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Q: How can I tell in which format the .wav file is?

     Posted on: 2017-06-27

A: From the utilities in the package, you can find it in "ffprobe <file_name>", it will write out the info about the file. *Utility "ffprobe" is not included in our package(s). It is part of ffmpeg (https://ffmpeg.org/ffprobe.html) and it is neccessary to install it separately.

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

     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)

Q: I found the following error: ApplicationStartup: Unhandled exception: BsapiException. What does it mean?

     Posted on: 2017-06-27

[Error] ApplicationStartup: Unhandled exception: BsapiException: SWaveformSegmenterI(/mnt/phxspe/home/phx/storage/dfs/a1cabcf7-c761-49f1 -a9bc-0a8209a09fd9.opus Requested segment (78056, 102056) is out of waveform range (0,91840). Any ideas what this means? A: It means that this opus file is created improperly and declares internally (in header) much more audio than available in real file. Please check your audio source/originator for proper functionality. Or use ffmpeg / sox utility as preprocessor of the audio and do audio normalization by self-conversion from opus to opus before recordings are processed through SPE.

Q: While trying to install SPE3, I get the error for loading libasound.so.2 libraries.

     Posted on: 2017-06-27

Currently I’m trying to install the provided binaries for Linux, but I do get the following when running phxadmin: ./phxadmin: error while loading shared libraries: libasound.so.2: cannot open shared object file: No such file or directory I’m trying to run this under CentOS 7. A: Please install sound libraries required for manipulation with audio files from official repository into your OS. For CentOS you may use: sudo yum install alsa-utils alsa-lib Hint: Great utility for finding subsequent Redhat/Fedora/CentOS libraries is https://www.rpmfind.net/linux/RPM/index.html

Q: What LLR, LR and score mean?

     Posted on: 2017-06-27

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 (-inf;+inf). Percentage (normalised) score - commonly used mathematical transformation of the LLR to percentage. This number is better for human readability but may bring some doubts if LLR numbers are too high (typically for some non-adapted installations). Interval <0;100> (or…

Software Vetting (Best Practice)

     Posted on: 2017-06-15

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,…

Terminology

     Posted on: 2017-06-15

Document which briefly describes processes and relations in Phonexia Technologies with consideration on correct word usage.   SID - Speaker Identification Technology (about SID technology) which recognize the speaker in the audio based on the input data (usually database of voiceprints). XL3, L3,L2,S2 - Technology models of SID. Speaker enrollment - Process, where the speaker model is created (usually new record in the voiceprint database). Speaker model: 1/ should reach recommended minimums (net speech, audio quality), 2/ should be made with more net speech and thus be more robust. The test recordings (payload) are then compared to the model (see…

Get better support

     Posted on: 2017-05-19

This page highlights advices based on the previous experience. If you have any suggestions or correction regarding the innovation of the tech support, please let us know. The Frequently asked questions and Lifetime Support Policies sections prepared for you on Partner Portal could also be of interest to you. 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…

Phonexia Voice Inspector v1

     Posted on: 2017-05-18

About Phonexia Voice Inspector v1 (VIN1) provides police forces and forensic experts with highly accurate speaker identification tools to be used during the investigation of criminal matters. It utilizes the power of voice biometry to automatically recognize the speaker by their voice. Main features of the VIN1 application: An automatic speaker identification tool to strengthen the results of the standard phonetic based approaches Scoring of the likelihood ratio (LR), log-likelihood ratio (LLR), and an option of a verbal presentation of the results Graphic presentation of the likelihood ratio (LR), probability density function and Tippett plot Generating detailed reports (expert opinion…

Speech Intelligence Resolver v1

     Posted on: 2017-05-18

About Phonexia Speech Intelligence Resolver v1 (SIR1) combines the power of speech technologies within a single application. The application automatically performs visualization of the record as well as filtering the speech metadata uncovered from your records effectively. Speech technologies implemented: Phonexia Speaker Identification (SID2) Phonexia Language Identification (LID2) Phonexia Gender identification (GID) Phonexia Voice Activity Detection (VAD) Phonexia Speaker Diarization (DIAR) Phonexia Keyword Spotting (KWS) Phonexia Speech Quality Estimator (SQE) Phonexia Speech Transcription (STT) SIR is a client application cooperating with REST servers. It can be used as a standalone application due to the integrated local REST server. It was…

Voice Inspector

     Posted on: 2017-05-18

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 phonetics-based approaches Scoring in likelihood ratio (LR) – Result from statistical test for two models comparison. It gives back number which expresses how many times more likely the data are under one model than the other. LnLR or LogLR meets numbers in interval <-∞;+∞>...), and verbal…

Phonexia Browser

     Posted on: 2017-05-18

About Phonexia Browser v3 (Browser v3) software that combines the power of speech technologies in a single desktop application. The application automatically  performs visualization of records as well as effective filtration of speech metadata uncovered from the user´s records. Speech technologies implemented: Speaker Identification (SID) Language Identification (LID) Gender identification (GID) Voice Activity Detection (VAD) Speaker Diarization (DIAR) Keyword Spotting (KWS, 10+ languages available) Speech Quality Estimator (SQE) Speech to Text (STT, 10+ languages available) Age Estimation (AGE) Browser v3 is a client application cooperating with Speech Engine v3 (SPE3). It is possible to use it as a client -…

Time Analysis (TAE)

     Posted on: 2017-05-18

Technology description Technology Time Analysis Extraction 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…

Keyword Spotting (KWS)

     Posted on: 2017-05-18

About KWS Phonexia Keyword Spotting (KWS) identifies occurrences of key-words and/or key-phrases in audio recordings. Application areas: Security/defense Maintain fast reaction times by routing calls with specific content to human operators Search for specific information in large call archives Trigger alarms immediately (online) when an event occurs Call centers Increase operator and supervisor efficiency by searching calls Identify inappropriate expressions from operators Check marketing campaigns with automatic script compliance control Mass media and web search servers Index and search multimedia by keyword Route multimedia files and streams according to their content   KWS technology Acoustic based technology robust even with…

Support

     Posted on: 2017-05-18

Technical support is available during Central European working days and hours: Monday - Friday, 9:00 - 17:00 CET. We will reply within 4 working hours. If your issue is urgent, please call your Phonexia contact person or the support phone numbers. Report an issue Before you report an issue, see the Get better support section for hints which information can help solving your issue faster and how to collect this info. Report your issue using email or phone: email: support@phonexia.com landline: +420 511 205 265 cellphone: +420 731 810 643 Data Upload Use your preferred storage to share files with technical…

Phonexia Speech Engine

     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…