ExternalVendorCode/whisper.cpp
1
0
Fork 0
mirror of https://github.com/ggerganov/whisper.cpp.git synced 2024-12-18 20:27:53 +00:00
Code Issues Actions 4 Packages Projects Releases Wiki Activity

readme : add tinydiarize instructions (#1058)

Browse Source
This commit is contained in:
Georgi Gerganov 2023-07-04 09:51:22 +03:00 committed by GitHub
parent c8d0f5fe98
commit 70e6fcd78b
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 28 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

29
README.md
View File

@ -115,6 +115,7 @@ options:
-lpt N, --logprob-thold N [-1.00 ] log probability threshold for decoder fail
-su, --speed-up [false ] speed up audio by x2 (reduced accuracy)
-tr, --translate [false ] translate from source language to english
-tdrz, --tinydiarize [false ] enable tinydiarize (requires a tdrz model)
-di, --diarize [false ] stereo audio diarization
-nf, --no-fallback [false ] do not use temperature fallback while decoding
-otxt, --output-txt [false ] output result in a text file
@ -493,7 +494,7 @@ main: processing './samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 pr
[00:00:10.020 --> 00:00:11.000] country.
```
## Word-level timestamp
## Word-level timestamp (experimental)
The `--max-len` argument can be used to obtain word-level timestamps. Simply use `-ml 1`:
@ -534,6 +535,32 @@ main: processing './samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 pr
[00:00:10.510 --> 00:00:11.000] .
```
## Speaker segmentation via tinydiarize (experimental)
More information about this approach is available here: https://github.com/ggerganov/whisper.cpp/pull/1058
Sample usage:
```py
# download a tinydiarize compatible model
./models/download-ggml-model.sh small.en-tdrz
# run as usual, adding the "-tdrz" command-line argument
./main -f ./samples/a13.wav -m ./models/ggml-small.en-tdrz.bin -tdrz
...
main: processing './samples/a13.wav' (480000 samples, 30.0 sec), 4 threads, 1 processors, lang = en, task = transcribe, tdrz = 1, timestamps = 1 ...
...
[00:00:00.000 --> 00:00:03.800] Okay Houston, we've had a problem here. [SPEAKER_TURN]
[00:00:03.800 --> 00:00:06.200] This is Houston. Say again please. [SPEAKER_TURN]
[00:00:06.200 --> 00:00:08.260] Uh Houston we've had a problem.
[00:00:08.260 --> 00:00:11.320] We've had a main beam up on a volt. [SPEAKER_TURN]
[00:00:11.320 --> 00:00:13.820] Roger main beam interval. [SPEAKER_TURN]
[00:00:13.820 --> 00:00:15.100] Uh uh [SPEAKER_TURN]
[00:00:15.100 --> 00:00:18.020] So okay stand, by thirteen we're looking at it. [SPEAKER_TURN]
[00:00:18.020 --> 00:00:25.740] Okay uh right now uh Houston the uh voltage is uh is looking good um.
[00:00:27.620 --> 00:00:29.940] And we had a a pretty large bank or so.
```
## Karaoke-style movie generation (experimental)
The [main](examples/main) example provides support for output of karaoke-style movies, where the