Read the statement by Michael Teeuw here.
3 different Alexa modules, which one is the best?
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@romain thank you very very much for all this feedback. I was definitely missing some pieces of the puzzle. I will try this again today and post my findings here. Have a great day!
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@johnnyboy I struggle because of this @johnnyboy at first. But the lambda service is working both with us and ireland (west-eu or eu-west. don’t remember exactly now).
I end up have skill that was working. On the amazon interfaces anyway by choosing that instead of us. (even though I’m in france. I had no error anymore on the amazon test aera)
I had to change the hard coded region in the code though (easy fix).
I think I had no more error at the end (don’t remember for sure). But nothing was happening when I talked (maybe it was again a microphone issue. Not really sure about that)
I also did not understood how to use thenpm start devcorrectly at that time so maybe I would be able to do a better job at finding the issue now.
Maybe I try today, maybe I never try again. we’ll see (it’s not my raspberry pie I using so I am limited in when I can use it. So I rather do what I am ask to first before trying again) -
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@johnnyboy Yes, But it’s not your fault. I have read an entire very long thread about mirror mirror on the wall (and maybe some others, I don’t remember if all the information were on the same spot or not) and it seem that one guy talked about trying that (changing the region) and the creator of the module himself didn’t knew Ireland was possible. But he did point out in which file the region thing was. (it wasn’t had to find though).
So I do think he meant that “that one ‘must’ be in the us-east” because he didn’t knew there was another option.
And he didn’t changed his tutorial to reflect that. (I’m guessing because he wasn’t able to test this way itself. Or maybe he wasn’t willing to) -
@romain hi again!!
I have done some progress. I followed your instructions, created the asound.conf file and setup myTest as the input device in the config.yaml file. When I run alexaPi, now it does not give me a microphone error, but a strange “Capture data too large” error. I get to hear the “hello” sound but when I speak “alexa” it won’t do anything.
Really weird. Here is the full output of main.py execution:
pi@raspberrypi:/opt/AlexaPi/src $ /opt/AlexaPi/src/main.py -d INFO: pocketsphinx.c(152): Parsed model-specific feature parameters from /usr/local/lib/python2.7/dist-packages/pocketsphinx/model/en-us/feat.params Current configuration: [NAME] [DEFLT] [VALUE] -agc none none -agcthresh 2.0 2.000000e+00 -allphone -allphone_ci no no -alpha 0.97 9.700000e-01 -ascale 20.0 2.000000e+01 -aw 1 1 -backtrace no no -beam 1e-48 1.000000e-48 -bestpath yes yes -bestpathlw 9.5 9.500000e+00 -ceplen 13 13 -cmn live batch -cmninit 40,3,-1 41.00,-5.29,-0.12,5.09,2.48,-4.07,-1.37,-1.78,-5.08,-2.05,-6.45,-1.42,1.17 -compallsen no no -debug 0 -dict /usr/local/lib/python2.7/dist-packages/pocketsphinx/model/cmudict-en-us.dict -dictcase no no -dither no no -doublebw no no -ds 1 1 -fdict -feat 1s_c_d_dd 1s_c_d_dd -featparams -fillprob 1e-8 1.000000e-08 -frate 100 100 -fsg -fsgusealtpron yes yes -fsgusefiller yes yes -fwdflat yes yes -fwdflatbeam 1e-64 1.000000e-64 -fwdflatefwid 4 4 -fwdflatlw 8.5 8.500000e+00 -fwdflatsfwin 25 25 -fwdflatwbeam 7e-29 7.000000e-29 -fwdtree yes yes -hmm /usr/local/lib/python2.7/dist-packages/pocketsphinx/model/en-us -input_endian little little -jsgf -keyphrase alexa -kws -kws_delay 10 10 -kws_plp 1e-1 1.000000e-01 -kws_threshold 1 1.000000e-10 -latsize 5000 5000 -lda -ldadim 0 0 -lifter 0 22 -lm -lmctl -lmname -logbase 1.0001 1.000100e+00 -logfn -logspec no no -lowerf 133.33334 1.300000e+02 -lpbeam 1e-40 1.000000e-40 -lponlybeam 7e-29 7.000000e-29 -lw 6.5 6.500000e+00 -maxhmmpf 30000 30000 -maxwpf -1 -1 -mdef -mean -mfclogdir -min_endfr 0 0 -mixw -mixwfloor 0.0000001 1.000000e-07 -mllr -mmap yes yes -ncep 13 13 -nfft 512 512 -nfilt 40 25 -nwpen 1.0 1.000000e+00 -pbeam 1e-48 1.000000e-48 -pip 1.0 1.000000e+00 -pl_beam 1e-10 1.000000e-10 -pl_pbeam 1e-10 1.000000e-10 -pl_pip 1.0 1.000000e+00 -pl_weight 3.0 3.000000e+00 -pl_window 5 5 -rawlogdir -remove_dc no no -remove_noise yes yes -remove_silence yes yes -round_filters yes yes -samprate 16000 1.600000e+04 -seed -1 -1 -sendump -senlogdir -senmgau -silprob 0.005 5.000000e-03 -smoothspec no no -svspec 0-12/13-25/26-38 -tmat -tmatfloor 0.0001 1.000000e-04 -topn 4 4 -topn_beam 0 0 -toprule -transform legacy dct -unit_area yes yes -upperf 6855.4976 6.800000e+03 -uw 1.0 1.000000e+00 -vad_postspeech 50 50 -vad_prespeech 20 20 -vad_startspeech 10 10 -vad_threshold 2.0 2.000000e+00 -var -varfloor 0.0001 1.000000e-04 -varnorm no no -verbose no no -warp_params -warp_type inverse_linear inverse_linear -wbeam 7e-29 7.000000e-29 -wip 0.65 6.500000e-01 -wlen 0.025625 2.562500e-02 INFO: feat.c(715): Initializing feature stream to type: '1s_c_d_dd', ceplen=13, CMN='batch', VARNORM='no', AGC='none' INFO: acmod.c(166): Using subvector specification 0-12/13-25/26-38 INFO: mdef.c(518): Reading model definition: /usr/local/lib/python2.7/dist-packages/pocketsphinx/model/en-us/mdef INFO: mdef.c(531): Found byte-order mark BMDF, assuming this is a binary mdef file INFO: bin_mdef.c(336): Reading binary model definition: /usr/local/lib/python2.7/dist-packages/pocketsphinx/model/en-us/mdef INFO: bin_mdef.c(516): 42 CI-phone, 137053 CD-phone, 3 emitstate/phone, 126 CI-sen, 5126 Sen, 29324 Sen-Seq INFO: tmat.c(149): Reading HMM transition probability matrices: /usr/local/lib/python2.7/dist-packages/pocketsphinx/model/en-us/transition_matrices INFO: acmod.c(117): Attempting to use PTM computation module INFO: ms_gauden.c(127): Reading mixture gaussian parameter: /usr/local/lib/python2.7/dist-packages/pocketsphinx/model/en-us/means INFO: ms_gauden.c(242): 42 codebook, 3 feature, size: INFO: ms_gauden.c(244): 128x13 INFO: ms_gauden.c(244): 128x13 INFO: ms_gauden.c(244): 128x13 INFO: ms_gauden.c(127): Reading mixture gaussian parameter: /usr/local/lib/python2.7/dist-packages/pocketsphinx/model/en-us/variances INFO: ms_gauden.c(242): 42 codebook, 3 feature, size: INFO: ms_gauden.c(244): 128x13 INFO: ms_gauden.c(244): 128x13 INFO: ms_gauden.c(244): 128x13 INFO: ms_gauden.c(304): 222 variance values floored INFO: ptm_mgau.c(476): Loading senones from dump file /usr/local/lib/python2.7/dist-packages/pocketsphinx/model/en-us/sendump INFO: ptm_mgau.c(500): BEGIN FILE FORMAT DESCRIPTION INFO: ptm_mgau.c(563): Rows: 128, Columns: 5126 INFO: ptm_mgau.c(595): Using memory-mapped I/O for senones INFO: ptm_mgau.c(838): Maximum top-N: 4 INFO: phone_loop_search.c(114): State beam -225 Phone exit beam -225 Insertion penalty 0 INFO: dict.c(320): Allocating 138824 * 20 bytes (2711 KiB) for word entries INFO: dict.c(333): Reading main dictionary: /usr/local/lib/python2.7/dist-packages/pocketsphinx/model/cmudict-en-us.dict INFO: dict.c(213): Dictionary size 134723, allocated 1016 KiB for strings, 1679 KiB for phones INFO: dict.c(336): 134723 words read INFO: dict.c(358): Reading filler dictionary: /usr/local/lib/python2.7/dist-packages/pocketsphinx/model/en-us/noisedict INFO: dict.c(213): Dictionary size 134728, allocated 0 KiB for strings, 0 KiB for phones INFO: dict.c(361): 5 words read INFO: dict2pid.c(396): Building PID tables for dictionary INFO: dict2pid.c(406): Allocating 42^3 * 2 bytes (144 KiB) for word-initial triphones INFO: dict2pid.c(132): Allocated 21336 bytes (20 KiB) for word-final triphones INFO: dict2pid.c(196): Allocated 21336 bytes (20 KiB) for single-phone word triphones INFO: kws_search.c(406): KWS(beam: -1080, plp: -23, default threshold -225, delay 10) 2017-04-26 19:58:32 DEBUG: Setting up playback handler: SoxHandler 2017-04-26 19:58:32 INFO: Checking Internet Connection ... 2017-04-26 19:58:32 DEBUG: Starting new HTTPS connection (1): api.amazon.com 2017-04-26 19:58:33 DEBUG: https://api.amazon.com:443 "GET /auth/o2/token HTTP/1.1" 404 29 2017-04-26 19:58:33 INFO: Connection OK 2017-04-26 19:58:33 INFO: AVS token: Requesting a new one 2017-04-26 19:58:33 DEBUG: Starting new HTTPS connection (1): api.amazon.com 2017-04-26 19:58:34 DEBUG: https://api.amazon.com:443 "POST /auth/o2/token HTTP/1.1" 200 980 2017-04-26 19:58:34 INFO: AVS token: Obtained successfully 2017-04-26 19:58:34 DEBUG: Stopping audio play 2017-04-26 19:58:34 DEBUG: Stopped play. No SoX process to stop 2017-04-26 19:58:34 DEBUG: Playing audio: /opt/AlexaPi/src/resources/hello.mp3 Exception in thread Thread-1: Traceback (most recent call last): File "/usr/lib/python2.7/threading.py", line 810, in __bootstrap_inner self.run() File "/usr/lib/python2.7/threading.py", line 763, in run self.__target(*self.__args, **self.__kwargs) File "/opt/AlexaPi/src/alexapi/triggers/pocketsphinxtrigger.py", line 70, in thread _, buf = inp.read() ALSAAudioError: Capture data too large. Try decreasing period size 2017-04-26 19:58:34 DEBUG: Started play. sox -q /opt/AlexaPi/src/resources/hello.mp3 -t alsa default vol -6 dB pad 0 0 2017-04-26 19:58:36 DEBUG: Finished play.Thank you very much for your patience @romain
Best regards,
Gerardo
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@borrigan Try to let “default” as an input device rather than myTest. The default thing will be in charge to call myTest itself (I think putting myTest directly doesn’t work for some weird reason I don’t now about)
Do you hear the “hello” when you run the script ?
If you still have the error after using the default, then ty to change you input handler from sox to vlc.I don’t think that’s related but at this point trying stuff might be the right thing x) Maybe that will fix it. -
@romain finally got it working by replacing myTest with default as you indicated. Than you so very much!! One short glitch though, sometimes Alexa’s phrases can not be heard completely. For example, at boot time I can hear “o” instead of “hello”. Same happens when talking to her.
But it is working!! Now time to test MMM-AlexaPi
Thanks again @romain
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@borrigan you’r welcom =)
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@romain quick question, I’ve noticed that Alexa takes a few seconds to answer, sometimes around 20 seconds. Does this happen to you as well? Could it be a slow internet connection. Thanks again!
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@borrigan It happen to me as well. MMM-alexa seem a little faster but it’s a pain to use so I rather wait few second for an answer
