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Speech Platform 3

Phonexia Speech Platform (PSP) is an umbrella concept for all Phonexia software components and services related to speech technologies with wide support of languages. It provides the ability to customize various products to a wide range of customer needs.

The platform is an encapsulation of speech technologies (available in the Speech Engine component), expert-level applications (the Browser component), and utilities (the Reporting and Licensing Server component ) grouped together for a specific market segment.

We distinguish two fundamental domains: Government and Commerce (Enterprise). They differ from the business and user perspectives so much that it is necessary to divide them. We converted our market expertise into several predefined configurations that are typical for the most common domains of usage.

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Phonexia Speech Engine (SPE)

Phonexia Speech Engine (SPE) is a server application, providing REST API to the entire portfolio of Phonexia speech technologies.

SPE capabilities overview:

TechnologyAudio filesRTP / HTTP streams
Speaker Identification (SID)YesYes
Speech To Text (STT)YesYes
Keyword Spotting (KWS)YesYes
Voice Activity Detection (VAD)YesYes
Time Analysis Extraction (TAE)YesYes
Speech Quality Estimation (SQE)YesYes
Language Identification (LID)YesNo
Gender Identification (GID)YesNo
Age Estimation (AGE)YesNo
Speaker Diarization (DIAR)YesNo

Results caching - Processing results can be optionally stored in results cache database to speed up eventual re-processing of the same recordings by the same technology – results are then returned immediately from the cache instead of complete re-processing of the audio file.

Own persistent data storage - SPE keeps uploaded audio files in its own persistent storage space, so the original source files can be archived or deleted after upload.

Data privacy - SPE keeps information about audio file or stream only as long as the file or stream exists. Once the recording is deleted from SPE storage, or stream is ended, SPE removes all information, metadata and technology results from the database.

Basic user management - SPE allows the definition of multiple users with different user roles and user rights. Each SPE user has access only to its own data storage, files, metadata and processing results.

Load management - SPE manages its own queue of incoming REST requests and serves them according to available capacity of current installation. This means that the application layer can request any number of queries and then just wait until they are processed.

Processing priority management - To allow off-queue high-priority or low-priority processing, SPE also allows the setting of priority for individual REST requests.

Basic audio manipulation - SPE has built-in basic audio file manipulation functionality, like separating individual channels from stereo recordings, cutting one audio to several files, saving audio from incoming stream to file and other functionalities.

Stream audio player - To support voicebot scenarios, SPE has the ability to play audiofiles directly to output RTP stream

External Text-to-speech (TTS) integration - Easy integration with external TTS providers via simple plugin-like connectors interface

Flexible integration - SPE can provide results in JSON or XML format. Results can be obtained by polling, via websockets, or via webhooks (callbacks).

Status information - SPE can provide various status information to the application layer, e.g. license status, configuration info, current overall load, pending operations status, …

Phonexia Browser

Phonexia Browser is a testing tool, designed to easily evaluate speech technologies provided by Phonexia Speech Engine API without coding your own tools or scripts. It provides basic GUI for testing and visualizes the results of speech technologies using your own audio recordings.

Phonexia Browser helps with:

  • becoming familiar with speech technologies
  • deployment of Phonexia Speech Engine into the client’s infrastructure
  • configuration of the technologies according to the client’s needs
  • calibration and evaluation of the specific deployment

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