Replies: 6 comments 36 replies
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I am tagging you @thiswillbeyourgithub as you were one of the first users to suggest it. |
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https://framagit.org/interhop/murmure/-/blob/main/README.md?ref_type=heads |
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Regarding the dictionnary (not rules):
Can you clarify again how the dictionnary works at the code level? Is it scalable with 100k terms? Will it obliterate generating out of dictionnary words? |
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Regarding the rules, i've been so far curating a pretty good list to make dictation "natural". Things like:
But because it took about 3-7 rules per rule to make it work reliably without regex, I didn't try to create medically related rules until regexes are implemented. |
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While the dictionary can technically handle 1,000+ entries without dropping performance, adding massive datasets (like entire medical databases) will actually degrade the overall recognition accuracy due to phonetic collisions. It also negatively impacts the 'LLM Connect' feature, since these dictionary words are injected into the LLM context. A 'good' candidate for the phonetic dictionary is a high-frequency, everyday word that Parakeet consistently misunderstands and replaces with a specific incorrect word.
I can compile a nightly build for you if you'd like. Just keep in mind it might contain some bugs, and you'll need to replace it once 1.8.0 is officially released. Let me know your OS |
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It’s simply incredible what you managed to achieve in such a short time. Huge congratulations!
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Several of you have mentioned the idea of a custom rule import system, and I’m considering it. Nothing is decided yet.
With version 1.8.0 introducing regex support in custom rules, this could make advanced configurations more flexible. I’m exploring whether it would make sense to allow importing custom rules and possibly custom dictionaries as well, especially for specific professional fields such as healthcare.
If you work in the medical field and use custom rules or a custom dictionary (for medications, abbreviations, specific terminology, etc.), feel free to share the actual rules you are using. This will help me assess whether this feature would be useful and worth implementing.
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