TranscRater: a Tool for Automatic Speech Recognition Quality Estimation

@inproceedings{Jalalvand2016TranscRaterAT,
  title={TranscRater: a Tool for Automatic Speech Recognition Quality Estimation},
  author={Shahab Jalalvand and Matteo Negri and Marco Turchi and Jos{\'e} Guilherme Camargo de Souza and Daniele Falavigna and Mohammed R. H. Qwaider},
  booktitle={ACL},
  year={2016}
}
We present TranscRater, an open-source tool for automatic speech recognition (ASR) quality estimation (QE). The tool allows users to perform ASR evaluation bypassing the need of reference transcripts and confidence information, which is common to current assessment protocols. TranscRater includes: i) methods to extract a variety of quality indicators from (signal, transcription) pairs and ii) machine learning algorithms which make possible to build ASR QE models exploiting the extracted… CONTINUE READING

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