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LID adaptation

     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…

SPE3 – Releases and Changelogs

     Posted on: 2021-02-26

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 3.38.0, DB v1700, BSAPI 3.38.0 (2021-02-25) Non-public Feature Preview release New: Training of LID Language Packs (no more need for command line tools... finally!) New: LID Language Packs allow to store meta-files New: New entity "LID Language Model" (equivalent of *.lpa LanguagePrint Archive) Improved: Updated STT model RU_RU_A to version 4.6.0 of (updated language model) Removed: Support for RLS-enforced licences in command line applications Removed: FeaturePasterRepeat warning…

Language Identification (LID)

     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…

Speech Engine configuration file explained

     Posted on: 2021-02-19

In this article we explain details of the Speech Engine configuration file phxspe.properties, located in settings subdirectory in SPE installation location. Settings in this configuration file affect the Speech Engine behavior and performance. The configuration file is usually created after SPE installation – on first use of phxadmin, a default configuration filephxspe.properties is created in the settings directory. The file is loaded during SPE startup, i.e. you need to restart SPE to apply any changes made in the file. If Speech Engine is used together with Phonexia Browser in so-called "embedded" mode (see details about "embedded SPE" mode in Browser…

Arabic dialects in Phonexia LID and STT

     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…

What are STT preferred phrases and how to use them

     Posted on: 2020-11-26

Speech Engine version 3.32 and later includes new STT feature called Preferred phrases. This article explains what is the feature good for, how does it work internally and gives some tips for practical implementation. What are preferred phrases In the speech transcription tasks, there may be situations where similar sounding words get confused, e.g. "WiFi" vs. "HiFi", "route" vs. "root", "cell" vs. "sell", etc. Normally, the language model part of the Speech To Text does its job here and in the context of longer phrase or entire sentence prefers the correct word:  ×    I'm going to cell my car. Hmmm, such…

Speech Engine 3.35.3

     Posted on: 2020-11-24

Speech Engine 3.35.3, DB v1601, BSAPI 3.35.3 (2020-11-24) New Internal support for SAMPA phonetic alphabet Updated STT model RU_RU_A to version 4.5.0 of (updated language model) Updated STT/KWS/PHNREC model AR_XL to version 5.2.0 (updated language model, changed phonemes notation to X-SAMPA) Fixed Cannot create new output stream due to hanging unfinished tasks Task is not removed from pool when result is delivered via Webhook Some log messages contain format placeholder instead of numbers Missing <silence/> label in STT confusion network output STT confusion network contains <silence/> tags with confidence greater than 1.0 Diarization crashes during processing Diarization XL4 crashes on…

Speech Engine and technologies, instances, workers… explained

     Posted on: 2020-11-19

Configuring Speech Engine to utilize effectively the full power of underlying hardware can get challenging – one can easily get lost in all the strange terms like technologies, instances, slots, or workers... This article should shed some light in it. Speech Engine is like post office Thinking about Speech Engine, there is actually a very nice analogy with post office (or bank branch): Post office is a place providing different kinds of services – one can go there to send letters, send or pick up packages, get a POBox, get some financial services, insurance, etc.).   Speech Engine has various…

Phonexia Speech Engine

     Posted on: 2020-11-19

About Phonexia Speech Engine v3 (SPE3) is a main executive part of the Phonexia Speech Platform. It is a server application with REST API interface through which you can access all available speech technologies. Both, Linux 64bit and Windows 64bit operating systems are supported. Phonexia Speech Engine (SPE3) is adjustable server component which houses all speech technologies. SPE3 provides RESTfull application programming interface to access various technologies. Aside from technologies themselves the SPE has implemented other various functionality supporting work with speech technologies, recordings and streams, and others. Features Main purpose of SPE is to work as processing unit for…