DeepSpeech model training

[lissyx ((slow to reply) [NOT PROVIDING SUPPORT])]

Error running session: Invalid argument: Tensor input_lengths:0, specified in either feed_devices or fetch_devices was not found in the Graph

That feels strange, but you are running directly client.py and you don’t share the start of the input, so we cannot check what libdeepspeech.so is actually running.

Please test properly, as documented: set-up a virtualenv and install with pip install deepspeech==0.5.1 and run inference with deepspeech rather than calling client.py directly.

[laxmikant04.yadav]

Hi @lissyx,

I tried it running with interface as well and got the same error.

It works fine with pre-trained (model). i will try with creating new virtual environment .

Thanks!!

[laxmikant04.yadav]

Hi @lissyx,

I tried with creating new virtual environment , still facing same error.

Can it be because i have trained model with very few data-set (2-3 files of 10 sec).Currently i am trying to do a complete POC that’s why i have not trained with large data-set .Please let me know your inputs?

Thanks!!

[lissyx ((slow to reply) [NOT PROVIDING SUPPORT])]

Can it be because i have trained model with very few data-set (2-3 files of 10 sec).Currently i am trying to do a complete POC that’s why i have not trained with large data-set .Please let me know your inputs?

No, that’s something else.

Like …

–nouse_seq_length

[lissyx ((slow to reply) [NOT PROVIDING SUPPORT])]

and yes @laxmikant04.yadav you shared that earlier, but since you kept sharing without proper code formatting, your python command line was unreadable to me and thus I missed that information.

[laxmikant04.yadav]

Tensor input_lengths:0

Thanks @lissyx ,

I went through your reply on post -
[FIXED] Error with master/alpha8 (unknown op: UnwrapDatasetVariant & WrapDatasetVariant)

so currently, i am training without --nouse_seq_length flag.

Those were simple steps i was making a note for myself on text file . I will keep in mind to have proper formatting on my next comments .

Thanks-alot!!

[lissyx ((slow to reply) [NOT PROVIDING SUPPORT])]

so currently, i am training without --nouse_seq_length flag.

You don’t need to retrain, just re-export without that flag.

[laxmikant04.yadav]

Thanks @lissyx .

It worked fine after exporting without “–nouse_seq_length” flag.

Thanks!!!

[laxmikant04.yadav]

HI @lissyx,

I am working on speech recognition with microphone , and i started with below example from deepspeech github repo -

mozilla/DeepSpeech

I could see it’s trying to recognise the speech but accuracy is not coming good for me .
i am working on Ubuntu 16.04 OS on a desktop .

Currently it’s only able to recignise one word that too when spoken very loud and very clear. and failing otherwise .

Could you please suggest what else i should try or where i can look up to increase it’s accuracy.

Our expectations are that it should be able to recognise simple sentances like - “Welcome to speech recognition” . this works perfectly when i try with clean audio files.

Thanks!!!

[lissyx ((slow to reply) [NOT PROVIDING SUPPORT])]

this works perfectly when i try with clean audio files

Looks like you’ve got some hint yourself. Though, you don’t document if those clean audio files are produced by you or if they are from other origin.

Also,

mozilla/DeepSpeech/blob/master/examples/mic_vad_streaming/requirements.txt#L1

It looks like we have not updated that to 0.5.1, maybe it is worth testing if it improves, since this model was trained to be more robust to some noise.

Make sure your system is able to actually capture at mono 16kHz, resampling might get into.

It could also just be a side-effect of your mic, that captures poor quality sound. Besides improving the model, there’s hardly anything we can easily improve.

[lissyx ((slow to reply) [NOT PROVIDING SUPPORT])]

It looks like we have not updated that to 0.5.1, maybe it is worth testing if it improves, since this model was trained to be more robust to some noise.

I’m wrong, 0.5.1 model was not released with noise robustness improvements. But the rest of my comment is valid.

[laxmikant04.yadav]

Thanks @lissyx for your response.

the audio files i mentioned were created by me only usning online tool for text to speech conversion.

Audio files works fine for me , But currently i an working on live streaming via microphone and that is not giving proper accuracy as mentioned.

i will re-check on the mic audio quality .

And yes i noticed deepspeech version in requirment file and i updated it to - 0.5.1 for my local running . It was giving error if i try to execute with version -0.4.1 ,(i think may be because i have deepspeech interface of version 0.5.1)

Thanks!!

[lissyx ((slow to reply) [NOT PROVIDING SUPPORT])]

the audio files i mentioned were created by me only usning online tool for text to speech conversion.

So it’s not you speaking ?

Audio files works fine for me , But currently i an working on live streaming via microphone and that is not giving proper accuracy as mentioned.

i will re-check on the mic audio quality .

Then maybe it is also a problem of accent.

[laxmikant04.yadav]

So it’s not you speaking ?

yes… correct.

Then maybe it is also a problem of accent.

how could i mitigate it . Do i need to train the english model with my accent for example and with back-ground noice as well.

Wanted to check, is you and your team is going to releasing a noice robust model in near future for english.

[lissyx ((slow to reply) [NOT PROVIDING SUPPORT])]

how could i mitigate it . Do i need to train the english model with my accent for example and with back-ground noice as well.

Mostly, yes

Wanted to check, is you and your team is going to releasing a noice robust model in near future for english.

This is something we are working on, but near future I can’t tell.

Maybe try some denoising library in front ?

[rashed.genuity]

Can anyone enlighten me, I am stuck here Fatal Python Error: Segmentation fault.
I am using a vertual environment. and have run DeepSpeech using below .sh file.

This is my error log,

This is my .sh file

[smalissa17]

could you solve it this error .i have the same error.?
how can solve it?

[rashed.genuity]

Yes I have solved it finally

[laxmikant04.yadav]

HI @lissyx ,

I have started to train my model to the actual uses with the Indian ascent , But each time i get early stopping message with the default learning rate and i i increase learning rate to 0.01 or 0.05 it starts to give loss as infinite.

To cross check , i started training with the official English data set download from voice-web site , which is about 30Gb in size . I started training with default parameters for learning rate and epochs and i got same early stop message after 4 epochs .

Could you please guide me in identifying the cause/reason , what i must be missing.

[lissyx ((slow to reply) [NOT PROVIDING SUPPORT])]

Without more informations on your dataset and its size and the other training parameters, it’s hard to give a definitive answer. It’s not unlikely that your learning rate, at least, is wrong, and you should try values like 1e-5 or 1e-6.