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STT Language Model Customization tutorial

     Posted on: 2019-04-24

Language Model Customization tool (LMC) provides a way to improve the Speech To Text performance by creating customized language model. Language model is an important part of Phonexia Speech To Text. In a simplified way it can be imagined as a large dictionary with multiple statistics. The Speech To Text technology uses this dictionary and statistical model to convert audio signals into the proper text equivalents. Due to general diversity of spoken speech, the default generic language model may not acknowledge the importance of certain words over other words in certain situations. Language model customization is a way to inform the…

Phonexia End User License Agreement

     Posted on: 2019-02-27

Please read the terms and conditions of this End User License Agreement (the “Agreement”) carefully before you use the Phonexia proprietary software providing speech solutions, technologies and accompanying services (the “Software”) delivered and marketed by Phonexia s.r.o.

Phonexia technologies introduction

     Posted on: 2019-01-25

Core objective: Basic understanding of Phonexia speech technologies and products; typical use cases, implementations and deployment topologies Duration: 35 minutes intended for idea makers and product designers assumes generic knowledge of Phonexia and speech technologies in general Content 00:00 Introduction What information can we get from speech? Overview of basic use cases Phonexia Speech Platform brief 4:21 Phonexia technologies overview 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…

Error 1013: Unsupported: Server does not support authentication with token

     Posted on: 2018-12-10

Please check SPE subdirectory ./settings for configuration files. If only phxspe.browser.properties exists, then your Browser uses SPE as embedded component and set inside the file this directive: server.enable_authentication_token = false In that case you can still use SPE with Basic HTTP authentication, as described in documentation, section "Basic authentication" If you would like to play with "pure" daemon installation, then phxspe.properties file should exist in ./settings subdirectory. File phxspe.properties is created by phxadmin utility or can be created from ./data/phxspe.properties.default template file. Copy template file to ./settings directory Rename it to phxspe.properties Check for server.enable_authentication_token directive and setup it as…

Phonexia Voice Inspector EoL

     Posted on: 2018-07-19

Information about release dates, support and maintenance periods of Phonexia Voice Inspector.

SPE3 – Quick Start Guide

     Posted on: 2018-04-16

Do you want to run the SPE3 for the first time? This post can help you. Distribution, installation and configuration SPE is distributed by Phonexia in .zip archives. These are downloaded from Phonexia package manager using link provided by Phonexia employee. Installation is done by simple unzipping the content of the downloaded .zip archive to SPE installation folder. Configuration of SPE is done at two places. First is executable file ./phxadmin or .\phxadmin.exe serving to set file to configuration and license files configure speech technologies configure user accounts set up of few various setting Running the ./phxadmin or .\phxadmin.exe command…

Designing and Developing Application

     Posted on: 2018-04-15

Before designing and developing the application, we encourage Partner to find clear answer for the following questions: Customer requirements: Do my customers need file processing (audio) or stream processing in real time? What is the human power of the customer that can analyze the results? How many minutes per day or streams in parallel do my customer need to process? What are real benefits for customer (finding the needle in haystack, approaching new information, processing only few data with highest possible accuracy)? How the solution match the current processes and infrastructure of the customer? How many false alarms are acceptable…

Packages, Updates vs. Upgrades

     Posted on: 2018-04-15

Our packages follow the bug-fix /updates / upgrades approach. Some packages are distributed with limited set of speech technologies or without speech technologies. Packages Our software is distributed as ZIP file. Installation procedure is matter of unzipping archive, reconfiguration and start of software. SPE and VIN package contains speech technologies (note: SPE might contain only selected technologies).  PhxBrowser does not contain speech technologies and it needs to be combined with SPE. The software is activated by licensing file. Updates vs. Upgrades Bugfix By bugfix we understand a fix of known problem without changing components or technology models. Bugfix changes only…

Time Analysis

     Posted on: 2018-04-15

Time Analysis Extraction (TAE) by Phonexia extracts base information from dialogue in a recording, providing essential knowledge about conversation flow. That makes it easy to identify long reaction time, crosstalk, or responses of speakers in both channels. This technology is only meaningful when used on recordings with 2 channels. As an answer to the TAE technology, SPE returns a json/xml file. This file includes general information about the technology and details of the time analysis. The technology can work either with a closed recording or with a stream. Monologue Describes the statistics of a recording related to one channel. channel…

Age Estimation

     Posted on: 2018-04-12

Phonexia Age Estimation (AGE) estimates the age of a speaker from audio recording. The process of voiceprint extraction is similar to the extraction of SID, but as a result different features get extracted; therefore, the voiceprints extracted from AGE and SID are not mutually compatible. Technology Trained with emphasis on spontaneous telephony conversation The technology is language-, accent-, text-, and channel- independent Compatibility with the widest range of audio sources possible (applies channel compensation techniques): GSM/CDMA, 3G, VoIP, landlines, etc. Input Input format for processing: WAV or RAW (8 or 16 bits linear coding), A-law or Mu-law, PCM, 8kHz+ sampling…

VIN – Releases and Changelogs

     Posted on: 2018-04-08

Phonexia Voice Inspector (VIN) is developed as a desktop application for forensic speaker comparison. This page lists changes in VIN releases. Releases Changelogs Voice Inspector v4.0.0, BSAPI 3.23.0 - Dec 11 2019 - VIN is available with L4 technology model - Other technology models (S2, L2, L3, XL3) are no longer supported - Added Diarization Technology (available in waveform editor) - Population Sets structure changed - Reworked dialog for population set management - Added possibility to set type of estimation of the Target distribution - Using population set to estimate Target distribution allows 1:1 comparison - Bug fixes Voice Inspector…

Speech Analytics

     Posted on: 2018-04-06

Overview Phonexia Speech Analytics allows you to understand the  content of audio without having to listen to it. The results help both commercial entities and security/defense forces for immediate precise decision and response. The technologies reveal automatically WHAT content, TOPIC and KEY PHRASES are spoken, and many other metadata.   Speech Analytics - Typical Use-Cases Speech transcription is used in various application. Knowledge of content of whole call is bringing business value to the customer, comparing to listening the audio files by analytic or supervisor. Reading the text is also faster than listening the audio. Speech Analytics output is often…

Software Vetting

     Posted on: 2018-04-06

The purpose of this document is to help client to satisfy their high security standards during integration of Phonexia software to their critical infrastructure. The vetting ensures that Phonexia software is not dangerous to the client’s infrastructure in any way. It means there are no backdoors, viruses, worms, Trojan horses, spyware, adware, critical bugs, unwanted functionality, no information is sent outside the client’s infrastructure. Vetting context Speech technology is a very dynamic area with a very fast development. For example the speaker identification error rate decreases to half between each two evaluations organized by National Institute of Standards and Technology,…

Open Source Acknowledgement

     Posted on: 2018-04-06

This page collect information about Open Source code and licenses. You might be interested to ask your Phonexia contact what part of the page is relevant to your project. BSAPI 3 dependencies Name Version License Link type ADVobfuscator 1.1 link static boost 1.70 Boost License static botan 2.7.0 Simplified BSD static duktape 2.5.0 MIT static FLAC 1.3.2 BSD license static fmt 5.2.1 MIT static glibc - GNU LGPL dynamic (Linux) minizip 1.2.11 link static mkl 2019.1.144 ISSL static nowide 0.1.1 Boost License static Open Fst 1.6.9 Apache license static ogg 1.3.3 BSD license static onnxruntime 1.1.0 MIT static opus 1.2.1…

Voice Activity Detection – Essential

     Posted on: 2018-04-04

Phonexia Voice Activity Detection (VAD) identifies parts of audio recordings with speech content vs. nonspeech content. Technology Trained with emphasis on spontaneous telephony conversation The technology is language-, accent-, text-, and channel- independent Compatibility with the widest range of audio sources possible (applies channel compensation techniques): GSM/CDMA, 3G, VoIP, landlines, etc. Input Input format for processing: WAV or RAW (8 or 16 bits linear coding), A-law or Mu-law, PCM, 8kHz+ sampling Output Log file with processed information (speech vs. nonspeech segments) Segmentation The section Segmentation describes the results of VAD, which are segments of detected voice and silence. Segments are…

Speech Quality Estimator – Essential

     Posted on: 2018-04-04

Phonexia’s Speech Quality Estimator quantifies the acoustic quality of recordings. This helps the user to quickly determine whether the acoustic quality of a recording is good for processing with other speech technologies or not. As an answer for SQE, the SPE returns a json/xml file. This file includes general information about the technology and statistics of all (one or two) channels. The statistics of all channels include the numbers for many aspects of recording quality, and the overall global score. Technology The technology is language-, accent-, text-, and channel- independent Compatibility with the widest range of audio sources possible (applies…

Keyword pronunciation

     Posted on: 2018-04-04

Pronunciation of the keyword(s) is generated automatically (G2P, grapheme to phoneme)  or produced from the lexicon of known words (“lexicon”) or converted from audio (phoneme transcription). It can be edited manually for each word (Phonexia do not limit the number of pronunciations per keywords/phrases).

Product Portfolio

     Posted on: 2018-04-02

Phonexia Speech Platform is an umbrella concept for all Phonexia’s products and services related to speech technologies. It gives us the ability to customize various products to a wide range of customer needs. Platform Edition is an encapsulation of specific setup of speech technologies, modules, applications, utilities and services designed for a specific market segment. We distinguish Speech Analytics (SAL) and Voice Biometrics (VBS) as most common domain of usage. It is also a tool for marketing and sales. Voice Biometrics is focused more on identifying speaker, gender, language spoken and more. Speech Analytics focuses on gathering information about content…

Phonexia Voice Inspector v3

     Posted on: 2018-04-02

About Phonexia Voice Inspector v3 (VIN3) provides police forces and forensic experts with a highly accurate speaker identification tool during investigation of criminal matters. It uses the power of voice biometry to automatically recognize speakers by their voice. Main features of the VIN3 application: Automatic speaker identification tool to strengthen results of the standard linguistics- and phonetics-based approach Scoring in Likelihood Ratio (LR) – result from a statistical test for a comparison of two hypotheses. The system returns a number from the interval <0, +∞>, which expresses how many times more likely the data are under one hypothesis than the…