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-Offline Speech Recognition using Vosk (Kaldi-ASR) : meta-offline-voice-agent
-=========================================================================
-
-meta-offline-voice-agent is the AGL Layer using Vosk API based on Kaldi ASR Toolkit to enable Offline Speech Recognition capabilities for Automotive Grade Linux.
-
-
-WIP
-========
-The layer in its current state contains the Vosk library, and is capable of recognizing speech, as verified from the test scripts contained in https://github.com/alphacep/vosk-api/tree/master/python/example.
-
-### Working features:
-- [vosk-api (python)](https://github.com/alphacep/vosk-api/tree/master/python)
-- [vosk-websocket-server](https://github.com/alphacep/vosk-server/tree/master/websocket)
-
-
-Testing vosk-api on AGL
-======================
-
-### 1. Initializing the build environment:
-
-The `agl-offline-voice-agent` feature needs to be enabled when including aglsetup.sh:
-
-```shell
-$ source meta-agl/scripts/aglsetup.sh -m qemux86-64 -b build-voice-qemux86-64 agl-demo agl-offline-voice-agent ${AGL_META_PYTHON}
-
-$ bitbake agl-demo-platform
-```
-
-### 2. Running the image:
-
-```shell
-$ runqemu tmp/deploy/images/qemux86-64/agl-demo-platform-qemux86-64.qemuboot.conf kvm serialstdio slirp publicvnc audio
-```
-
-### 3. Run the test with ptest-runner:
-
-```shell
-$ ptest-runner python3-vosk-api
-```
-
-### Currently supported targets:
-- QEMU x86-64: Work in progress.
-
-Maintainers:
-- Aman Arora <aman.arora9848@gmail.com>
-