Amazon Transcribe | Using Amazon Transcribe Flashcards
How does Amazon Transcribe interact with other AWS products?
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Amazon Transcribe | Machine Learning
Amazon Transcribe converts audio input into text, which opens the door for various text analytics applications on voice input. For instance, by using Amazon Comprehend on the converted text data from Amazon Transcribe, customers can perform sentiment analysis or extract entities and key phrases. Similarly, by integrating with Amazon Translate and Amazon Polly, customers can accept voice input in one language, translate it into another and generate voice output, effectively enabling multi-lingual conversations. It is also possible to integrate Amazon Transcribe with Amazon Elasticsearch to index and perform text based search across audio/video library.
How will developers access Transcribe?
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Amazon Transcribe | Machine Learning
The easiest way to get started with Amazon Transcribe is through the APIs. Developers can also test the functionality and features from the AWS Transcribe console.
What kind of inputs does Amazon Transcribe support?
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Amazon Transcribe | Machine Learning
Amazon Transcribe supports both 16 Khz and 8Khz audio streams.
What audio formats does Amazon Transcribe support?
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Amazon Transcribe | Machine Learning
Amazon Transcribe supports multiple audio encodings, including WAV, MP3, MP4 and FLAC.
What languages does Amazon Transcribe support?
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Amazon Transcribe | Machine Learning
During preview, Amazon Transcribe supports US English and Spanish. Support for more languages will come in as soon as possible after launch.
What devices does Amazon Transcribe work with?
Using Amazon Transcribe
Amazon Transcribe | Machine Learning
Amazon Transcribe for the most part is device agnostic. In general, Amazon Transcribe works with any device that includes an on-device microphone such as phones, PCs, tablets, and IoT devices (e.g. car audio systems). Amazon Transcribe API will be able to detect the quality of the audio stream being input at the device (8Khz VS 16Khz) and will appropriately select the acoustic models for converting speech-to-text. Furthermore, developers can call Transcribe API through their web/mobile-app/server-side applications to access speech-to-text conversion capability.