Autocorrect and voice to text thinks has is “Hass” every time

Yes, I am an enthusiastic apple/Mac long time fan and user, but this one failure on their part is motivating me to go try out an android.

And this isn't a Siri issue, cause I hardly ever use Siri.

I use voice-to-text primarily to, well, type text. I see no algorithmic reason why a simple word like has should be interpreted as Hass? Likewise, when I say the word "when" it should not default to Nguyen or Winn. 99.999% or the time people want the more common interpretation.

I think what aggravates us iPhone users so much isn't that there's errors in voice recognition, that is expected, it's the dumbness of the errors. I understand an "in" turned into "and" but I NEVER want to type the words Hass, Nguyen, or Winn. It seems the default interpretation would be the vastly more common, not the vastly less common?

Every update I hope Apple addresses this issue, and they don't, and it's a good 50% of how I actually use my phone. So yes, it's a critical function for me.

At this point, I think it is intentional demoralization to create an army of slave consumers that hate their own country and selves.

Mine changes “when” to “Nguyen” and adds commas, in the most, unnecessary places. It makes me want to do some extreme ducking things.

The particular issue you mentioned, where Siri types "has" instead of "Hass" could be attributed to how the speech recognition system parses and interprets the audio input. It's possible that Siri's algorithms may occasionally encounter difficulty in accurately distinguishing between the separate words and instead interpret them as two distinct words.

The accuracy and performance of voice dictation can be influenced by contextual factors. Context plays a significant role in speech recognition systems as they rely on patterns, language models, and statistical algorithms to interpret spoken words.

Contextual factors that can impact the accuracy of voice dictation include:

1. Words that sound similar but have different spellings and meanings can lead to errors in transcription. For example, "some" and "sum" or "thing" and "think" might be misinterpreted due to their similar pronunciation.
2. The structure and grammar of a sentence can affect how speech recognition systems interpret and transcribe spoken words. Unusual or complex sentence structures, grammatical errors, or incorrect word order can potentially lead to transcription errors.
3. Voice recognition systems may have a predefined vocabulary and be trained on specific language models. If you use domain-specific or technical terms that are not part of the system's training data, it might struggle to accurately transcribe those words.
4. Different users may have distinct speech patterns, accents, or pronunciation, which can affect the accuracy of voice dictation. Speech recognition systems typically adapt and improve over time by learning from individual user data.

It's worth noting that advancements in machine learning and artificial intelligence have enabled voice recognition systems to become more contextually aware. These systems utilize deep learning techniques and large datasets to improve accuracy by considering broader linguistic and contextual information.

However, despite advancements, speech recognition systems can still occasionally make errors, and the accuracy can vary depending on the specific implementation, device, and software version. Regular iOS updates may improve performance and address common issues.

Yes, this is infuriating. I am never talking about an avocado, let alone in every text message there Hass to be a fix or a workaround.

Funny that I have put up with this for so long because every time I see it it is annoying, but I know that the context will get through, but decided to finally do a search because it is just the stupidest thing that a word is common as “HAS“ is auto corrected to a capitalized word then no one uses. So idiotic but I guess I feel a little better that this is common.