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

Amazon Lex declares support for Alphanumeric slot type

Amazon Lex is an AWS Service that creates conversational interfaces into any application with voice and text. Amazon Lex come up with the advanced deep learning practicalities of automatic speech recognition (ASR) for turning speech to text, and natural language understanding (NLU) to identify the object of the text, to allow you to design applications with most occupying user experiences and realistic conversational interactions. Now Amazon Lex gives Alphanumeric slot type enabling you to effortlessly describe slots like flight confirmation code which include union of letters and numbers. Thus far, you had to make a custom slot type with a huge scale of sample values. You can rapidly set up a slot to capture alphanumeric details with the usage of Alphanumeric slot type. Additionally, you can enlarge this slot type to control the user input to a fixed format by defining a regular expression. This Alphanumeric built-in slot type new feature of Amazon Lex is accessible in the US East (N. Virginia), US West (Oregon), EU West (Ireland), and Asia Pacific (Sydney) AWS Regions. To read further about Amazon Lex, refer documentation