…numbers conversion is based on set of grammar rules, describing how the conversion should work. Conversion rules are stored in numeric.pegjs file, located in grm subdirectory inside the STT model directory. For example: in Czech 6th generation STT it’s located in {SPE_directory}/bsapi/stt/data/models_cs_cz_6/grm in Spanish 6th generation STT it’s located in {SPE_directory}/bsapi/stt/data/models_es_6/grm Can it be extended or tuned? You can edit…
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…‘slides’ through the file very quickly as it cannot find anything known in it). The czech directory is included as an example (well… the STT/PHNREC models were renamed some time ago to cs_cz*, so the name czech does not actually match anymore…). Tuning the recordings sets You can tune – or hack, if you want – the sets provided with…
…Standard Turkish (Turkey) TR_TR_6 2022-01 8th gen. Standard Ukrainian (Ukraine) UK_UA_6 2023-04 8th gen. Standard Vietnamese (Vietnam) VI_VN_6 2021-10 8th gen. Standard Deprecated languages/models (not supported, after end-of-life) Older/other languages or models not listed in the above table are no longer supported and reached end-of-life. These are 1st, 2nd, 3rd or 4th generation models, typically marked with a number 1,…
…the Phonexia sales representative. Phonexia Voice Inspector 5.0 brings a Speaker Identification model XL5, that provides more accurate results for telephony data in comparison with previous generations of Speaker Identification models such as SID4 XL4. Users can observe that the SID4 XL5 model returns different values of LLR scores which are used for evidence calculation. Therefore Speaker Identification score distribution…
Preferred phrases is a feature, available for 5th or newer generation of STT models and Speech Engine 3.32 or later. 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 similarly sounding words get confused,…
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)…
…not visible by SPE and by the account. Similar trickery can be done with the data directory, allowing to share LID language models and language packs, or SID speaker models, etc. between accounts. User accounts management SPE user accounts can be managed using REST API (see Administration section of the API documentation), or using command line administration utilities phxadmin or…
…main binary file itself SPE requires database, which might be SQLite (delivered inside Phonexia package) or MySQL. No other components are needed. Structure of Technologies and technology models From the technical point of view, every technology can work with different technology modules. These are various languages for STT (CS_CZ4, EN_US4), or various sizes for SID (L3, XL3). Technology can work…
…Phonexia’s hw-gen for generating basic HW print Windows 64bit http://download.phonexia.com/utils/hw-gen64.exe GNU/Linux 64bit http://download.phonexia.com/utils/hw-gen64 System Information Windows OS: msinfo32.exe Linux OS: sudo lshw -short or similar utility The database used and the version The versions of technology models (data) and product (SPE build, SAL build) WAV file, iVector, or technology output file that might be causing the failure (if possible) …
…Routing particular calls (languages) to human operators (language experts) Scoring and results The LID language pack defines a set of recognizable languages (represented by a language models). When identifying the language in audio recording (or languageprint), LID does the following: creates languageprint of the recording (if the input is audio recording) compares that languageprint with each language model in a…
A: These abbreviations mean the following: LR – likelihood ratio, result from statistical test for two models comparison. It returns a number which expresses how many times more likely the data are under one model than the other. LR meets numbers in interval <0;+inf). LLR – abbreviation for log-likelihood ratio statistic, logarithmic function of LR. LLR meets numbers in interval…
…happen if the initialization of SPE engine takes too long. Phonexia Browser software treats it as initialization failure and kills the server. You can fix this by doing the following: Increase timeout in Settings > Speech Engine tab > First connection timeout Use fewer instances of technologies, thus letting the Speech Engine to start faster Use smaller models of technologies…
…only English models for Speech To Text and Keyword Spotting. Additional supported languages are available upon request. ⓘ Click to show/hide the package content Speech Engine – technologies included: Speech To Text (STT) – model EN_US_6 (US English) Keyword Spotting (KWS) – model EN_US_6 (US English) Phoneme Recognizer (PHNREC) – model EN_US_6 (US English) Speaker Identification 4 (SID4) – model…
Best practices for good sizing of Phonexia technologies depend on a few facts: Intense work with large data sets requires good performance and bandwidth between RAM and CPU. It all depends on the size of the files with technological models data, usually loaded into RAM and used intensively for computing operations Always think only about physical cores of CPU (HT,…
…generation of XL3 and L3 models) Output scoring: log-likelihood ratio (LLR) and score (0-1). Score can be interpreted as percentage by multiplying the score by 100. Typical use cases: filtering calls by gender, playing advertisement focused on specific gender, getting quick demographic analysis of the recordings. The speed of Gender Identification is up to 150 FtRT (depending on the model)….