Google Cloud Platform1.18 млн
Опубликовано 13 сентября 2022, 23:00
With support for 73 distinct languages, and 137 different local variants, the Speech-to-Text API allows you to quickly and accurately convert audio to text. In this video, we’ll walk you through the best tips and tricks for lowering your word error rate when using the Speech-to-Text API to transcribe audio files into text. Watch along to learn how you can boost your automated speech recognition accuracy without having to train your own custom model.
Chapters:
0:00 - Intro
0:48 - What is Speech-to-Text API?
1:11 - Speech-to-Text API quickstart demo
1:47 - How do you measure output accuracy?
2:53 - Tips for checking accuracy at scale
3:49 - Improving accuracy with the Speech Adaption API
6:42 - Wrap up
Speech-to-Text API Documentation → goo.gle/3Bo4JEQ
Measuring and Improving Speech Accuracy Lab → goo.gle/3cOD2eR
🏗️ Check out the playlist for more helpful AI hints → goo.gle/DeployingAI
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
#DeployingAI
Chapters:
0:00 - Intro
0:48 - What is Speech-to-Text API?
1:11 - Speech-to-Text API quickstart demo
1:47 - How do you measure output accuracy?
2:53 - Tips for checking accuracy at scale
3:49 - Improving accuracy with the Speech Adaption API
6:42 - Wrap up
Speech-to-Text API Documentation → goo.gle/3Bo4JEQ
Measuring and Improving Speech Accuracy Lab → goo.gle/3cOD2eR
🏗️ Check out the playlist for more helpful AI hints → goo.gle/DeployingAI
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
#DeployingAI
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