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Speech Analytics

Relevance: 5%      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…

Threshold

Relevance: 5%      Posted on: 2018-04-04

Number defining how much the score of the found word must be to appear among detections.

Speech Quality Estimator – Essential

Relevance: 5%      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…

Phonexia technology models EoL

Relevance: 5%      Posted on: 2018-07-11

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

Supported audio formats

Relevance: 5%      Posted on: 2018-12-10

Supported audio format are: WAVE (*.wav) container including any of: unsigned 8-bit PCM (u8) unsigned 16-bit PCM (u16le) IEEE float 32-bit (f32le) A-law (alaw) µ-law (mulaw) ADPCM FLAC codec inside FLAC (*.flac) container OPUS codec inside OGG (*.opus) container   Other audio formats must be converted using external tools. SPE server can be configured to support automated conversion on background, see SPE configuration hints. Great tools for converting other than supported formats to supported are ffmpeg (http://www.ffmpeg.org) or SoX (http://sox.sourceforge.net/). Both are multiplatform software tools for MS Windows, Linux and Apple OS X. Example of usage: ffmpeg ffmpeg -i <source_audio_file_name>…

Contact

Relevance: 5%      Posted on: 2017-05-18

Visit Us at Address: Chaloupkova 3002/1a, CZ 612 00 Brno, Czech Republic, European Union GPS: N 49° 13.426', E 016° 35.898 General Queries and Sales info@phonexia.com landline: +420 511 205 265 Technical Support support@phonexia.com landline: +420 511 205 265 cellphone: +420 731 810 643 Company registration details Identification number (ICO): 27680258 VAT identification (DIC): CZ27680258 Registered in the Business Register kept at the District Court in Brno, File C, Inset 51524.

Keyword Spotting results explained

Relevance: 5%      Posted on: 2019-06-12

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 likelihoods that at a given spot occurs a keyword or just any other speech, and comparing those two likelihoods. The following scheme shows Background model for anything before the keyword (1), the Keyword model (2) and a Background model of any speech parallel with the keyword model (3). Models 2 and 3 produce two likelihoods – Lkw and Lbg (any speech = background). Raw score is calculated as log likelihood…

AVG

Relevance: 5%      Posted on: 2018-02-01

Average value – An average is the sum of a list of numbers divided by the number of numbers in the list

Measuring of a software processing speed – what is the FtRT (Faster than Real Time)

Relevance: 5%      Posted on: 2019-10-30

Faster Than Real Time (FTRT) is metrics developed for defining software performance reference point. Using this metric you can collect "benchmark" data of real processing speed for reviewed software, which should be found - and reproduced - on exactly defined HW. Then, comparing various benchmarks result, you can compare performance of the specified software and its parts on different HW configurations. And vice versa - using the same metric you can compare software from different vendors on the same HW configuration and for the same processing task. We are recognizing two measurable metrics: Recording based FTRT is calculated from real…

LR

Relevance: 5%      Posted on: 2018-02-01

Likelihood Ratio – Result from statistical test for two models comparation. It gives back number which expresses how many times more likely the data are under one model than the other. LR meets numbers in interval <-∞;+∞>