Search Results for: iVEctor

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iVector

Relevance: 100%      Posted on: 2018-02-01

iVector – Unique value representing specific group of voice tracks. Consist of 600 values, usually lowered to low dimensional vector (200 values)

Get better support

Relevance: 9%      Posted on: 2017-05-19

This page highlights advices based on the previous experience. If you have any suggestions or correction regarding the innovation of the tech support, please let us know. The Frequently asked questions and Lifetime Support Policies sections prepared for you on Partner Portal could also be of interest to you. Any errors should be tested on the latest version of the product. Please ask your Phonexia contact for a link to download the latest version.   Before submitting issue/ticket... Any errors should be tested on the latest version of the product. Please ask your Phonexia contact for a link to download…

Terminology

Relevance: 9%      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…

Language Identification (LID)

Relevance: 9%      Posted on: 2019-05-20

Phonexia Language Identification (LID) will help you distinguish the spoken language or dialect. It will enable your system to automatically route valuable calls to your experts in the given language or to send them to other software for analysis. Phonexia uses state-of-the-art language identification (LID) technology based on iVectors that were introduced by NIST (National Institute of Standards and Technology, USA) during the 2010 evaluations. The technology is independent on any text, language, dialect, or channel. This highly accurate technology uses the power of voice biometrics to automatically recognize spoken language. Application areas Preselecting multilingual sources and routing audio streams/files…

VP

Relevance: 9%      Posted on: 2018-02-01

Voice Print – output from spoken speech extraction process of SID. Unique mathematical representation of the specific speaker or recording is created in form of the iVector (for SID generation 3) or xVector (Deep Embeddings for SID generation 4).