Amazon Transcribe now supports automatic language identification for streaming transcriptions
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Today, we are excited to announce automatic language identification for streaming transcriptions. Until now, you were required to manually identify the dominant language in order to use Transcribe streaming APIs. You can now simply start streaming and Transcribe will detect the dominant language from the speech signal and generate transcriptions in the identified language.
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Today, we are excited to announce automatic language identification for streaming transcriptions. Until now, you were required to manually identify the dominant language in order to use Transcribe streaming APIs. You can now simply start streaming and Transcribe will detect the dominant language from the speech signal and generate transcriptions in the identified language.
Live streaming transcription is used across industries in contact center applications, broadcast events, capturing meeting interactions, and e-learning. If you operate in a country with multiple official languages or across multiple regions, your audio streams can contain different languages. With a minimum of 3 seconds of audio, Transcribe can automatically detect the dominant language and generate transcript without needing humans to specify the spoken language.
You can use Amazon Transcribe automatic language identification for streaming transcriptions in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Seoul), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London) and South America (São Paulo). You can learn more by checking out the Amazon Transcribe documentation page or visit the AWS console to try it out.