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Further, improvements in blind recognition methods have been realised by incorporating denoising strategies, which significantly enhance accuracy in high bit-error-rate environments [3].
Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.
One of the objections to the implementation of speech recognition software in a radiology practice is that it generates more errors than traditional transcription methods, but new research ...
Microsoft's speech recognition systems were assessed against the NIST 2000 Switchboard task, an evaluation that started in 2000 to test conversational speech recognition over the telephone.
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