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Speech Engine configuration file explained

Relevance: 100%      Posted on: 2021-02-19

In this article we explain details of the Speech Engine configuration file phxspe.properties, located in settings subdirectory in SPE installation location. Settings in this configuration file affect the Speech Engine behavior and performance. The configuration file is usually created after SPE installation – on first use of phxadmin, a default configuration filephxspe.properties is created in the settings directory. The file is loaded during SPE startup, i.e. you need to restart SPE to apply any changes made in the file. If Speech Engine is used together with Phonexia Browser in so-called "embedded" mode (see details about "embedded SPE" mode in Browser…

SPE3 – Releases and Changelogs

Relevance: 53%      Posted on: 2021-02-26

Speech Engine (SPE) is developed as RESTfull API on top of Phonexia BSAPI. SPE was formerly known as BSAPI-rest (up to v2.x) or as Phonexia Server (up to v3.2.x). Releases Changelogs Speech Engine 3.38.0, DB v1700, BSAPI 3.38.0 (2021-02-25) Non-public Feature Preview release New: Training of LID Language Packs (no more need for command line tools... finally!) New: LID Language Packs allow to store meta-files New: New entity "LID Language Model" (equivalent of *.lpa LanguagePrint Archive) Improved: Updated STT model RU_RU_A to version 4.6.0 of (updated language model) Removed: Support for RLS-enforced licences in command line applications Removed: FeaturePasterRepeat warning…

SPE configuration

Relevance: 12%      Posted on: 2018-02-02

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

Speech Engine 3.35.1

Relevance: 6%      Posted on: 2020-10-13

Speech Engine 3.35.1, DB v1600, BSAPI 3.35.1 (2020-10-13) Fixed Missing input stream task name in log messages Missing arguments in "word not found" error messages (when using preferred phrases)

Speech Engine 3.35.3

Relevance: 6%      Posted on: 2020-11-24

Speech Engine 3.35.3, DB v1601, BSAPI 3.35.3 (2020-11-24) New Internal support for SAMPA phonetic alphabet Updated STT model RU_RU_A to version 4.5.0 of (updated language model) Updated STT/KWS/PHNREC model AR_XL to version 5.2.0 (updated language model, changed phonemes notation to X-SAMPA) Fixed Cannot create new output stream due to hanging unfinished tasks Task is not removed from pool when result is delivered via Webhook Some log messages contain format placeholder instead of numbers Missing <silence/> label in STT confusion network output STT confusion network contains <silence/> tags with confidence greater than 1.0 Diarization crashes during processing Diarization XL4 crashes on…

Time Analysis (TAE)

Relevance: 6%      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…

Terminology

Relevance: 6%      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…

Q: Please describe how to get the results for a pending operation.

Relevance: 6%      Posted on: 2017-06-27

A: If server responds on pending request by status 200 - OK,  the body of the response will have the result inside (server already has the result in cache memory and there is no need to process the file again). If server responds on pending request by status 202 - Accepted, server will create task and server will begin to process the file. In response HTTP header (in parameter "Location") there is path for pending resource. In the body there is a ID of pending operation. Polling: Client asks on the pending resource (e.g. “get /pending/{ID}). Server will answer with…

Speaker Diarization

Relevance: 6%      Posted on: 2018-04-02

Speaker Diarization labels segments of the same voice(s) in one mono channel audio record based by the individual speaker´s voice. It is a language-, domain- and channel-independent technology. It performs not only the segmentation of speakers, but of technical signals and silence as well. The outputs of the technology can be both log file with labels and/or split audio files/one new multichannel audio file. The correct speaker diarization is still research task nowadays. Typical use cases: Preprocessing for other speech recognition technologies, labeling the parts of the utterance according to the speakers, splitting telephone conversation recorded in mono into several…

Voice Activity Detection – Essential

Relevance: 6%      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…