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Unable to do dynamic time warping with anything more than small subset #7
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I have had the same issue but I am on a mac and I am unsure how to run the JAR file in my command window. Does anyone have information for how to do this? |
Hi JoanSpin: |
Hi Rob,
I am running all my data, which is about 15,000 elements. I am using a
friend's PC that should be powerful enough (32 GB of DDR4 RAM, AMD Ryzen 7
5800X). I did open Luscinia from the command prompt, having it use 16 GB of
RAM and there are no errors when I check measurements. I leave it running
and the program keeps freezing or says not responding during the Statistics
Setting step. Is this an issue with processing power? or should I not let
the computer displays turn off? I've tried to run it a few times and can't
seem to troubleshoot what the issue is.
Do you have any suggestions? I included a photo of the command prompt and
task manager - it's currently not responding at the statistics setting step.
Best,
Joan
[image: image.png]
…On Thu, Feb 22, 2024 at 9:13 AM Robert Lachlan ***@***.***> wrote:
Hi JoanSpin:
(1) To run from the Terminal, navigate to the folder where Luscinia is,
then use java -jar Luscinia.jar to launch the program.
(2) If the analysis is jumping through the analysis without actually
completing, it is likely that there is some issue with the measurements
that's causing problems. To assess that, try the "Check Measurements"
analysis before running the analysis. It should indicate any measurement
issues that are causing problems. If this is unclear, please feel free to
follow up via email or here.
Rob
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I'm working with a relatively large dataset (~1,500 songs with ~20 syllables each), and I'm unable to do dynamic time warping with anything more than a small subset of the data (~250 songs). Basically, when I use the subset the progress bar appears and I eventually end up with normal output. When I use the full dataset there is no progress bar and the window immediately switches to the next with no output. Do you have any recommendations? My computer has 16 GB of RAM, and I've already tried running the JAR file with the -Xmx command to increase memory.
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