Search Results for: lid models

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LID adaptation

Relevance: 100%      Posted on: 2021-03-02

This article describes various ways of Language Identification adaptation. Basic terminology Languageprint (*.lp file) – numeric representation of the audio, extracted from audio file for language identification purpose of (similar to “voiceprint”, but representing the spoken language, not the speaking person) Languageprint archive (*.lpa file) – multiple languageprints combined into single archive Creation of languageprint archives is not supported by SPE, these are supported as input only.   Language model – digital characteristics of a specific language Language model can be trained from languageprints (*.lp), language prints archives (*.lpa), or from combination of both. LID language model should not be…

Phonexia technology models EoL

Relevance: 92%      Posted on: 2018-07-11

Information about release dates, support and maintenance periods of Phonexia technology models.

SPE3 – Releases and Changelogs

Relevance: 67%      Posted on: 2021-05-03

Speech Engine (SPE) is developed as RESTfull API on top of Phonexia BSAPI. SPE was formerly known as BSAPI-rest (up to v2.x) or as Phonexia Server (up to v3.2.x). Releases Changelogs Speech Engine 3.40.2, DB v1700, BSAPI 3.40.2 (2021-04-30) Public release Fixed: LMC does not work with CS_CZ_6 online (stream) configuration Fixed: Sample rate in Opus files is incorrect Fixed: Various "[ERRFMT]" log messages fixes Speech Engine 3.40.1, DB v1700, BSAPI 3.40.1 (2021-04-16) Public release Fixed: 6th generation STT/KWS stream result may start with words from end of previous stream Fixed: Some licensing error messages are not shown in log…

Language Identification (LID)

Relevance: 55%      Posted on: 2021-02-25

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. Application areas Preselecting multilingual sources and routing audio streams/files to language dependent technologies (transcribing, indexing, etc.) Analyzing network traffic media (language statistics) Routing particular calls (languages) to human operators (language experts) Recognized languages Languages pre-trained in default language pack are listed in the table below, each LID generation is separate column (in the 4th generation we switched to using language tags…

Arabic dialects in Phonexia LID and STT

Relevance: 52%      Posted on: 2021-01-18

Arabic language has (a) one standardised variety, and (b) many non-standard varieties (dialects). In this article, our linguistic team explains differences between Modern Standard Arabic and Arabic dialects in the context of Phonexia Arabic models. Standard variety:  Modern Standard Arabic (MSA) All Arabs learn it at school (not from their parents, so we cannot say it is their native variety) It is lingua franca (common language) for the Arabic world – like English for Europeans; however, Arabs speak it much better since they are schooled in MSA from early age MSA is more similar to some dialects (e.g. Levantine), but…

Q: How can I add new language to LID?

Relevance: 42%      Posted on: 2017-06-27

A: There are multiple methods to train a new language, please see article in Components > Speech Technologies > LID.

Q: Please give me a recommendation for LID adaptation set.

Relevance: 40%      Posted on: 2017-06-27

A: The following is recommended: For adding new language to language pack 20+ hours of audio for each new language model (or 25+ hours of audio containing 80% of speech) Only 1 language per record For adapting the existing language model (discriminative training) 10+ hours of audio for each language May be done on customer site. May be done in Phonexia using anonymized data (= language-prints extracted from a .wav audio)

LID

Relevance: 40%      Posted on: 2018-02-01

Phonexia Language Identification, multiple generations available marked by version like LIDv2 or LIDv3

Browser3 – Releases and Changelogs

Relevance: 26%      Posted on: 2021-05-04

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 3.40.2, BSAPI 3.40.2 (2021-05-04) Public release Fixed: Sample rate in opus files is incorrect Phonexia Browser 3.40.1, BSAPI 3.40.1 (2021-04-20) Public release Fixed: Cursor showing values in DET plot may skip some values Fixed: Some licensing error messages are not shown in log Phonexia Browser 3.40.0, BSAPI 3.40.0 (2021-03-26) Public release New: Compatibility with SPE 3.40 Changed: Using new licensing system under…