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Manuals

This section collects links or locations of manuals for specific Phonexia Speech Platform components. API Phonexia Speech Engine REST API – SPE – latest version manual online (api_reference.html for your version is located in doc subdirectory in SPE folder or distribution ZIP) Brno Speech Application Interface v3 – BSAPI3 – latest version manual online Applications and Tools Phonexia Browser –…

Get better support

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 the latest version. For each issue, please collect the following…

Language Identification (LID)

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 files to language-dependent technologies (transcribing, indexing, etc.) Analyzing network traffic media (language statistics)…

Q: What do LLR, LR and score mean?

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…

Sizing of the computing units for speech technologies

…fixes on TLB due to Meltdown and Spectre issues matters in performance. Important notice (valid for SPE3) – due to internal SPE3 requirements you must multiple the required number of licenses for the following technologies as follows: LID_license_no=<no_of_planned_instances>*2 SID_license_no=<no_of_planned_instances>*3 In case you need more instances for hot-load testing of Phonexia technologies, please contact your Sales Representative from Phonexia Sales Department….

Understand SPE configuration

…of MySQL database connections at the time. Default is 32 # server.db.mysql.max_connections = 32 # Maximum size of in-memory cache for calibrated voice-prints of speaker models. Default is 100 # server.db.sid_model_calib_vp_cache_size = 100 Sizing of the system The selection of speech technologies and the number of instances per technology which are instantiated when starting the SPE is configured by the…

Age Estimation (AGE)

…coding), A-law or Mu-law, PCM, 8kHz+ sampling Voiceprints: AGE L4 model supports SID4 L4 voiceprints; legacy AGE models support voiceprints created by AGE itself Output Log file with processed information (age estimate) Processing speed Approx. 20x faster than real-time processing on 1 CPU core i.e. standard 8 CPU core server processes 3,840 hours of audio in 1 day of computing…

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Phonexia technologies introduction

…and their usages Filtering and supporting technologies 04:32 Speech Quality Estimation (SQE) 05:27 Voice Activity Detection (VAD) 06:37 Diarization (DIAR) 07:41 Age Estimation (AGE) 08:14 Waveform Denoiser Voice Biometrics technologies 08:56 Speaker Identification (SID) 10:18 Language Identification (LID) 11:10 Gender Identification (GID) Speech Analytics technologies 11:43 Speech Transcription (STT) 12:30 Keyword Spotting (KWS) 13:32 Phoneme Recognition (PHNREC) 13:54 Time Analysis…

Video – Getting started with SPE

MODULE 1: Getting started with Speech Engine (19 min) Installation Technologies configuration Server and database configuration Users configuration Files processing Synchronous and asynchronous requests, results polling Stream processing https://youtu.be/4qrB-GfFdWY…

KWS: Results explained

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 likelihood ratios (LR) that at a given spot occurs a keyword or just any other speech, and comparing those two likelihood ratios. The following scheme shows Background model for anything…