How to get more "love" word into VOSK?

Hi, weird title I know. I'm trying to use VOSK on some tennis recordings where scores like "fifteen love" comes up. Sadly the model I am using is not great at picking up the "love" element, whether before or after. I have read that there are options to enhance word identification however I don't know if this will work ( and whilst there are some docs on how to adjust this, it looked a little beyond my capability, so I am posting this question first to get feedback).

The reason why I think this will NOT work is because I have built 2 VOSK models and simply changed the vocab. In the second, "love" is almost the only word in the custom dictionary, and there I can see that where this is picked up (timestamp) is in the middle of the prior word (ie fifteen).

Below my screen shots:
Full grammer model output - fifteen is picked up between 23,82 & 24.208

Love Grammar model output - love is picked up at 24.15 (ie in the middle of the above)

My planned approach is to run the model twice, each time outputting the word and the elements of result into a table to be able to construct the phrase. The only challenge here is that it double the run time.

My question is whether the enhancements of the language / specific grammar / increased probabilities will help resolve this issue. I have the same issue with "fifteen all" and there my solution doesn't work as "all" or a soundalike doesn't get picked up by a separate model.

I can provide example sound clips if that helps you help me.

My code:
```
def text_from_audio_v3( path, file, lang, location):
os.chdir("D:/OneDrive/DataSci/Tennis/02_Preprocessing/Voice/VSOK/" + location)
from pydub import AudioSegment
# wf = AudioSegment.from_file(path + file)
wf = wave.open(path + file, "rb")
model = Model("model")

if lang == "English":
# rec = KaldiRecognizer(model, wf.getframerate(), '["love", "fifteen","thirty","forty","deuce", "mistake","winner","double", "fault", "second", "serve", "let","advantage", "my"]')
# rec = KaldiRecognizer(model, wf.getframerate(),
# '["love", "fifteen","thirty","forty","deuce", "mistake","winner","double fault", "second serve", "let"," my advantage","your advantage","all","game"]')
rec = KaldiRecognizer(model, wf.getframerate(),
'["fifteen","love", "thirty","or","all", "forty", "deuce","juice", "game","mistake","winner","forced","second", "my advantage","your advantage", "his advantage" ]')
# '["love","all", "or" ]')
# '["love", "fifteen","thirty","forty","deuce", "mistake","winner","forced","second", "my advantage","your advantage", "his advantage","all","each","game" ]')
# rec = KaldiRecognizer(model, wf.getframerate(), '["eins", "null", "fehler"]')
# rec = KaldiRecognizer(model, wf.getframerate(), '["second", "serve", "love", "fifteen", "mistake", "thirty", "winner"]')
results = []
while True:
data = wf.readframes(4000)
if len(data) == 0:
break
if rec.AcceptWaveform(data):
print(rec.Result())

results.append(json.loads(rec.FinalResult())['text'])
pprint.pprint(results)
return results
```