- Local time
- 7:17 AM
- Posts
- 5,715
- OS
- Windows 10 Pro + others in VHDs
Being deaf, I rely a lot on subtitles but many even fairly new offerings on Amazon Prime come without subtitles which is quite pathetic as virtually all major shows in the last decade are subtitled.
So I have been experimenting with live captions which are not as good as proper subtitles. The main thing is homonyms "Ewe Khan knot bee Sirius" (as McEnroe used to say) e.g. Windows Live Captions as I using British Windows always state cheque rather than check evenwhen the context is "I will check that".
Also when people slur their words (e.g. Italian New Yorkers are really bad at this - of course Scottish is from a different planet LOL) the live captions get scrambled - in other words when you most need them is the time they fail badly.
Overall, I have found Windows Live Captions on pc are generally more accurate than Google live captions on a mobile phone/tablet.
However, where Windows scores is you can configure the subtitle bar as a relatively thin "one line ticker tape" at the bottom of the screen and you only use a small percentage of the screen at the bottom.
Google captions by contrast are very chunky, and you lose a lot of space on the screen, and you cannot resize like Windows. This makes using google live captions pretty much a waste of time.
However, I like watching videos on my mobile phone for personal convenience, so now I set up the video and subtitles on my laptop, and connect to laptop remotely (using RDP). This also has a major advantage for me as my laptop streams the audio directly to my hearing aids as well and is much clearer.
What is really needed is that any video is buffered along with the audio, so the transcriber has a few seconds to properly transcribe. Now this would be one really useful AI (I hate that phrase) development. Syncing would be a challenge.
So I have been experimenting with live captions which are not as good as proper subtitles. The main thing is homonyms "Ewe Khan knot bee Sirius" (as McEnroe used to say) e.g. Windows Live Captions as I using British Windows always state cheque rather than check evenwhen the context is "I will check that".
Also when people slur their words (e.g. Italian New Yorkers are really bad at this - of course Scottish is from a different planet LOL) the live captions get scrambled - in other words when you most need them is the time they fail badly.
Overall, I have found Windows Live Captions on pc are generally more accurate than Google live captions on a mobile phone/tablet.
However, where Windows scores is you can configure the subtitle bar as a relatively thin "one line ticker tape" at the bottom of the screen and you only use a small percentage of the screen at the bottom.
Google captions by contrast are very chunky, and you lose a lot of space on the screen, and you cannot resize like Windows. This makes using google live captions pretty much a waste of time.
However, I like watching videos on my mobile phone for personal convenience, so now I set up the video and subtitles on my laptop, and connect to laptop remotely (using RDP). This also has a major advantage for me as my laptop streams the audio directly to my hearing aids as well and is much clearer.
What is really needed is that any video is buffered along with the audio, so the transcriber has a few seconds to properly transcribe. Now this would be one really useful AI (I hate that phrase) development. Syncing would be a challenge.
My Computer
System One
-
- OS
- Windows 10 Pro + others in VHDs
- Computer type
- Laptop
- Manufacturer/Model
- ASUS Vivobook 14
- CPU
- I7
- Motherboard
- Yep, Laptop has one.
- Memory
- 16 GB
- Graphics Card(s)
- Integrated Intel Iris XE
- Sound Card
- Realtek built in
- Monitor(s) Displays
- N/A
- Screen Resolution
- 1920x1080
- Hard Drives
- 1 TB Optane NVME SSD, 1 TB NVME SSD
- PSU
- Yep, got one
- Case
- Yep, got one
- Cooling
- Stella Artois
- Keyboard
- Built in
- Mouse
- Bluetooth , wired
- Internet Speed
- 72 Mb/s :-(
- Browser
- Edge mostly
- Antivirus
- Defender
- Other Info
- TPM 2.0