Amazon Transcribe

 Amazon Transcribe is an automatic speech recognition service that makes it simple to add speech-to-text capabilities to any application through the use of a web-based interface. By utilizing these features, you may ingest audio input, produce transcripts that are simple to read and review, increase accuracy through customization, and filter information to protect client privacy.

How is it useful?

Audio Inputs

Transcribe is meant to process live and recorded audio or video input to produce high-quality transcriptions that can be searched and analyzed by other programs or individuals. It also provides APIs that are specifically designed to understand customer calls (Amazon Transcribe Call Analytics) and medical discussions (Amazon Transcribe Medical Conversations and Amazon Transcribe Medical).

Transcription in Real Time and in Batches

Processing of existing audio recordings is possible as well as streaming of audio for real-time transcription. When you join the service through a secure connection, you can transmit an audio stream to it and receive a stream of text back in response.

Models that are Particular to a Domain

Choose a model that is capable of receiving telephone calls or streaming multimedia video content. Transcribe, for example, is capable to adapting to low-fidelity phone audio, which is frequent in contact centers.

Language Recognition that is Automated

When listening to an audio file, you may use Amazon Transcribe to automatically detect the prevailing language and create transcriptions of it. In case your media library contains audio files in a variety of languages, this feature will come in handy. Use this tool for media content classification as well as to ensure that the primary spoken language in your movies and podcasts is correctly identified.

Amazon Transcribe Features

Simple to Read Transcripts

Amazon Transcribe helps you to create reliable transcripts that are simple to read, review, and connect into your specialized applications using cloud-based technology. We are working to ensure that the output is ready for downstream activities such as call transcript analysis, subtitling, and content search, among others.

Normalization of Punctuation and Numbers

Amazon Transcribe automatically adds punctuation and number formatting to the output, resulting in output that is comparable to hand transcribing at a fraction of the time and cost. In addition, numbers are transcribed into digits or “normal form” rather than being written out in words.

Creation of Timestamps

With Amazon Transcribe, each word is associated with a timestamp, allowing you to quickly locate a certain word or phrase in the original recording or add subtitles to a video recording.

Multi-speaker Recognition

In order to accurately record events such as telephone calls, meetings, and television shows, automatic recognition and attribution of speaker changes are used. 

Identification of the Channel

The service allows contact centers to send a single audio file to Amazon Transcribe, and the service will automatically identify and produce a single transcript that is tagged with channel labels.

Customize the Output of your Program.

Precision is essential, and Amazon offers a variety of alternatives for tailoring transcripts to your specific business goals and vernacular. As an added convenience, Transcribe provides up to ten alternative transcriptions for each sentence, allowing you to rapidly select the most appropriate option for your content and domain. This is useful for workflows including human in-the-loop subtitling.

Customized Vocabulary

Through the use of custom vocabulary, you can add new words to the base vocabulary, allowing you to generate more accurate transcriptions for domain-specific words and phrases such as product names, technical terminology, and the names of specific individuals.

Language Models Created Specifically for You

Amazon Transcribe allows you to send a corpus of text data to the service and use it to construct and train your own custom language model (CLM) for your use case and domain. Using your own data, CLM is a useful feature for improving the accuracy of voice recognition.

Filtering Based on Vocabulary

With vocabulary filtering, you may define a list of words that should be removed from transcripts. Using Amazon Transcribe, you can specify a list of obscene or objectionable words, and Amazon Transcribe will automatically delete those words from transcripts.

Content Redaction / PII Redaction on an Automatic Basis

When asked, Amazon Transcribe can assist customers in identifying and redacting sensitive personally identifiable information (PII) from transcripts in any of the supported languages. This makes it simple for contact centers to analyze and share transcripts in order to get insight into the customer experience and to train agents.

Protection of Personal Information

Amazon S3 key (SSE-S3) or your own AWS Key Management Service key can be used to protect data at rest. Authenticated connections and secure data transport over the internet via HTTP are made possible by Amazon Transcribe’s usage of TLS (Transport Layer Security) 1.2, a cryptographic technology that uses AWS certificates to encrypt data in transit during transmission. This includes live transcriptions in real time.

Call Analytics for Amazon Transcribe

With Amazon Transcribe Call Analytics, you can extract conversation information such as call sentiment and speech loudness in order to increase agent productivity and customer service.

Retrieve In-Depth Call Analytics and Conversation Insights

You can swiftly deploy speech-to-text and natural language processing skills to unearth significant conversation insights by harnessing the power of machine learning. Afterwards, you may include information such as customer and agent attitude as well as discovered issues and speech characteristics such as non-talk time, interruptions, and talk-speed into your inbound and outgoing call analytics apps. This can assist your supervisors in identifying possible client issues, agent coaching opportunities, and call trends more quickly.

Automated Call Classification to Improve Compliance and Monitoring.

Track the compliance of your calls at a large scale to ensure that they comply with business policy or regulatory requirements. You can create and train your own custom categories that are based on the criteria you specify (for example, words/phrases or conversation features). If you want to know what percentage of calls are upsells or account cancellations, you may set up category labels to track that information.

Produce Detailed Phone Transcripts

Allow your agents to see the details of previous contacts by providing them with access to the conversation information. The turn-by-turn transcripts include information on client sentiment, difficulties that were discovered, and interruptions that occurred.

Keep critical client information safe.

Information about customers like as names, addresses, credit card and social security numbers are frequently exchanged during conversations with them. Transcribing Call Analytics helps customers detect and redact this information from both audio and text recordings, according to the company.

Amazon Medical Transcription Service

Transcribe Medical, a HIPAA-compliant automatic speech recognition (ASR) service, makes it simple to transcribe your medical interactions in real time. A real-time stream or a batch transcription task are both options for transcribing clinician-dictated medical notes with Amazon Transcribe Medical on the Amazon cloud. The ability to transcribe audio files in batches is provided via batch transcription jobs. It is necessary to identify the medical specialization of the clinician in your transcribing job or stream in order to ensure that Amazon Transcribe Medical generates transcription results that are as accurate as feasible.

Pricing

Amazon Transcribe is a pay-as-you-go service that charges you based on the number of seconds of audio transcribed per month. When you use the Amazon Transcribe Free Tier, it’s simple to get started. Immediately after signing up, you can begin analyzing up to 60 audio minutes per month for free for the first 12 months. 

You can use Amazon Transcribe for free as part of the AWS Free Tier, which is available to all customers. The Amazon Transcribe Free Tier will be available to you for a period of 12 months, beginning on the day on which you submit your first transcription request with Amazon Transcribe. It is computed each month across all AWS Regions, with the exception of the AWS GovCloud Region, and automatically applied to your payment; any unused monthly consumption will not roll over to the following month’s calculation. When your free usage ends or if your application usage exceeds the free usage tier, you simply pay standard, pay-as-you-go service prices for the remainder of your time on the service. The Amazon Transcribe API, which supports both streaming and batch transcriptions, is charged on a monthly basis. 

You have the option of using Automatic Content Redaction to redact sensitive material such as personally identifiable information (PII) for your transcription needs  if necessary. Depending on the pricing tiers listed, you will be invoiced monthly for the additional charges. Regional price rates and discounts differ, and you can find out what they are by selecting your location from the drop-down menu.

Use Case Examples

Amazon Transcribe Call Analytics

The use of Transcribe Call Analytics allows businesses to gain significant insight into customer and agent sentiment, call driver patterns, and conversation characteristics such as non-talk  time (including interruptions), loudness (including volume), and speak speed. Using keywords, phrases, sentiment, and non-talk time, the automatic call categorization capabilities categorizes and tags phone conversations. It is possible to store the JSON formatted output of the API call in your Amazon Simple Storage Service (Amazon S3) bucket. Contact centre supervisors can use this information to gain a better understanding of customer-agent  interactions, discover trends in issues, and measure performance metrics. The API can also assist consumers in detecting and redacting sensitive information from both call transcripts and audio recordings, including names, addresses, and credit card information.

How it Works:

Amazon Transcribe Medical

Amazon Transcribe Medical, which is powered by cutting-edge machine learning, accurately transcribes medical terminologies such as medication names, procedures, and even ailments  or diseases, among other things. In addition to transcription of physician-patient discussions for clinical documentation, Amazon Transcribe Medical may record phone calls in pharmacovigilance and subtitling telehealth consultations among a variety of other applications.

Amazon Transcribe Medical is available as a collection of public APIs that can be used to address both batch workloads and real-time speech-to-text applications. Amazon Transcribe Medical is a service provided by Amazon. The service is HIPAA-compliant and places a strong emphasis on patient data privacy and security. In addition to primary care and specialist care, Amazon Transcribe Medical provides transcribing expertise in fields such as cardiology, neurology, obstetrics and gynecology, pediatrics, oncology, radiology, and urology.

How it Works:

 

Conclusion

Amazon Transcribe is an easy and inexpensive way to convert speech to text. There are countless ways that this program is useful to businesses from all walks of life. Transcribe allows you to extract important information that may have been missed in a business meeting and gain customer insight by monitoring calls with clients. Content creators can now use Amazon Transcribe to convert audio and video clips into a searchable archive for discovery and moderation which may help with monetization. All in all, this simple to use program is simple to use, accurate, and cost-effective.