Friday, 28 February 2020

Automatic content redaction supported by Amazon Transcribe

Amazon Transcribe uses advanced machine learning technologies to identify speech in audio files and transcribe them into text and this process called automatic speech recognition (ASR). For example, you can transcribe the audio track from a video recording to create closed captioning for the video. Similarly, it can be used to transcribe customer service calls, for subtitling, and to create metadata for media resources to produce a completely searchable archive. Now, you can command Amazon Transcribe’s content redaction feature to automatically pull out sensitive personally identifiable information (PII) from your transcription results. State-of-the-art machine learning technology utilised by Amazon Transcribe to correctly recognise and take out PII. PII removed adds social security number, credit card/bank account details and contact details like name, email address, phone number and mailing address. PII redaction allows contact centers to analysis and share transcripts to better the customer service experience, train agents, and find new business chances during retaining their qualities for managing PII. Amazon Transcribe’s redaction feature is purpose-built for recognising PII in conversational transcripts and is most precise for both numeric and non-numeric PII. Now this Automatic content redaction feature is accessible for US English with asynchronous transcription jobs in the following AWS regions: US East (N. Virginia), US West (N. California), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Hong Kong), Asia Pacific (Tokyo), Canada (Central), EU (Frankfurt), EU (Ireland), EU (London), EU (Paris), South America (Sao Paulo), Middle East (Bahrain), and AWS GovCloud (US-West). To know the pricing details, refer Automatic content redaction pricing. And to get further information, read documentation

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