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RTP:Engine Speech-to-Text Spooler

Simple RTPEngine Speech-to-Text Spooler using Whisper on CPU(s)

Usage

This simple tool assumes a fully working RTPEngine WAV recorder setup and relies on its natural metadata removal pattern to pick, process and clear recording files.

HEP Usage

Speech Recognition results can be streamed to HOMER or HEPIC using the HEP Type 100 container.

Both transcription and sentiment analysis is available. Transcription is always on, while sentiment analysis is opt-in via ENV var.

Below is an overview of the defaults and ENV vars

/**
 * Environment Variables
 */
const HEP_SERVER = process.env.HEP_SERVER || '127.0.0.1'
const HEP_TRANS = process.env.HEP_TRANS || 'udp4'
const HEP_PORT = process.env.HEP_PORT || 9060
const HEP_PASS = process.env.HEP_PASS || '123'
const HEP_ID = process.env.HEP_ID || 44567
const sentimentEnabled = process.env.SENTIMENT || 'false'
const timeout = process.env.TIMEOUT || 8000
const offset = process.env.OFFSET || 1000
const debug = process.env.DEBUG || false
OFFSET=5000 META_PATH=/var/spool/rtpengine REC_PATH=/path/to/RTPEngine/recording_dir HEP_TRANS='udp4' HEP_SERVER='capture.homer.com' HEP_PORT=9060 node sentiment2hep.mjs
  • Wait for RTP traffic
  • Watch HEP logs fly out!
U 172.18.0.2:52593 -> x.x.x.x:9060
HEP3.%...................
.........
.........................
Y.._...
.
..........d.....
..........BINGO.....'6f9db20deb1a9871-ce2fa1345463393b......Um well I got a right now I got this absence of argan oil um for shipping handling in handling Costa fried 9-9 sample of it and um if I want to.
  • Check your Session for Logs image