Search Results for: Audio Source Profile

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Knowledge Base

Relevance: 9%      Posted on: 2017-05-18

This section collects information, we see the most important or frequently discussed. Best Practices Frequently Asked Questions (FAQ) Manuals Glossary Terminology Open Source Acknowledgement  

Keyword pronunciation

Relevance: 9%      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).

Speech Analytics

Relevance: 9%      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…

Phonexia Speech Platform for Government

Relevance: 9%      Posted on: 2017-05-18

Phonexia Voice Biometrics GOV is a special edition of Phonexia Speech Platform for Government 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 filter audio and prevent or identify crimes. The technologies reveal automatically WHO, what GENDER, what LANGUAGE is speaking, and many other metadata. The product can be used typically for investigation support, SIGINT or other types of operations. It serves 4 main use-cases: Voice Biometrics - Speaker Search in Archive (Investigation) Voice Biometrics - Speaker Spotting Tactical Voice Biometrics -…

Speech Quality Estimator – Essential

Relevance: 9%      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 Workflow

Relevance: 9%      Posted on: 2019-08-06

About Phonexia Workflow combines Phonexia technologies into scenarios, which can be easily configured and deployed. Phonexia Workflow uses Phonexia Speech Engine internally. Provided Phonexia Workflow scenarios: SalEssentials - Speech Analytics Essentials filter out low quality audio files, provides demographic information, age estimation and speech to text processing. VbsEssentials - Voice Biometrics Essentials filter out low quality audio files, provides gender identification, age estimation and speaker identification. Our team can help you implementing your custom scenario. The scenario is a tiny Java application which interacts with Phonexia technologies and optionally can use your service or database. First steps Installation Go through…

Phonexia Speech Engine

Relevance: 9%      Posted on: 2017-05-18

About Phonexia Speech Engine v3 (SPE3) is a main executive part of the Phonexia Speech Platform. It is a server application with REST API interface through which you can access all available speech technologies. Both, Linux 64bit and Windows 64bit operating systems are supported. Phonexia Speech Engine (SPE3) is adjustable server component which houses all speech technologies. SPE3 provides RESTfull application programming interface to access various technologies. Aside from technologies themselves the SPE has implemented other various functionality supporting work with speech technologies, recordings and streams, and others. Features Main purpose of SPE is to work as processing unit for…

Voice Activity Detection – Essential

Relevance: 9%      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…

Q: Please give me a recommendation for LID adaptation set.

Relevance: 9%      Posted on: 2017-06-27

A: The following is recommended: For adding new language to language pack 20+ hours of audio for each new language model (or 25+ hours of audio containing 80% of speech) Only 1 language per record For adapting the existing language model (discriminative training) 10+ hours of audio for each language May be done on customer site. May be done in Phonexia using anonymized data (= language-prints extracted from a .wav audio)

Phonexia End User License Agreement

Relevance: 9%      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.