Speech-to-Text: Amazon Transcribe vs Azure Speech to Text

Amazon Transcribe
Azure Speech to Text

Amazon Transcribe

Amazon Transcribe is a part of the Amazon Web Services infrastructure. You can analyze your audio documents stored in the Amazon S3 service and get the text made from the audio.

Amazon Transcribe can add punctuation and text-formatting. Another valuable function provided by this service is the support for telephony audio. It is because the audio from the phone conversations often has low quality. So, the developers of Amazon Transcribe considered, that they have to process this type of audio in a specific way. The system adds timestamps for each word in the text. So, you will be able to match each word in the text to the corresponding place in the audio file. It is expected that the API will be able to recognize multiple speakers and label their voices in the text soon. Creating custom words also should be available in a short time. Users will be able to explicitly add, for example, names of their products, or some other specific words.

Azure Speech to Text

Microsoft Azure Speech to Text is one of the most advanced voice-recognition platforms around. As part of Microsoft's Cognitive Speech Services product range, it makes use of deep learning algorithms to overcome poor sound quality and can adapt to diverse speaking styles for accurate audio transcriptions.

The key Azure Speech to Text feature is the access it grants to Microsoft’s powerful natural language processing system. Over the past few years, Microsoft’s speech AI has reached several important milestones. This means it can now complete tasks that were previously impossible for a speech recognition service, such as accurately transcribing cross-talk during small group conversations.

Eden AI

The most effective way to compare these two engines is to test them: the performance can truely depend on your data and your needs. It is to facilitate the testing and use of this type of engine that we have developed Eden AI: a unique API connected to the best AI engines and combined with a powerful management platform.

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