Search Results for: ROM

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LR

     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 <-∞;+∞>

LPA

     Posted on: 2018-02-01

Language Print Archive - pack of language prints from the recordings spoken in the same language/dialect. Used for the language identification in LID comparison.

LP

     Posted on: 2018-02-01

Language Print - output data from LID technology

FEA

     Posted on: 2018-02-01

Features – FEA is optional output from KWS technology. Looking for keywords in FEA is faster than in original recording.

Broadcasting

     Posted on: 2018-02-01

Distribution of audio and video content to a dispersed audience via any audio or visual mass communications medium, but usually one using electromagnetic radiation (radio waves)

Q: How to choose answer format from server (xml/json)?

     Posted on: 2017-06-27

A: Via HTTP header “Accept” parameter (application/json; application/xml) Via request query “format=json/xml” If the format is not defined (or the HTTP header "Accept" parameter has one of these values: application/*,*/*,*), server will return json.

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)