Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_large_lv60_phoneme_timit_english_timit_4k_002_pipeline is a English model originally trained by excalibur12.
How to use
pipeline = PretrainedPipeline("wav2vec2_large_lv60_phoneme_timit_english_timit_4k_002_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wav2vec2_large_lv60_phoneme_timit_english_timit_4k_002_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | wav2vec2_large_lv60_phoneme_timit_english_timit_4k_002_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.2 GB |
References
https://huggingface.co/excalibur12/wav2vec2-large-lv60_phoneme-timit_english_timit-4k_002
Included Models
- AudioAssembler
- Wav2Vec2ForCTC