Speech-to-Text system

A key services for the voice interaction systems.
Now, there are many online services with similar functionality, but most of them bring the risks of data leaks and can't be used.
The software enable to build complete local speech-to-text service and use it in these cases.
This is a fast, lightweight solution with simple web-api which not requires a special hardware (such as GPU) and able to run on regular servers.

Freeswitch javascript example: Simple IVR menu

Written in C, with libs: mpg123, alphacephei framework.

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Price: 250$ / 250 USDT
For purchase questions, please visit contact page.
A trial period with installation on your servers is provided (preferred Ubuntu 22.04 x64).

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Basic features:

• Complete local system

  You won't depend on any online services, and spend money for subscription

• Supports multiple nanguages

  There are open models for various languages

• Supports models fine-tuning

  There are tools for it

• Context dictionary

  Allows to defined the context dictionary (bag of accessible words) an use it during recognition

• Speaker identify

  Allows to generate speakers signature vector for further identification

• Capable to run on regular servers

  for example: IBM x3550-M3

• Supported in FreeSWITCH

  There is already a ready-made module for integration with FreeSWITCH.
  for details see: mod_sivr_stt

• Models preloading and caching

  Takes a positive effect on performance and memory consumption

• Simple web api

  Enable to make easy integration with various applications

• Supported formats

  - wav
  - mp3
  - l16

• Supported os

  - Linux

--- Examples ---

Example #1 (simple request)

Request:
curl http://127.0.0.1:8801/v1/transcriptions -X POST -H "Authorization: Bearer secret" -H "Content-Type: multipart/form-data" -F language="en" -F smodel="small" -F file="@test.mp3"

Response (json):
{
 "text" : "hello world"
 }
        

Example #2 (with speake identify)

Request:
curl http://127.0.0.1:8801/v1/transcriptions -X POST -H "Authorization: Bearer secret" -H "Content-Type: multipart/form-data" -F language="en" -F smodel="small" -F vmodel="default" -F file="@test.mp3"

Response (json):
{
 "spk" : [-0.644623, 1.023342, 2.575434, 0.623447, -0.602342, 1.0234234 -1.4824234 -0.021242, 0.824297, -0.152424, ... ],
 "spk_frames" : 81,
 "text" : "hello world"
}