What about this czech wav-file

[ChristianUndCo]

this czech wav file seems to be hard to transcribe for Whisper
At the start there is music and then speech. But the srt is full of trash.

https://drive.google.com/file/d/11npsQDnMiAV_Y-OsgHtLwfqxQaZriKMI/view?usp=share_link

Any chance to get a right srt from it? Do you think whisper will do that properly one day?
I used it with large model and Subtitle Edit.

[indokid9999]

The first output i received was "main: WAV file 'E:\documents\Arabela 2 fehlende Szene.wav' must be 16 kHz"
Im using version 1.1.0+ and base model.

After converting the wav to 16khz i then ran
(Im guessing that whisper auto detected the language and translated to english.)

main -m \documents\whisper-bin-x64\models\ggml-base.bin -f "E:\documents\ Arabela.wav" -t 1 -osrt

[00:00:00.000 --> 00:00:10.000] [MUSIC]
[00:00:10.000 --> 00:00:12.580] (gentle music)
[00:00:39.160 --> 00:00:46.720] When a person is happy, happy as a crying person, Peter was not allowed to be a child, and the first big animal was born.
[00:00:46.720 --> 00:00:53.920] When the baby was changed, the baby and the baby were in high school and the baby had a baby.
[00:00:53.920 --> 00:00:57.720] Peter was a successful child, but he was not allowed to be a child.
[00:00:57.720 --> 00:01:07.760] Imagine how when he was not a child, when the baby was afraid of the child and suddenly he was afraid of the child, that he would use it and the child would be afraid of the child.
[00:01:08.080 --> 00:01:10.880] You're a popular person, so you can go to TV.
[00:01:10.880 --> 00:01:15.480] The day has always been a fun day, so I'm sure you'll enjoy it.
[00:01:15.480 --> 00:01:18.080] - Bye! - Bye!
[00:01:18.080 --> 00:01:21.080] - Bye! - Bye!
[00:01:21.080 --> 00:01:25.080] - What's wrong with you? - I'm done with the work.
[00:01:25.080 --> 00:01:28.080] You're going to the hospital.
[00:01:28.080 --> 00:01:34.080] - Well, I'm going to the hospital. - You're not going to the hospital.
[00:01:34.080 --> 00:01:36.660] (soft music)
[00:01:36.660 --> 00:01:39.240] (soft music)
[00:01:39.240 --> 00:01:41.820] (gentle music)
[00:01:41.820 --> 00:01:44.400] (gentle music)
[00:01:44.400 --> 00:01:51.920] (speaking in foreign language)
[00:01:51.920 --> 00:01:52.760] (sighs)
[00:01:52.760 --> 00:01:56.100] (speaking in foreign language)
[00:01:56.100 --> 00:01:58.680] (gentle music)
[00:02:11.280 --> 00:02:13.280] I'm the one who's going to tell you everything.
[00:02:13.280 --> 00:02:19.280] You're the one who's not going to listen to me.
[00:02:19.280 --> 00:02:25.280] I'm going to take a shower.
[00:02:25.280 --> 00:02:27.280] I'm going to get a shower.
[00:02:27.280 --> 00:02:29.280] [Spanish]

The next run ended up as a trancription . Note the "-l cs" option.

main -m \documents\whisper-bin-x64\models\ggml-base.bin -f "E:\documents\Arabela.wav" -t 1 -l cs -osrt

00:00:00,000 --> 00:00:28,000 [MUSIK]
00:00:28,000 --> 00:00:38,000 [MUSIK]
00:00:38,000 --> 00:00:42,000 Když je člověk šťastní časleti jako splášený,
00:00:42,000 --> 00:00:47,000 Petr s Arabelaus se a ně ne nadály a první velké výročí je zde.
00:00:47,000 --> 00:00:52,000 Když se za tu dobů změnilo, zvon děká a maženky se stali v sokoškoláci
00:00:52,000 --> 00:00:54,000 a pání majerova oho dověla.
00:00:55,000 --> 00:00:57,600 všichni minále s sem ale ani a dáme na nezahali.
00:00:57,600 --> 00:01:01,600 Spomináte si, jak když si tajně s nědlákov se k masso zbíle hodá
00:01:01,600 --> 00:01:03,200 a porozumněla řeči zbířat?
00:01:03,200 --> 00:01:07,600 Teď toho vyžívá a překláda chováte u zbířat rozhovori s jejich mělačky.
00:01:07,600 --> 00:01:10,600 Stala se populární a bystupuje do konce v TV.
00:01:10,600 --> 00:01:15,400 Dnes si však udělala volno tak významně výročí se přece musího slavit.
00:01:15,400 --> 00:01:17,800 - Většen! - Ano!
00:01:17,800 --> 00:01:22,400 - Ahoj! - Cytak brzy?
00:01:23,000 --> 00:01:28,000 A nezkončerizom nezkada když ty grundujěš, zrovná nezkou.
00:01:28,000 --> 00:01:30,000 No, příc.
00:01:30,000 --> 00:01:32,000 No, co je s to?
00:01:32,000 --> 00:01:34,000 Inže nevíš pro zrovná nezkane.
00:01:34,000 --> 00:01:49,000 A ryberou.
00:01:52,000 --> 00:01:54,000 Pytři.
00:01:54,000 --> 00:01:57,000 Pro míň já byslý.
00:01:57,000 --> 00:02:14,000 To jsem teda moc zvědavá, kdo toho lepšichno svěl.
00:02:14,000 --> 00:02:20,000 Ty se zbažně byl sleče pích začeněla.
00:02:20,000 --> 00:02:22,000 [Kříčí]
00:02:22,000 --> 00:02:25,880 Svoje sem váno řek!
00:02:25,880 --> 00:02:27,800 Boč kterou si ál tomu!
00:02:27,800 --> 00:02:29,300 A co pojď porě si a nejpo...

The next run came out a bit different than the first "auto" translation. I don't know why.
Note the options "-l cs" and "-tr Arabela.wav"

main -m \documents\whisper-bin-x64\models\ggml-base.bin -tr "E:\documents\Arabela.wav" -t 1 -l cs -osrt

[00:00:00.000 --> 00:00:29.800] [Music]
[00:00:29.800 --> 00:00:38.800] [Music]
[00:00:38.800 --> 00:00:42.800] When a person is happy, happy, happy as a burden,
[00:00:42.800 --> 00:00:46.800] Peter was not able to give up, and first big hands are everywhere.

[00:00:46.800 --> 00:00:50.800] When he changed his mind, he changed his mind and his wife,
[00:00:50.800 --> 00:00:53.800] and he had a major in high school.
[00:00:53.800 --> 00:00:57.800] Peter was successful, but he was not able to give up.
[00:00:57.800 --> 00:01:07.800] Remember when I was a kid and I was going to take care of him, you
would take care of him and take care of him and talk to him.
[00:01:07.800 --> 00:01:10.800] It became popular and it would be a success in television.
[00:01:10.800 --> 00:01:15.800] I was always doing it right so I was not sure if I would have to d
o it.
[00:01:15.800 --> 00:01:18.800] - What's up? - Hello.
[00:01:18.800 --> 00:01:20.800] Hello.
[00:01:20.800 --> 00:01:24.800] - What's up, Brzy? - I'm here to talk to you.
[00:01:24.800 --> 00:01:26.800] You're going to the hospital?
[00:01:26.800 --> 00:01:28.800] -I'm going to the hospital. -I'm going to the hospital.
[00:01:28.800 --> 00:01:30.800] -I'm going to the hospital. -I'm going to the hospital.
[00:01:30.800 --> 00:01:32.800] -I'm going to the hospital. -I'm going to the hospital.
[00:01:32.800 --> 00:01:34.800] -I'm going to the hospital. -I'm going to the hospital.
[00:01:34.800 --> 00:01:49.800] -I'm going to the hospital.
[00:01:49.800 --> 00:01:53.800] -I'm going to the hospital.
[00:01:53.800 --> 00:01:55.800] I'll try to make it.
[00:01:55.800 --> 00:02:13.800] I'm very proud of this, but I like all the things.
[00:02:13.800 --> 00:02:18.800] You're the most important thing to me.
[00:02:18.800 --> 00:02:20.800] I'll be right back.
[00:02:20.800 --> 00:02:22.800] I'll take you to the hospital.
[00:02:22.800 --> 00:02:24.800] I'll take you to the hospital.
[00:02:24.800 --> 00:02:26.800] I'll take you to the hospital.
[00:02:26.800 --> 00:02:28.800] I'll take you to the hospital.

Hope it helps. Explanations for the difference between the 2 translations would be appreciated.

[ChristianUndCo]

WIth model large an 1.2.0 I've got this srt

1
00:00:00,000 --> 00:00:02,000
 (hudba)

2
00:00:02,000 --> 00:00:04,000
 (hudba)

3
00:00:04,000 --> 00:00:06,000
 (hudba)

4
00:00:06,000 --> 00:00:08,000
 (hudba)

5
00:00:08,000 --> 00:00:10,000
 (hudba)

6
00:00:10,000 --> 00:00:12,000
 (hudba)

7
00:00:39,000 --> 00:00:42,000
 Když je člověk šťastný, čas letí jako splašený.

8
00:00:42,000 --> 00:00:46,000
 Petr s Arabelou se ani nenadáli a první velké výročí je zde.

9
00:00:46,000 --> 00:00:49,000
 Kolik se za tu dobu změnilo?

10
00:00:49,000 --> 00:00:53,000
 Z Honzíka a Marěnky se staly vysokoškoláci a paní Majerová ohdověla.

11
00:00:53,000 --> 00:00:57,000
 Petr je úspěšným vynálezcem, ale ani Arabela nezahálí.

12
00:00:57,000 --> 00:01:03,000
 Vzpomínáte si, jak kdysi tajně snědla kousek masa z bílého hada a porozuměla řeči zvířat?

13
00:01:03,000 --> 00:01:07,000
 Teď toho využívá a překládá chovatelům zvířat rozhovory s jejich miláčky.

14
00:01:07,000 --> 00:01:10,000
 Stala se populární a vystupuje dokonce v televizi.

15
00:01:10,000 --> 00:01:15,000
 Dnes si však udělala volno, tak významné výročí se přece musí oslavit.

16
00:01:15,000 --> 00:01:17,000
 Petře!

17
00:01:17,000 --> 00:01:18,000
 Ano?

18
00:01:18,000 --> 00:01:20,000
 Ahoj.

19
00:01:20,000 --> 00:01:22,000
 Co tak brzy?

20
00:01:22,000 --> 00:01:28,000
 Ani skončili jsem dneska tak dřív, ty gruntuješ? Zrovna dneska?

21
00:01:28,000 --> 00:01:30,000
 No, proč ne?

22
00:01:31,000 --> 00:01:34,000
 No, to je smutné, že nevíš, proč zrovna dneska, ne?

23
00:01:34,000 --> 00:01:49,000
 Arabelo.

24
00:01:49,000 --> 00:01:53,000
 Petře.

25
00:01:53,000 --> 00:01:56,000
 Promiň, já myslel.

26
00:01:57,000 --> 00:01:59,000
 To jsem teda moc zvědavá, kdo tohle všechno sní.

27
00:01:59,000 --> 00:02:05,000
 Ty jsi zvážně myslel, že bych zapomněla?

28
00:02:05,000 --> 00:02:11,000
 Svoje jsem vám už řekl!

29
00:02:11,000 --> 00:02:13,000
 Ať se mi to nezapomínáš!

30
00:02:13,000 --> 00:02:15,000
 Ať se mi to nezapomínáš!

31
00:02:15,000 --> 00:02:17,000
 Ať se mi to nezapomínáš!

32
00:02:17,000 --> 00:02:19,000
 Ať se mi to nezapomínáš!

33
00:02:19,000 --> 00:02:21,000
 Ať se mi to nezapomínáš!

34
00:02:21,000 --> 00:02:23,000
 Ať se mi to nezapomínáš!

35
00:02:24,000 --> 00:02:25,000
 Svoje jsem vám už řekl!

36
00:02:25,000 --> 00:02:27,000
 Odstěhující a hotovou!

37
00:02:27,000 --> 00:02:29,000
 Ale spojď, bude smrtný, pojď!

27
00:01:59,000 --> 00:02:05,000
"Ty jsi zvážně myslel, že bych zapomněla?"

has a very wrong timestamp

" Ať se mi to nezapomínáš!" 6x

and so on

seems a lot of work to do yet for whisper developer