pattern recognizers
speech recognizers
face recognizers
gesture recognizers
handwriting recognizers
train recognizers
speech recognizers now handle background noise better than ever.
the team tested the recognizers under real-world conditions.
we trained the recognizers on a large dataset of calls.
modern recognizers can process audio in real time.
after a software update, the recognizers became more accurate.
the engineers tuned the recognizers to reduce false positives.
we integrated the recognizers into the customer support app.
the recognizers struggled with heavy accents at first.
to improve performance, we fine-tuned the recognizers for our domain.
the lab benchmarked several recognizers for speed and memory use.
our qa team validated the recognizers against a gold standard.
the company deployed the recognizers at scale across all regions.
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