Search Results for: language detection

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Language Identification (LID)

Relevance: 100%      Posted on: 2020-07-09

Phonexia Language Identification (LID) will help you distinguish the spoken language or dialect. It will enable your system to automatically route valuable calls to your experts in the given language or to send them to other software for analysis. Phonexia uses state-of-the-art language identification (LID) technology based on iVectors that were introduced by NIST (National Institute of Standards and Technology, USA) during the 2010 evaluations. The technology is independent on text and channel. This highly accurate technology uses the power of voice biometrics to automatically recognize spoken language. Application areas Preselecting multilingual sources and routing audio streams/files to language dependent…

Language Identification results explained

Relevance: 56%      Posted on: 2019-05-20

This article aims on giving more details about Language Identification scoring and hints on how to tailor Language Identification to suit best your needs. Scoring and results explanation When Phonexia Language Identification identifies a language in audio recording (or languageprint) using a language pack, it creates languageprint of the recording (if input is audio recording) compares that languageprint with each language in a language pack and calculates probability that these two languages are the same The final scores are returned as logarithms of these individual probabilities – i.e. as values from {-inf,0} interval – for each language in the language pack.…

STT Language Model Customization tutorial

Relevance: 37%      Posted on: 2019-04-24

Language Model Customization tool (LMC) provides a way to improve the Speech To Text performance by creating customized language model. Language model is an important part of Phonexia Speech To Text. In a simplified way it can be imagined as a large dictionary with multiple statistics. The Speech To Text technology uses this dictionary and statistical model to convert audio signals into the proper text equivalents. Due to general diversity of spoken speech, the default generic language model may not acknowledge the importance of certain words over other words in certain situations. Language model customization is a way to inform the…

Voice Activity Detection

Relevance: 37%      Posted on: 2018-04-02

Voice Activity Detection is a language-, domain- and channel-independent technology that identifies parts of audio recordings with speech content vs. non-speech content. It creates labels for speech and other signals in the recording; this can then serve as a decision point whether to process the recording by other technologies or not. VAD is usually part of rapid filtration process in deployment. Typical use cases are: detection of present or absent human speech for voice processing, filtering non-speech parts of the recording, filtering out recordings with not enough net speech to be processed by other technologies voice activated process, etc. The…

How to configure STT realtime stream word detection parameters

Relevance: 36%      Posted on: 2020-03-28

One of the improvements implemented since Speech Engine 3.24 is neural-network based VAD, used for word- and segment detection. This article describes the segmenter configuration parameters and how they are affecting the realtime stream STT results. The default segmenter parametrs are as shown below: [vad.online_segmenter:SOnlineVoiceActivitySegmenterI] backward_extensions_length_ms=150 forward_extensions_length_ms=750 speech_threshold=0.5 Backward- and forward extension are intervals in miliseconds, which extend the part of the signal going to the decoder. Decoder is a component, which determines what a particular part of the signal contains (speech, silence, etc.). Based on that, decoder also decides whether segment has finished or not. Unlike in file processing…

Voice Activity Detection – Essential

Relevance: 34%      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…

SPE3 – Quick Start Guide

Relevance: 28%      Posted on: 2018-04-16

Do you want to run the SPE3 for the first time? This post can help you. Distribution, installation and configuration SPE is distributed by Phonexia in .zip archives. These are downloaded from Phonexia package manager using link provided by Phonexia employee. Installation is done by simple unzipping the content of the downloaded .zip archive to SPE installation folder. Configuration of SPE is done at two places. First is executable file ./phxadmin or .\phxadmin.exe serving to set file to configuration and license files configure speech technologies configure user accounts set up of few various setting Running the ./phxadmin or .\phxadmin.exe command…

SPE configuration

Relevance: 27%      Posted on: 2018-02-02

Basic explanation of configuration directives for SPE with hints & tips. Overview of phxspe.properties for beginners.

Q: How can I add new language to LID?

Relevance: 26%      Posted on: 2017-06-27

A: There are multiple methods to train a new language, please see article in Components > Speech Technologies > LID.