Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.phonemizer_soft_in_ear_microphone_pipeline is a French model originally trained by Cnam-LMSSC.
How to use
pipeline = PretrainedPipeline("phonemizer_soft_in_ear_microphone_pipeline", lang = "fr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("phonemizer_soft_in_ear_microphone_pipeline", lang = "fr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | phonemizer_soft_in_ear_microphone_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | fr |
| Size: | 354.3 MB |
References
https://huggingface.co/Cnam-LMSSC/phonemizer_soft_in_ear_microphone
Included Models
- AudioAssembler
- Wav2Vec2ForCTC