@Navodplayer1

Thanks for interesting project.

Could you please tell why speechlib can't recognize speakers here?
(i don't need names, but speaker 1 and speaker 2 will do :)
voice folder is provided, but empty...)

Update: now that i look at output, i see that speaker recognition took 0 seconds. I assumed if voice files not provided it will at least recognize speaker 1 / speaker 2. (without names = folder name of each speaker). Or am i wrong?

Code and files:

from speechlib import Transcriptor
file = "/content/drive/MyDrive/Colab Notebooks/PaypalCEOAlexChrissW.mp3"
voices_folder = "/content/drive/MyDrive/Colab Notebooks/voices"
language = "en"
log_folder = "/content/drive/MyDrive/Colab Notebooks/logs"
modelSize = "large"
quantization = False
transcriptor = Transcriptor(file, log_folder, language, modelSize, voices_folder, quantization)
res = transcriptor.transcribe()

Screenshot_2024年01月22日_16-11-53

output_2024年01月22日.txt

Github doesn't allow to upload mp3 file... let me see if i can find a way :)

update: https://whyp.it/tracks/152176/paypalceoalexchrissw?token=qX9Th

By the way, i justed wanted to transcript interview in swedish, provided mp3 file, but forgot to change language (it was left as language = "en")

So speechlib did transcript AND translation :)
and seems accurate. That's amazing.

Still no corect speaker 1, speaker 2 (all are "unknow")

@gety9 you can leave the voices_folder as empty string "" . then you will get SPEAKER_00, SPEAKER_01 ... etc. let me know if this solved your issue.

speechlib is great!
Can we use WeSpeaker onnx models for diarization? Now I need wespeaker/voxblink2_samresnet100_ft.onnx