Automatic Speech Recognition
Transformers
Safetensors
French
wav2vec2
audio
speech
phonemize
phoneme
Eval Results (legacy)
Instructions to use Cnam-LMSSC/phonemizer_throat_microphone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cnam-LMSSC/phonemizer_throat_microphone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Cnam-LMSSC/phonemizer_throat_microphone")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Cnam-LMSSC/phonemizer_throat_microphone") model = AutoModelForCTC.from_pretrained("Cnam-LMSSC/phonemizer_throat_microphone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
endangered language
#1
by oiooiioo - opened
Audio AI specialist needed. Whisper AI Google Colab specialist needed 22.00-23.00 New York time paid gig I hope I can post this hear. I desperately need help with a task I waited too long to complete. Audio (2 minutes) file in several languages must be segmented into words and phonemes. The languages are endangered. Maybe also other tools can be used, tricks and help appreciated. Maybe you know someone.
Reposting for a friend, Maybe you know someone.
Thanks for sharing, I'm in touch with your friend!