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Future of DeepSpeech / STT after recent changes at Mozilla

discourse.mozilla.org

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Re: Future of DeepSpeech / STT after recent changes at Mozilla

#11
post #6

Where does it say DeepSpeech is on hold? I don't see that anywhere.

Submitted title was "Mozilla to put DeepSpeech project on hold". We've replaced that with the article title per this guideline: "Please use the original title, unless it is misleading or linkbait; don't editorialize." https://news.ycombinator.com/newsguidelines.html

Re: Future of DeepSpeech / STT after recent changes at Mozilla

#12
post #3

Maybe we should try to find a list of exactly what they are focussing on going forward instead of the slow drip of things they’re cutting back on (servo, MDN, DeepSpeech...) It’s a sad sad day when you have an organisation getting hundreds of millions in funding and turning away from what’s its good at. The decline has begun in my eyes, it may not become apparent for a few years yet.

Is now a good time for someone to write the "Unbundling Mozilla" start-up post on substack? I'd love to see something cogent written up about it. Something like this[0]?

[0] - https://latecheckout.substack.com/p/the-guide-to-unbundling-...

EDIT: Add link

Re: Future of DeepSpeech / STT after recent changes at Mozilla

#13

I don’t know what is going to save Mozilla, really I don’t. I just wish there was a way to “reach” them and discuss how we the internet community could come to an agreement about what they could do to derive value we would pay for. It’s not for a lack of trying on their part for sure, but it feels like just using their browser isn’t all there is to it any more

Building B2B services around rust ie. onsite training, consulting, development to me seems better than firing people - what am I missing here?

Re: Future of DeepSpeech / STT after recent changes at Mozilla

#14
I see a lot of what appears to be over reaction... doesn’t sound like deepspeech is ending in the first part of the announcement

“ Most of the technical changes were already landed, and we see no reason not to ship it. We’ll be releasing 1.0 soon and encourage everyone to update their applications”

So looks like at least 1.0 is near and still gonna happen... I know these seem like dark times for Mozilla but I believe they will survive. As I recall the decline of Netscape was a pretty dark time and out of that came Phoenix - er Firefox and here we are today... I’m sure Mozilla and many of the great projects will survive

Re: Future of DeepSpeech / STT after recent changes at Mozilla

#15
post #3

Maybe we should try to find a list of exactly what they are focussing on going forward instead of the slow drip of things they’re cutting back on (servo, MDN, DeepSpeech...) It’s a sad sad day when you have an organisation getting hundreds of millions in funding and turning away from what’s its good at. The decline has begun in my eyes, it may not become apparent for a few years yet.

Cutting out DeepSpeech seems sensible to me, it’s out of place in the general portfolio of products.

It would be nice if Mozilla could tell us what their focus is going to be, but I doubt that Mozilla management know at this point.

At this point I’m somewhat concerned that Firefox will be irrelevant in fives years, and I don’t currently feel that Mozilla is communicating clearly that they still care about Firefox. I assume they must, but it would be comforting to know that Firefox is still at the core of Mozillas strategy.

Re: Future of DeepSpeech / STT after recent changes at Mozilla

#16

I don’t know what is going to save Mozilla, really I don’t. I just wish there was a way to “reach” them and discuss how we the internet community could come to an agreement about what they could do to derive value we would pay for. It’s not for a lack of trying on their part for sure, but it feels like just using their browser isn’t all there is to it any more

Building B2B services around rust ie. onsite training, consulting, development to me seems better than firing people - what am I missing here?

Almost all company-sponsored programming languages are run as loss leaders to enable selling some other profitable product of the company. What is the profitable product that Rust enables?

Re: Future of DeepSpeech / STT after recent changes at Mozilla

#18
post #16

Earlier quoted context omitted.

Building B2B services around rust ie. onsite training, consulting, development to me seems better than firing people - what am I missing here?

Almost all company-sponsored programming languages are run as loss leaders to enable selling some other profitable product of the company. What is the profitable product that Rust enables?

> What is the profitable product that Rust enables?

Surely that's Firefox?

Re: Future of DeepSpeech / STT after recent changes at Mozilla

#19
post #9

Does anyone know of other open-source projects in the speech-to-text space? DeepSpeech was one of the most promising projects, especially the latest versions...

Try https://github.com/alphacep/vosk-api. It supports 10 languages, works on Android and RPi and also has big and more accurate server models.

Other good ones are https://github.com/daanzu/kaldi-active-grammar and https://talonvoice.com/

There are toolkits for research like https://github.com/kaldi-asr/kaldi, https://github.com/espnet/espnet, wav2letter, Espresso, Nvidia/Nemo, https://github.com/didi/athena. You can try them too if you want to go deep. Some of them have interesting capabilities.

Re: Future of DeepSpeech / STT after recent changes at Mozilla

#20
post #9

Does anyone know of other open-source projects in the speech-to-text space? DeepSpeech was one of the most promising projects, especially the latest versions...

There are a lot of open source projects in this space. DeepSpeech is actually one of the outsiders (they are not represented well in the academic community), and also not quite competitive to other software (at least last time I checked).

E.g. some very active projects are:

* Kaldi (https://github.com/kaldi-asr/kaldi/) obviously, probably the most famous one, and most mature one. For standard hybrid NN-HMM models and also all their more recent lattice-free MMI (LF-MMI) models / training procedure. This is also heavily used in industry (not just research).

* ESPnet (https://github.com/espnet/espnet), for all kind of end-to-end models, like CTC, attention-based encoder-decoder (including Transformer), and transducer models.

* Espresso (https://github.com/freewym/espresso).

* Google Lingvo (https://github.com/tensorflow/lingvo). This is the open source release of Googles internal ASR system, and used by Google in production (their internal version of it, which is not too much different).

* NVIDIA OpenSeq2Seq (https://github.com/NVIDIA/OpenSeq2Seq).

* Facebook Fairseq (https://github.com/pytorch/fairseq). Attention-based encoder-decoder models mostly.

* Facebook wav2letter (https://github.com/facebookresearch/wav2letter). ASG model/training.

* (RETURNN (https://github.com/rwth-i6/returnn) and RASR (https://github.com/rwth-i6/rasr), our own, although this is currently free for academic use only. It is used in production as well. Supports hybrid NN-HMM, CTC, end-to-end attention-based encoder-decoder, transducer, etc.)

And there are much more.

You will also find lots of ready-to-use trained models.

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