40 lines
1.1 KiB
Markdown
40 lines
1.1 KiB
Markdown
# tpro
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Transcript Processing! `tpro` takes JSON-formatted transcripts produced by
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various speech-to-text services and converts them to various standardized
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formats.
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# STT Services
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- [Speechmatics](https://www.speechmatics.com/)
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- [Amazon Transcribe](https://aws.amazon.com/transcribe/)
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- [Gentle](https://github.com/lowerquality/gentle)
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## Planned
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- [Watson](https://www.ibm.com/watson/services/speech-to-text/)
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- [Google Speech](https://cloud.google.com/speech-to-text/)
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- [Mozilla's new open-source STT thing](https://github.com/mozilla/DeepSpeech)
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# Output Formats
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- [Universal Transcript](https://gist.github.com/zevaverbach/d2b7a19397607677878aa3268fda1002#example) (JSON)
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- [viraloverlay](https://github.com/zevaverbach/viraloverlay) (JSON)
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## Planned
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- Word (`.doc`, `.docx`)
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- text files
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- SRT (subtitles)
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# Installation
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pip install tpro
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## Non-pip Requirement: Stanford NER JAR
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- download the .jar [here](https://nlp.stanford.edu/software/CRF-NER.shtml#Download)
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- put these files in in /usr/local/bin/:
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- stanford-ner.jar
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- english.all.3class.distsim.crf.ser.gz
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