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I have 1 master and 1 worker up and running using https://github.com/jcsilva/docker-kaldi-gstreamer-server. I have also configured a Node.js client using your dictate.js. The client server is very simple and I only had to change the path pointing to the worker.
I changed the following in dictate.js
var SERVER = "ws://localhost:8080/client/ws/speech";
var SERVER_STATUS = "ws://localhost:8080/client/ws/status";
var REFERENCE_HANDLER = "ws://localhost:8080/client/dynamic/reference";
However I am unable to send data from the client to the worker. This is my worker log. The app log does not offer anything for me to debug, and I can't get much information out of the worker log either.
Worker log:
DEBUG 2018-12-17 02:00:06,694 Starting up worker
2018-12-17 02:00:06 - INFO: decoder2: Creating decoder using conf: {'post-processor': "perl -npe 'BEGIN {use IO::Handle; STDOUT->autoflush(1);} s/(.*)/\\1./;'", 'logging': {'version': 1, 'root': {'level': 'DEBUG', 'handlers': ['console']}, 'formatters': {'simpleFormater': {'datefmt': '%Y-%m-%d %H:%M:%S', 'format': '%(asctime)s - %(levelname)7s: %(name)10s: %(message)s'}}, 'disable_existing_loggers': False, 'handlers': {'console': {'formatter': 'simpleFormater', 'class': 'logging.StreamHandler', 'level': 'DEBUG'}}}, 'use-vad': False, 'decoder': {'ivector-extraction-config': '/opt/models/english/tedlium_nnet_ms_sp_online/conf/ivector_extractor.conf', 'num-nbest': 10, 'lattice-beam': 6.0, 'acoustic-scale': 0.083, 'do-endpointing': True, 'beam': 10.0, 'max-active': 10000, 'fst': '/opt/models/english/tedlium_nnet_ms_sp_online/HCLG.fst', 'mfcc-config': '/opt/models/english/tedlium_nnet_ms_sp_online/conf/mfcc.conf', 'use-threaded-decoder': True, 'traceback-period-in-secs': 0.25, 'model': '/opt/models/english/tedlium_nnet_ms_sp_online/final.mdl', 'word-syms': '/opt/models/english/tedlium_nnet_ms_sp_online/words.txt', 'endpoint-silence-phones': '1:2:3:4:5:6:7:8:9:10', 'chunk-length-in-secs': 0.25}, 'silence-timeout': 10, 'out-dir': 'tmp', 'use-nnet2': True}
2018-12-17 02:00:06 - INFO: decoder2: Setting decoder property: ivector-extraction-config = /opt/models/english/tedlium_nnet_ms_sp_online/conf/ivector_extractor.conf
2018-12-17 02:00:06 - INFO: decoder2: Setting decoder property: num-nbest = 10
2018-12-17 02:00:06 - INFO: decoder2: Setting decoder property: lattice-beam = 6.0
2018-12-17 02:00:06 - INFO: decoder2: Setting decoder property: acoustic-scale = 0.083
2018-12-17 02:00:06 - INFO: decoder2: Setting decoder property: do-endpointing = True
2018-12-17 02:00:06 - INFO: decoder2: Setting decoder property: beam = 10.0
2018-12-17 02:00:06 - INFO: decoder2: Setting decoder property: max-active = 10000
2018-12-17 02:00:06 - INFO: decoder2: Setting decoder property: mfcc-config = /opt/models/english/tedlium_nnet_ms_sp_online/conf/mfcc.conf
2018-12-17 02:00:06 - INFO: decoder2: Setting decoder property: traceback-period-in-secs = 0.25
2018-12-17 02:00:06 - INFO: decoder2: Setting decoder property: word-syms = /opt/models/english/tedlium_nnet_ms_sp_online/words.txt
2018-12-17 02:00:07 - INFO: decoder2: Setting decoder property: endpoint-silence-phones = 1:2:3:4:5:6:7:8:9:10
2018-12-17 02:00:07 - INFO: decoder2: Setting decoder property: chunk-length-in-secs = 0.25
2018-12-17 02:00:07 - INFO: decoder2: Setting decoder property: fst = /opt/models/english/tedlium_nnet_ms_sp_online/HCLG.fst
2018-12-17 02:00:15 - INFO: decoder2: Setting decoder property: model = /opt/models/english/tedlium_nnet_ms_sp_online/final.mdl
2018-12-17 02:00:15 - INFO: decoder2: Created GStreamer elements
2018-12-17 02:00:15 - DEBUG: decoder2: Adding <__main__.GstAppSrc object at 0x7f516814b370 (GstAppSrc at 0x14faf30)> to the pipeline
2018-12-17 02:00:15 - DEBUG: decoder2: Adding <__main__.GstDecodeBin object at 0x7f516814b320 (GstDecodeBin at 0x1502090)> to the pipeline
2018-12-17 02:00:15 - DEBUG: decoder2: Adding <__main__.GstAudioConvert object at 0x7f516814b410 (GstAudioConvert at 0x1524690)> to the pipeline
2018-12-17 02:00:15 - DEBUG: decoder2: Adding <__main__.GstAudioResample object at 0x7f516814b2d0 (GstAudioResample at 0x13e1bc0)> to the pipeline
2018-12-17 02:00:15 - DEBUG: decoder2: Adding <__main__.GstTee object at 0x7f516814b3c0 (GstTee at 0x1535000)> to the pipeline
2018-12-17 02:00:15 - DEBUG: decoder2: Adding <__main__.GstQueue object at 0x7f516814b4b0 (GstQueue at 0x1538210)> to the pipeline
2018-12-17 02:00:15 - DEBUG: decoder2: Adding <__main__.GstFileSink object at 0x7f516814b500 (GstFileSink at 0x153d200)> to the pipeline
2018-12-17 02:00:15 - DEBUG: decoder2: Adding <__main__.GstQueue object at 0x7f516814b550 (GstQueue at 0x1538500)> to the pipeline
2018-12-17 02:00:15 - DEBUG: decoder2: Adding <__main__.Gstkaldinnet2onlinedecoder object at 0x7f516814b5a0 (Gstkaldinnet2onlinedecoder at 0x155e0a0)> to the pipeline
2018-12-17 02:00:15 - DEBUG: decoder2: Adding <__main__.GstFakeSink object at 0x7f516814b5f0 (GstFakeSink at 0x143a600)> to the pipeline
2018-12-17 02:00:15 - INFO: decoder2: Linking GStreamer elements
LOG ([5.4.176~1-be967]:ComputeDerivedVars():ivector-extractor.cc:183) Computing derived variables for iVector extractor
LOG ([5.4.176~1-be967]:ComputeDerivedVars():ivector-extractor.cc:204) Done.
2018-12-17 02:00:15 - INFO: decoder2: Setting pipeline to READY
2018-12-17 02:00:15 - INFO: decoder2: Set pipeline to READY
2018-12-17 02:00:15 - INFO: __main__: Opening websocket connection to master server
2018-12-17 02:00:15 - INFO: __main__: Opened websocket connection to server
2018-12-17 02:00:46 - DEBUG: __main__: <undefined>: Got message from server of type <class 'ws4py.messaging.TextMessage'>
2018-12-17 02:00:46 - INFO: decoder2: 186a155f-59c5-490d-a069-cb4481ddf4c4: Initializing request
2018-12-17 02:00:46 - INFO: decoder2: 186a155f-59c5-490d-a069-cb4481ddf4c4: Setting caps to audio/x-raw, layout=(string)interleaved, rate=(int)16000, format=(string)S16LE, channels=(int)1
2018-12-17 02:00:46 - INFO: decoder2: 186a155f-59c5-490d-a069-cb4481ddf4c4: Connecting audio decoder
2018-12-17 02:00:46 - DEBUG: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Checking that decoder hasn't been silent for more than 10 seconds
2018-12-17 02:00:46 - INFO: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Started timeout guard
2018-12-17 02:00:46 - INFO: decoder2: 186a155f-59c5-490d-a069-cb4481ddf4c4: Connected audio decoder
2018-12-17 02:00:46 - INFO: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Initialized request
2018-12-17 02:00:47 - DEBUG: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Checking that decoder hasn't been silent for more than 10 seconds
2018-12-17 02:00:48 - DEBUG: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Checking that decoder hasn't been silent for more than 10 seconds
2018-12-17 02:00:49 - DEBUG: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Checking that decoder hasn't been silent for more than 10 seconds
2018-12-17 02:00:50 - DEBUG: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Checking that decoder hasn't been silent for more than 10 seconds
2018-12-17 02:00:51 - DEBUG: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Checking that decoder hasn't been silent for more than 10 seconds
2018-12-17 02:00:52 - DEBUG: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Checking that decoder hasn't been silent for more than 10 seconds
2018-12-17 02:00:53 - DEBUG: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Checking that decoder hasn't been silent for more than 10 seconds
2018-12-17 02:00:54 - DEBUG: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Checking that decoder hasn't been silent for more than 10 seconds
2018-12-17 02:00:55 - DEBUG: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Checking that decoder hasn't been silent for more than 10 seconds
2018-12-17 02:00:56 - WARNING: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: More than 10 seconds from last decoder hypothesis update, cancelling
2018-12-17 02:00:56 - INFO: decoder2: 186a155f-59c5-490d-a069-cb4481ddf4c4: Resetting decoder state
2018-12-17 02:00:56 - DEBUG: ws4py: Closing message received (1000) ''
2018-12-17 02:00:56 - DEBUG: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Websocket closed() called
2018-12-17 02:00:56 - DEBUG: __main__: 186a155f-59c5-490d-a069-cb4481ddf4c4: Websocket closed() finished
2018-12-17 02:00:57 - INFO: __main__: Opening websocket connection to master server
2018-12-17 02:00:57 - INFO: __main__: Opened websocket connection to server
The out-dir is where audio is received, it is pointed to tmp in the Docker container. Inside tmp, the only content is pip_build_root and no audio files. I know my client side audio configuration is working because the mob demo works fine. Therefore the issue must be the connection between my Node server and the Kaldi server.
Did I miss something? Thanks
The text was updated successfully, but these errors were encountered:
I have 1 master and 1 worker up and running using
https://github.com/jcsilva/docker-kaldi-gstreamer-server
. I have also configured a Node.js client using yourdictate.js
. The client server is very simple and I only had to change the path pointing to the worker.I changed the following in
dictate.js
and in my home page I've added
However I am unable to send data from the client to the worker. This is my worker log. The app log does not offer anything for me to debug, and I can't get much information out of the worker log either.
Worker log:
The
out-dir
is where audio is received, it is pointed to tmp in the Docker container. Inside tmp, the only content ispip_build_root
and no audio files. I know my client side audio configuration is working because the mob demo works fine. Therefore the issue must be the connection between my Node server and the Kaldi server.Did I miss something? Thanks
The text was updated successfully, but these errors were encountered: