diff --git a/README.md b/README.md
index 9049589..616b903 100644
--- a/README.md
+++ b/README.md
@@ -57,12 +57,12 @@ for segment in segments:
     print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
 ```
 
-## Comparing performance against openai/whisper
+## Comparing performance against other implementations
 
-If you are comparing the performance against [openai/whisper](https://github.com/openai/whisper), you should make sure to use the same settings in both frameworks. In particular:
+If you are comparing the performance against other Whisper implementations, you should make sure to run the comparison with similar settings. In particular:
 
-* In openai/whisper, `model.transcribe` uses a beam size of 1 by default. A different beam size will have an important impact on performance so make sure to use the same.
-* When running on CPU, make sure to set the same number of threads. Both frameworks will read the environment variable `OMP_NUM_THREADS`, which can be set when running your script:
+* Verify that the same transcription options are used, especially the same beam size. For example in openai/whisper, `model.transcribe` uses a default beam size of 1 but here we use a default beam size of 5.
+* When running on CPU, make sure to set the same number of threads. Many frameworks will read the environment variable `OMP_NUM_THREADS`, which can be set when running your script:
 
 ```bash
 OMP_NUM_THREADS=4 python3 my_script.py