APM-QA tool, renaming noise generators into input-reference generators.

webrtc/modules/audio_processing/test/py_quality_assessment/README.md

 # APM Quality Assessment tool
 
 Python wrapper of `audioproc_f` with which quality assessment can be
 automatized. The tool allows to simulate different noise conditions, input
 signals, APM configurations and it computes different scores.
 Once the scores are computed, the results can be easily exported to an HTML page
 which allows to listen to the APM input and output signals and also the
 reference one used for evaluation.
 
 ## Dependencies
@@ skipping 28 matching lines @@
    - e.g., `$ export POLQA_PATH=/var/opt/PolqaOem64`
  - Deploy the AIR Database and set the `AECHEN_IR_DATABASE_PATH` environment
  variable
    - e.g., `$ export AECHEN_IR_DATABASE_PATH=/var/opt/AIR_1_4`
  - Deploy probing signal tracks into
    - `out/Default/py_quality_assessment/probing_signals` (*1)
  - Deploy noise tracks into
    - `out/Default/py_quality_assessment/noise_tracks` (*1, *2)
 
 (*1) You can use custom files as long as they are mono tracks sampled at 48kHz
-     encoded in the 16 bit signed format (it is recommended that the tracks are
-     converted and exported with Audacity).
+encoded in the 16 bit signed format (it is recommended that the tracks are
+converted and exported with Audacity).
 
-(*2) Adapt `EnvironmentalNoiseGenerator._NOISE_TRACKS` accordingly in
-     `out/Default/py_quality_assessment/quality_assessment/noise_generation.py`.
+(*2) Adapt `EnvironmentalNoiseTestDataGenerator._NOISE_TRACKS` accordingly in
+`out/Default/py_quality_assessment/quality_assessment/test_data_generation.py`.
 
 ## Usage (scores computation)
 
  - Go to `out/Default/py_quality_assessment`
  - Check the `apm_quality_assessment.sh` as an example script to parallelize the
    experiments
  - Adjust the script according to your preferences (e.g., output path)
  - Run `apm_quality_assessment.sh`
  - The script will end by opening the browser and showing ALL the computed
    scores
 
 ## Usage (export reports)
 
 Showing all the results at once can be confusing. You therefore may want to
 export separate reports. In this case, you can use the
 `apm_quality_assessment_export.py` script as follows:
 
  - Set --output_dir to the same value used in `apm_quality_assessment.sh`
  - Use regular expressions to select/filter out scores by
     - APM configurations: `--config_names, -c`
     - probing signals: `--input_names, -i`
-    - noise generators: `--noise_generators, -n`
+    - test data generators: `--test_data_generators, -t`
     - scores: `--eval_scores, -e`
  - Assign a suffix to the report name using `-f <suffix>`
 
 For instance:
 
 ```
 $ ./apm_quality_assessment-export.py \
   -o ~/data/apm_quality_assessment \
   -e \(polqa\) \
   -n \(echo\) \
@@ skipping 12 matching lines @@
 Depending on the license, the POLQA tool may take “breaks” as a way to limit the
 throughput. When this happens, the APM Quality Assessment tool is slowed down.
 For more details about this limitation, check Section 10.9.1 in the POLQA manual
 v.1.18.
 
 In case of issues with the POLQA score computation, check
 `py_quality_assessment/eval_scores.py` and adapt
 `PolqaScore._parse_output_file()`.
 The code can be also fixed directly into the build directory (namely,
 `out/Default/py_quality_assessment/eval_scores.py`).