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Unlocking the power of ASR: From transcription hassles to business advantages
In the ever-evolving landscape of innovation in Artificial Intelligence (AI), speech-to-text technology, or Automatic Speech Recognition (ASR), is a shining example of progress.
Kensho launches Word Error Rate Calculator
WER Calculator is for Automated Speech Recognition Developers to Determine Accuracy of Transcription Outputs
Word Error Rate primer
Word Error Rate (WER) is a commonly used metric to judge the accuracy of Automatic Speech Recognition (ASR) systems. It is the ratio of errors in the ASR’s transcription to the total number of words spoken. Although there are other metrics to measure how well an ASR system is performing, WER is a relatively simple but actionable metric that allows us to compare ASR systems to one another, and evaluate an individual ASR system’s accuracy over time.
Maximizing accuracy in speech-to-text transcription with custom dictionaries for automated speech recognition (ASR)
Kensho Scribe permits users to input custom dictionaries in an intuitive and self-service way. Custom dictionaries make ASR models work for your niche industry, and Kensho makes it easy to input your own dictionary with no software experience.
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