribution and active technical support. End of Life Products & Tools: Speech Intelligence Resolver v1 (SIR1) Voice Inspector v1 (VIN1) API for C++ (BSAPI2)   You might also browse our product support lifecycle policy to see which of our versions are supported and maintained.

Phonexia Voice Inspector v3

Relevance: 3%      Posted on: 2021-04-09

About Phonexia Voice Inspector v3 (VIN3) 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 VIN3 application: Automatic speaker identification tool to strengthen results of the standard linguistics- and phonetics-based approach Scoring in Likelihood Ratio (LR) – result from a statistical test for a comparison of two hypotheses. The system returns a number from the interval <0, +∞>, which expresses how many times more likely the data are under one hypothesis than the…