Error after pip3 install upgrade e

[JRMeyer]

>>> SeaLiteral
[January 18, 2021, 3:42pm]

It seems, if I want to get DeepSpeech to transcribe anything that isn't
in English, I first have to train a model for that language. And right
now I don't have enough audio to do that from scratch for Danish, but
fine-tuning the English model to better understand my accent seemed like
a thing I could try in the meantime, so I read the documentation at
> and did all
the stuff before 'pip3 install slash --upgrade -e .' But that's as far as I
can get. When I run that, it first seems to install some stuff, then
writes the following in red: slash
ERROR: Could not find a version that satisfies the requirement
tensorflow==1.15.4 (from deepspeech-training==0.10.0a3) (from versions:
2.2.0rc1, 2.2.0rc2, 2.2.0rc3, 2.2.0rc4, 2.2.0, 2.2.1, 2.2.2, 2.3.0rc0,
2.3.0rc1, 2.3.0rc2, 2.3.0, 2.3.1, 2.3.2, 2.4.0rc0, 2.4.0rc1, 2.4.0rc2,
2.4.0rc3, 2.4.0rc4, 2.4.0)

ERROR: No matching distribution found for tensorflow==1.15.4 (from
deepspeech-training==0.10.0a3)

After re-reading the instructions several times, and even redoing some
steps, and after searching here, I found a few people mentioned similar
things, and one who seemed to have had the same problem had managed to
solve it by following some instructions that someone linked to in the
documentation. Unfortunately, that link leads to a 404 page now, and the
only thing in the instructions that looks like it could be a problem is
the CUDA thing (I don't think my laptop has an NVIDIA GPU, and it does
seem to have a sticker that says something about AMD and graphics, so
I'm guessing it doesn't also have an NVDA GPU, it's not a gaming
laptop).

Oh, and in case it matters, I'm using Ubuntu, seems to be 20.04.1 LTS,
and sorry, but I don't remember which day of the week it was when I
installed it.

Am I missing something obvious?

[This is an archived TTS discussion thread from discourse.mozilla.org/t/error-after-pip3-install-upgrade-e]

[JRMeyer]

>>> reuben
[January 18, 2021, 3:48pm]

That version list starts with TensorFlow 2.2.0rc1, which is the first
version to add support for Python 3.8, which makes me think you're
running Python 3.8. For now, our training code requires Python 3.6 or
3.7.

[Archived Post]

[JRMeyer]

>>> othiele
[January 18, 2021, 4:07pm]

I usually don't advertise other engines, but have you tried
DanSpeech? They even have a
published model, once a DTU project. A bit dated and trained with some
Norwegian as well as data from Folketinget, but maybe ok for your use
case. And they might move to DeepSpeech at some point
I think I had read that somewhere.

Apart from that, set up a 3.7 environment or search here in the forum
for 3.8 and you'll find some resources. And please don't use 0.7.4 docs,
but the current ones.

[Archived Post]

[JRMeyer]

>>> SeaLiteral
[January 18, 2021, 5:40pm]

Can one message here be a reply to two messages? slash
Thanks! So that was what I was
missing, the Python version.

Thanks! I guess that engine
might be useful for Danish. But I'll still have to figure out how to get
better accuracy in English with my accent. Do I also need an older
version of Python to be able to fine-tune the scorer file? If not, then
I might want try that.

I guess I might also wait and see if DeepSpeech gets to work 'properly'
with Python 3.8. I feel like to get a reasonable accuracy in Danish, I
could have to wait until there's more audio to train with anyway.

And about the documentation, I wonder how I ended up reading an old
version. Maybe I followed a link from one of the posts here on Discourse
or something like that.

[Archived Post]

[JRMeyer]

>>> othiele
[January 18, 2021, 5:43pm]

> how to get better accuracy in English with my accent. Do I also need
> an older version of Python to be able to fine-tune the scorer file?

Search this forum for accents, the English model works really well for
American English. Not so well for other speakers. Think of a
Copenhagener trying a model from Jutland

[Archived Post]

[JRMeyer]

>>> SeaLiteral
[January 19, 2021, 6:49pm]

It seems I will have to fine-tune the English model to get it to
recognize it. But I managed to use Python 3.7, so now I'm hopefully a
bit closer to doing that. Hopefully I won't need a GPU. And I also
managed to make a scorer package, increasing the accuracy a bit, but it
only got better at recognizing words that were already somewhat common
in English.

Also, how do I deal with speech in one language containing names from
another country? Do I need to train it with audio of those, or can I
just put them in the scorer language/model training text (maybe
misspelling it on purpose to show how it would be spelled if it were in
the language of the speech around it, and then I'd have to post-process
the output to replace the wrong spelling with the correct one). I hope
that's not a dumb question, I probably know more about linguistics than
about machine learning.

[Archived Post]

[JRMeyer]

>>> othiele
[January 19, 2021, 7:30pm]

> I hope that's not a dumb question, I probably know more about
> linguistics than about machine learning.

Nope, words in a different language are a problem. You need enough of
them in your training material (thousands) and then you can recognize
them. You could try to trick the scorer and replace it afterwards, but
that sounds a bit hacky ...

If you let us know what you want to do, we can say more.

[Archived Post]