Measuring Speech-to-Text Accuracy avaliações
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Solomon B. · Revisado há about 5 years
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sachin s. · Revisado há about 5 years
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Daniel G. · Revisado há about 5 years
Aarón R. · Revisado há about 5 years
もう少しハンズオンの作業量を多くしてほしかった
敬彦 山. · Revisado há about 5 years
Glen Y. · Revisado há about 5 years
suyono d. · Revisado há about 5 years
学 赤. · Revisado há about 5 years
Olgierd M. · Revisado há about 5 years
Janusz S. · Revisado há about 5 years
Hi, theres a typo in this paragraph* Should read divide - You combine the literal number of each one of these errors and device by the total number of words (N) in the ground truth transcript in order to find the word error rate (WER). This means that the WER can be greater than 100% in situations with very low accuracy.
Jai C. · Revisado há about 5 years
Hi, theres a typo in this paragraph* Should read divide - You combine the literal number of each one of these errors and device by the total number of words (N) in the ground truth transcript in order to find the word error rate (WER). This means that the WER can be greater than 100% in situations with very low accuracy.
Jai C. · Revisado há about 5 years
One GCP Speech-to-text API browser needs to be similar with its syntax for Python and Kotlin/Java CLI running at other browser application
Anshuman M. · Revisado há about 5 years
Dhawal v. · Revisado há about 5 years
Guan Zhen C. · Revisado há about 5 years
Abhishek P. · Revisado há about 5 years
Ping Teng Y. · Revisado há about 5 years
The code doesn't work with the newest version of the Python google speech module
Alexander B. · Revisado há about 5 years
Lim X. · Revisado há about 5 years
got AttributeError: module 'google.cloud.speech_v1' has no attribute 'enums' and stuck with both notebooks
Mikhail C. · Revisado há about 5 years
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