https://github.com/dictation-toolbox/dragonfly https://github.com/daanzu/kaldi-active-grammar
With an open system/engine, you can train your own personal speech model. For kaldi-active-grammar (https://github.com/daanzu/kaldi-active-grammar), you can do so without all that much difficulty, although the…
"Everything other than talon has terrible latency": False! I develop kaldi-active-grammar (https://github.com/daanzu/kaldi-active-grammar), a free and open source speech recognition backend, which has extremely low…
I have been coding entirely by voice for approximately 10 years now (by hand long before that). Most of that time I have been using the Dragonfly (https://github.com/dictation-toolbox/dragonfly) library to construct my…
A great demonstration of coding by voice. I want to point out that the Dragonfly library has backends other than the closed/commercial Dragon, and there has been significant progress expanding beyond it recently. I have…
You raise good points. For what it's worth, I think all "invalidated" samples are still included in the distribution (invalidated.tsv), with the number of up and down votes for each (but not the reasoning).
Google is certainly doing some great work with this, both Project Euphonia and other research [0]. However, as far as I know, the Euphonia dataset is closed and only usable by Google. A Common Voice disordered speech…
Gathering, collecting, and publishing such a dataset would be great, and would certainly much improve the baseline speech recognition for people with disordered speech, but it can only help so much without personalizing…
I develop kaldi-active-grammar [0]. The Kaldi engine itself is state of the art and open source, but is focused on research rather than usability. My project has a simple interface and comes with a pretty good open…
For me at least, dictation is actually the more straining mode of speech recognition, as compared to using my command grammars. With dictation, you might say anything, so the computer is given wide leeway in what to…
I agree with everything you said, but I would add that a critical component of voice command and control is strict grammars. There is so much structure and context in what we speak, and being able to limit what can be…
Windows Speech Recognition is far from the best, so perhaps your trouble could be partly caused by how you had to speak in order to be understood, rather than the command style? I used to use WSR to code by voice, and…
I wrote a simple little Python GUI app to record training audio. Given a text file containing prompts, it will choose a random selection and ordering of them, display them to be dictated by the user, and record the…
Too late to edit, but I should probably have noted that KaldiAG also would make it easy to define "contexts" when (groups of) commands are active for recognition. For example, if the TV is on, you could have commands…
I develop Kaldi Active Grammar [1], which is mainly intended for use with strict command grammars. Compared to normal language models, these can provide much better accuracy, assuming you can describe (and speak) your…
If you are willing to do some training, you can get tremendously improved results, in my experience. For what it's worth, my voice is quite abnormal, so most untrained speech recognition is terrible for me, and even…
If they are using Windows, packaging is quite easy: see the winpython distribution of KaldiAG. The more difficult part is writing the commands: it is not hard programming, but it is technical. But if they can describe…
I am all for devising a good, fair apples to apples comparison. If you have any suggestions, let me know. In lieu of that, I use what I have available. While accuracy numbers from papers are informative and interesting,…
Sorry, I was only using the speech engine accuracy as an example. But the freedom of open source stands for any part of software: Dragon's spectacular failures for me are only in part because of its engine. Also, is the…
I said this in another comment, but it can't be emphasized enough: I created Kaldi Active Grammar because I didn't trust relying on closed source software for something so crucial to my productivity, where a decision by…
For what it's worth, my voice is quite abnormal, so most untrained speech recognition is terrible for me, and even performing the normal "training" for Dragon still resulted in very poor accuracy. However, apparently…
https://github.com/dictation-toolbox/dragonfly https://github.com/daanzu/kaldi-active-grammar
With an open system/engine, you can train your own personal speech model. For kaldi-active-grammar (https://github.com/daanzu/kaldi-active-grammar), you can do so without all that much difficulty, although the…
"Everything other than talon has terrible latency": False! I develop kaldi-active-grammar (https://github.com/daanzu/kaldi-active-grammar), a free and open source speech recognition backend, which has extremely low…
I have been coding entirely by voice for approximately 10 years now (by hand long before that). Most of that time I have been using the Dragonfly (https://github.com/dictation-toolbox/dragonfly) library to construct my…
I have been coding entirely by voice for approximately 10 years now (by hand long before that). Most of that time I have been using the Dragonfly (https://github.com/dictation-toolbox/dragonfly) library to construct my…
A great demonstration of coding by voice. I want to point out that the Dragonfly library has backends other than the closed/commercial Dragon, and there has been significant progress expanding beyond it recently. I have…
You raise good points. For what it's worth, I think all "invalidated" samples are still included in the distribution (invalidated.tsv), with the number of up and down votes for each (but not the reasoning).
Google is certainly doing some great work with this, both Project Euphonia and other research [0]. However, as far as I know, the Euphonia dataset is closed and only usable by Google. A Common Voice disordered speech…
Gathering, collecting, and publishing such a dataset would be great, and would certainly much improve the baseline speech recognition for people with disordered speech, but it can only help so much without personalizing…
I develop kaldi-active-grammar [0]. The Kaldi engine itself is state of the art and open source, but is focused on research rather than usability. My project has a simple interface and comes with a pretty good open…
For me at least, dictation is actually the more straining mode of speech recognition, as compared to using my command grammars. With dictation, you might say anything, so the computer is given wide leeway in what to…
I agree with everything you said, but I would add that a critical component of voice command and control is strict grammars. There is so much structure and context in what we speak, and being able to limit what can be…
Windows Speech Recognition is far from the best, so perhaps your trouble could be partly caused by how you had to speak in order to be understood, rather than the command style? I used to use WSR to code by voice, and…
I wrote a simple little Python GUI app to record training audio. Given a text file containing prompts, it will choose a random selection and ordering of them, display them to be dictated by the user, and record the…
Too late to edit, but I should probably have noted that KaldiAG also would make it easy to define "contexts" when (groups of) commands are active for recognition. For example, if the TV is on, you could have commands…
I develop Kaldi Active Grammar [1], which is mainly intended for use with strict command grammars. Compared to normal language models, these can provide much better accuracy, assuming you can describe (and speak) your…
If you are willing to do some training, you can get tremendously improved results, in my experience. For what it's worth, my voice is quite abnormal, so most untrained speech recognition is terrible for me, and even…
If they are using Windows, packaging is quite easy: see the winpython distribution of KaldiAG. The more difficult part is writing the commands: it is not hard programming, but it is technical. But if they can describe…
I am all for devising a good, fair apples to apples comparison. If you have any suggestions, let me know. In lieu of that, I use what I have available. While accuracy numbers from papers are informative and interesting,…
Sorry, I was only using the speech engine accuracy as an example. But the freedom of open source stands for any part of software: Dragon's spectacular failures for me are only in part because of its engine. Also, is the…
I said this in another comment, but it can't be emphasized enough: I created Kaldi Active Grammar because I didn't trust relying on closed source software for something so crucial to my productivity, where a decision by…
For what it's worth, my voice is quite abnormal, so most untrained speech recognition is terrible for me, and even performing the normal "training" for Dragon still resulted in very poor accuracy. However, apparently…