English banglaasr_bangla_speech_processing_pipeline pipeline WhisperForCTC from bangla-speech-processing

Description

Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.banglaasr_bangla_speech_processing_pipeline is a English model originally trained by bangla-speech-processing.

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How to use


pipeline = PretrainedPipeline("banglaasr_bangla_speech_processing_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("banglaasr_bangla_speech_processing_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: banglaasr_bangla_speech_processing_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 1.7 GB

References

https://huggingface.co/bangla-speech-processing/BanglaASR

Included Models

  • AudioAssembler
  • WhisperForCTC