Measuring Speech-to-Text Accuracy Reviews

Solomon B. · Reviewed about 5 years ago

Junbeom S. · Reviewed about 5 years ago

Samarth A. · Reviewed about 5 years ago

Naina R. · Reviewed about 5 years ago

sachin s. · Reviewed about 5 years ago

Sunil P. · Reviewed about 5 years ago

Daniel G. · Reviewed about 5 years ago

Aarón R. · Reviewed about 5 years ago

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. · Reviewed about 5 years ago

Glen Y. · Reviewed about 5 years ago

suyono d. · Reviewed about 5 years ago

学 赤. · Reviewed about 5 years ago

Olgierd M. · Reviewed about 5 years ago

Janusz S. · Reviewed about 5 years ago

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. · Reviewed about 5 years ago

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. · Reviewed about 5 years ago

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. · Reviewed about 5 years ago

Dhawal v. · Reviewed about 5 years ago

Guan Zhen C. · Reviewed about 5 years ago

Abhishek P. · Reviewed about 5 years ago

Ping Teng Y. · Reviewed about 5 years ago

The code doesn't work with the newest version of the Python google speech module

Alexander B. · Reviewed about 5 years ago

Lim X. · Reviewed about 5 years ago

got AttributeError: module 'google.cloud.speech_v1' has no attribute 'enums' and stuck with both notebooks

Mikhail C. · Reviewed about 5 years ago