| Commit message (Collapse) | Author | Age |
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Reorganize locations, remove a couple unused parameters.
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Use a single indicator with 3 states:
1. green: actively speaking
2. orange: waiting for paging
3. red: up-to-date
Use slightly nicer colors.
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This helps with temporal stability in long-running transcriptions, and
lets us get rid of that hack where we refuse to update old pages.
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Zero mistranscribed words. One minor hiccup caused by instability in the
(very long) transcription. I think the paging indicator is also buggy.
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Coarse locking was causing audio frames to drop, severely degrading
transcription quality.
We really need a spoken word integration test.
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Press joystick once to start recording, again to stop. When you start
recording, any previous text on the board is cleared.
Add 2 visual indicators: one to indicate speech, another to indicate
that audio is paging.
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The basic idea is that we can raise the barrier to entry for potential
data miners by encrypting traffic with a pre-shared key. Any data miner
would probably have access to both the compiled shader and network data,
which is obviously sufficient to decrypt that data. But they would have
to spend a little time figuring it out, which should defeat most casual
miners.
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Works a little better on longer transcriptions while maintaining the
same improved performance on short transcriptions.
We really need a benchmark to evaluate performance mechanically.
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After re-reading the paper, I noticed that they apply a couple
optimizations I wasn't using. Use the top-level `whisper.transcribe`
method, which is a little slower, but more accurate than the one I was
using.
Although this method is slower, it has better temporal stability due to
the increased quality, which I think should make for an overall more
responsive UX. Lower transcription quality means the paging layer has to
waste time updating earlier cells.
Also, drop the auto-commit stuff and go back to string stitching. I
think it's better to let the user manually commit. A rework of the hand
controls is probably coming soon.
Finally, update README.
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Board would lock up if you reset after the first page. osc_ctrl.clear()
was assigning the wrong member :)
Tweak continuous transcription logic: now we only commit if the
transcription remains identical for N seconds.
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* Increase no speech probability threshold. This is what was preventing
short transcriptions from working. We rely more on the avg logprob
filter now.
* Remove string matching logic from transcribe. Now when we get 2
consecutive identical transcriptions, we commit the transcription.
This *could* cause words to get cut off but in practice it doesn't seem to
happen.
* Fix steamvr joystick click detection. Moving the joystick would also
fire the event, which is not correct.
* Combine locks in transcribe.py.
* Remove "clear" vocal control.
* osc_ctrl.clear() resets last_message_encoded
* Remove osc_ctrl.sendMessage (unused)
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Add steamvr.py, which listens for the left-hand joystick being clicked.
Simply call pollButtonPress() and check if it returns RISING_EDGE or
FALLING_EDGE. Does not block if there are no events.
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Begin auditing dependencies' licenses.
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English, Japanese, Chinese, and Korean should look much better now.
French, German, and Spanish look like shit now, because I haven't
figured out how to best make Noto Sans stay within its bounding box.
* Use Noto Sans for most things
* Simplify how we enable unicode blocks & assign fonts to them
* Increase string matching window to 300. Works better in real-world
test.
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This slides 2 windows across input strings, looking for a region where
they are most similar. It then uses that region to stitch the strings
together. Since transcribe.py passes in a continuous transcription as
the `old_text` argument, we can wind up spending a lot of time here.
Constrain the area of the `old_text` argument that we look at to the
most recent 50 characters. This should be good enough.
Also fix how we calculate levenshtein_distance. Uh... yeah, let's not
talk about how it was before.
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When fonts completely fill a slot, any pixel touching a perimeter
border gets stretched due to clamping. To avoid this, add a 2% margin
around each slot.
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Generates a string with every character starting from a minimum. Useful
for testing paging and font issues.
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Now we actually maintain an ongoing buffer with what we think is on the
display. When we send a new cell, we update only that cell instead of
overwriting the entire prefix up to that cell.
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fileID check intended to avoid overwriting blendtree animations was too
broad and excluded regular unassigned animations. This was causing an
issue where the display would flicker or fail to show any new text at
all.
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Add a `matchStrings` which does basically the same thing as
`matchStringList` except it doesn't split the input at space boundaries.
I think this should work better for Japanese and Chinese, since they
don't use spaces.
Doesn't seem to cause any accuracy regressions for English.
Also update the README.
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Also adjust letter positioning to avoid clipping.
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Each character is now addressed with 2 bytes instead of 1. The number of
bytes per character is configured in (I think) exactly one spot, so
increasing or decreasing this is trivial. English speakers can just set
it to 1.
The animator seems a little unstable; if I leave my character in a
public for a while, the board becomes unresponsive. Oh well.
* Check in fonts. Did this so users don't have to remember to set the
resolution or to disable mipmaps.
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So far only the first file is used.
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Add code to generate 4k textures holding a bunch of unicode characters.
Add unicode blocks for English, Japanese, Chinese, and Korean.
Embed GNU's excellent Unifont ttf, which I use to generate these
textures. The license is included under $filename.LICENSE.
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My theory as to why this seems to work: VRChat batches parameter updates
together and applies them simultaneously. Thus we don't run into the
expected failure mode where we update the prior region before paging
over to the next region.
* Fix beep feature
* update the STT demo
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Instead of generating one animation for every single character in our
character set, we just generate 2: the lowest and the highest. We use
blend trees to interpolate between these two extremes.
This reduces the number of animations we have to generate by a factor
of 80. It also clears the way for multi-language support (coming soon).
It also means we don't have to reopen unity every time we generate a new
animator.
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Also reduce the number of syncs per cell from 3 to 2. Thus the effective
sync rate went from (10 / 3 == 3.33 Hz) to (5 / 2 == 2.5 Hz).
This comes at the cost of a degraded UX: updating a cell temporarily
shows the contents of the previous cell.
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Apply heuristics described in whisper paper. Dramatically improve
silence detection as well as overall transcription quality.
I was able to read the entire demo script at speed without any serious
transcription inaccuracies.
Field testing is TODO.
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Should further improve reliability, especially in laggy environments.
We'll see!
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The board is divided into 16 regions. We select the region to be updated
by updating 4 boolean parameters. We *used* to define 4 parameters per
layer. Now we just have 4 params total, which affect every layer.
Total param memory: 142 bits -> 102 bits
Params updated per region update: 56 -> 16
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This fixes the faint outline issue at close range (!) at the cost of
making it less legible from far away.
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Use some of pema99's tricks described in their 'shader-knowledge' repo
(MIT license).
* Text is now readable in mirrors
* GetLetterParameter() now uses a jump table instead of a ton of `if`
statements
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It's now twice as wide and half as tall.
* Add small margin to board
* Add simple backplate shader
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Stitching new uses 6 word sliding window instead of 4 word. Seems to
dramatically improve transcription quality.
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When the user says 'over', the board will stop displaying new
transcriptions until the user says 'clear'.
* Remove the control thread from transcribe.py
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The old clear mechanism would write an empty cell in every layer,
which would take (0.3 seconds) * (11 layers) == about 3 seconds.
The new mechanism drives an animation which overwrites every character
slot simultaneously, taking only 0.1 seconds. A nice ~30x speedup.
* Fix the transcription exponential backoff logic. Saying new things
will reset the delay to the minimum again.
* Clearing the board will also reset the transcription delay back to
the minimum.
* Tune the noise detection minimum to 0.2 instead of 0.1. Speaking
softly into the mic seems to fail to exceed the 0.1 threshold pretty
often.
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Transcription stitching now occurs in word space, rather than in text
space. This avoids problems where we accidentally duplicate or delete
letters in the middle of words.
Factor out stitching into its own module and add a small handful of
test cases. Hopefully if we hit problems in production, we can just
grow this list and avoid regressions if we reimplement.
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The heuristics now occur in the filtered word space, so punctuation
and casing changes won't confound them.
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When the user pauses their speech for an extended period of time, the
transcription engine will sleep for progressively longer intervals,
up to 1.5 seconds between transcriptions. This allows us to reduce
idle resource consumption.
To enable responsive transcription while the user is speaking actively,
we reset the sleep duration to the minimum whenever a change is
detected.
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Use this as a submenu
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While the board is clearing, you can keep talking, and it will be
rendered when the board finishes clearing.
* bugfix: STT only beeps when it's out
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Empty cells are excluded from the beeping behavior. Note: I have not
checked in the prefab with the audio source yet.
* libtastt gen_fx now adds 3 toggles to FX layer: toggle board, toggle world
lock, toggle beep sound
* libunity guid_map can now append instead of replacing
* TaSTT_Toggle_{On,Off}.anim now use the prefab path, as do generated
animations
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