jcsilva/asr-benchmark
Benchmark of industrial Speech Recognition systems for Brazilian Portuguese
This project helps researchers and engineers evaluate how well different speech recognition systems perform for Brazilian Portuguese. You input audio files and their correct transcriptions, and it outputs detailed error rates (Word Error Rate and Sentence Error Rate) for popular services like IBM, Microsoft, and Google. It's designed for anyone working with speech technology who needs to compare the accuracy of commercial ASR systems for this specific language.
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Use this if you need to objectively compare the performance of different commercial Automatic Speech Recognition (ASR) systems for Brazilian Portuguese audio.
Not ideal if you're looking for a simple, out-of-the-box solution to transcribe audio without needing to benchmark systems, or if your primary interest is in languages other than Brazilian Portuguese (though it can be adapted).
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Aug 21, 2017
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