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managed_components/78__esp-opus/dnn/torch/testsuite/README.md

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+# lpcnet-testsuite
+
+## setup
+The test script is written for Linux only. It requires sox to be installed and available.
+
+Setup is done as usual via
+
+```
+pip install -r requirements.txt
+```
+
+The test scrip run_warpq_test.py requires a setup file in yaml format, which specifies how
+to generate a wave file OUTPUT from a wave file INPUT sampled resampled to the specified
+sampling rate as a list of shell commands. This makes it easy to test other neural vocoders
+with it as well. Two examples are given in examples. INPUT and OUTPUT will be replaced by using
+the string.format(INPUT=input,OUTPUT=output) method.
+
+Here is one example:
+
+```
+test: "LPCNet reference test"
+processing:
+  - "sox {INPUT} {INPUT}.raw"
+  - "/local/code/LPCNet/lpcnet_demo -features {INPUT}.raw {INPUT}.features.f32"
+  - "/local/code/LPCNet/lpcnet_demo -synthesis {INPUT}.features.f32 {INPUT}.decoded.raw"
+  - "sox -r 16000 -L -e signed-integer -b 16 -c 1 {INPUT}.decoded.raw {OUTPUT}"
+```
+
+The structure of the output folder is as follows:
+
+```
+output_folder
++-- html
+    +-- index.html
+    +-- items
++-- processing
++-- setup.yml
++-- stats.txt
++-- scores.txt
+```
+
+scores.txt contains the WARP-Q scores in descending order (best to worse)
+stats.txt contains mean values over all, the 10 best and the 10 worst items
+setup.yml contains all information to repeat the run
+htms contains a self-contained website displaying the 10 best and 10 worst items
+processing contains processing output