Search Results for: sqe

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Browser3 – Releases and Changelogs

     Posted on: 2020-07-08

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 v3.31.1, BSAPI 3.31.0 - Jul 08 2020 Non-public Feature Preview release New: Browser now requires CentOS 7 or other Linux based OS with glibc >= 2.17 Version 3.31.0 was skipped Phonexia Browser v3.30.8, BSAPI 3.30.8 - Jun 29 2020 Public release Fixed: SID Evaluator - folder selection dialog does not allow to select existing folder Fixed: SID Evaluator - button "Display chart" can…

SPE3 – Releases and Changelogs

     Posted on: 2020-07-02

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). This page lists changes in SPE releases. Releases Changelogs Speech Engine 3.31.1 (07/02/2020) - DB v1500, BSAPI 3.31.0 Non-public Feature Preview release Fixed: SQLite database update from version v1401 fails Speech Engine 3.31.0 (07/01/2020) - DB v1500, BSAPI 3.31.0 Non-public Feature Preview release New: SPE now requires CentOS 7 or other Linux based OS with glibc >= 2.17 New: Added instructions for updating SPE (see doc/UPDATE.txt file) New: Added new LID…

Technical Training Essentials

     Posted on: 2019-09-27

Core objective: Understanding technical essentials of using Phonexia technologies and products Duration: ~94 minutes (7 + 19 + 22 + 23 + 23 min chapters) intended for product architects or developers assumes you have already watched Phonexia technologies introduction video assumes understanding of working in command line REST API principles processing JSON or XML Introduction (7 min) technologies recap CLI, REST and GUI interfaces overview 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 MODULE 2: Filtering and supporting…

Voice Inspector – supporting technologies

     Posted on: 2019-06-28

Automatic Speaker Identification (SID) is the most important but not the only Phonexia technology that is implemented in Voice Inspector (VIN). Apart from SID, forensic experts, users of VIN, can benefit from automatic Signal-to-Noise Ratio calculation, Voice Activity detection, Phoneme search, and a Wave editor which incorporates the waveform, spectrum and power panel. Let's have a look on how to utilize individual technologies. Signal-to-Noise Ratio Recording quality can strongly influence the reliability of SID results and so the outcome of a forensic case. Therefore, VIN uses a module of Phonexia Speech Quality Estimation (SQE) to calculate the Signal-to-Noise Ratio (SNR)…

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…

Phonexia technology models EoL

     Posted on: 2018-07-11

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

Voice Biometrics

     Posted on: 2018-04-07

Overview Phonexia Voice Biometrics is a special edition of Phonexia Speech Platform which allows you to understand the nature of audio without having to listen to it. The product helps people to utilize the power of voice biometrics to verify speaker or identify crimes. The technologies reveals automatically WHO, what GENDER, what LANGUAGE is speaking, and many other metadata. Voice Biometrics - Typical Use-Cases Use case Speaker Verification is tailored to banks/insurance companies/money lending companies and others, where is needed to confirm if caller/voice in audio file is the same person who is known to the customer. For this use…

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…

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…

Speech Quality Estimation

     Posted on: 2018-04-02

Speech Quality Estimation (SQE) is a language-, domain- and channel-independent technology that quantifies the quality of an audio recording. 2 most important statistics used in the calculation of the SQE score are SNR (signal-to-noise ratio) and the bitrate of the recording. SQE is usually part of the rapid filtration process in deployments. SQE also measures over 20 other properties of the recording, all of which can be found in the output file and further processed. See description in SPE documentation. Typical use cases are: verification of recording quality on the input, searching based on quality of the recording, noise of…