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# Speech Separation
Speech separation is the task of obtaining clean, single-speaker speech from a speech mixture of multiple overlapping speakers.
## Task Objective
**Why is this task needed…
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At least one user is hesitant to use Clean because she thinks (maybe true?) it takes longer for the client to:
- get a first phone call
- conduct the interview
- get enrolled
We should consider track…
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I don't know whether it's premature to do so, but since we're thinking about how Flux interacts with AD, I tried out a few very simple cases. Exactly the same cases as in https://github.com/EnzymeAD/E…
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Use scipy.optimize.linear_sum_assignment instead.
FutureWarning)
Running tracking
Using tracking threshold for out threshold! 0.3
Fix size testing.
training chunk_sizes: [32]
input h w: 512 5…
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Thanks for your amazing work!
after extensive search I found that your framework is one of the best in computer vision object tracking.
everything is very neat and organized. and the source code is …
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@Paul92, when attempting to run BundleFusion, the following error is encountered:
```
`CuTexImage::InitTexture: invalid device symbol`
/home/mihai/Projects/slambench2/benchmarks/bundlefusion/src/or…
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Currently we track fft, sampler, and cg-spare for compiler performance testing: https://chapel-lang.org/perf/chapcs/?suite=compilerperformance
None of these are tests that we care about and they do…
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`pi spawn` can store its results as json documents in S3. Currently they all just get dumped into one bucket without much structure.
An interface to benchmark results is needed - this is potentiall…
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With #123, we've a pretty solid infrastructure to automate this. However, running the tests automatically is not useful enough, we should be considering several other things as well.
For instance, …
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It would be good to have a script to do some sort of performance benchmarking...
Ideally against some known quantity (e.g. nginx and/or haproxy).
This can start off as a script that can be run m…