Amazon Transcribe

With Amazon Transcribe, it has been effective to extract actionable insights from clients' chats which advance engagements in real-time.

• Audio input tools such as batch and streaming transcription.
• Custom vocabulary: Help add new words to simplify transcripts.
• Vocabulary filtering tools.
• Data protection features.

• Support video files, so we save time as we do not need to change them to audio contents.
• Automatic redaction of PII (personally identifiable information)
• Real-time data processing reduces human hours needed to transcribe.

Nuance Dragon Speech Recognition

We use Amazon Transcribe to help the KYC process for digital certificates by transforming key phrases from speech to text during an authentication video. We need a fast and reliable system to transform our users' speech to text in a way that we can validate various outputs of this process via APIs and issue a final approval or denial of the user request.

• Security.
• Efficiency.
• Integrating it via APIs.

• Cost reductions in KYC automating our video approvals.
• Better customer service.
• A good base for building new products and services around speech to text.

AWS Lambda, AWS Batch, AWS Certificate Manager

Our company began with AWS Transcribe when looking for a way to improve both the productivity of our agents and our customer experience. Transcribe is an easy way to quickly convert human speech into a readable (and reportable) test that helps us pull helpful data from. The functionality is nice as it lets you sort based on keywords or interruptions. One benefit we've seen is the ability to use both real-time transcribing and transcribing of finished audio files. The service is very feature-rich and provides many new options we haven't found in other services (such as allowing it to detect multiple speakers during a meeting, and track interruptions from sales agents). The tool is useful, particularly if you are able to use all of the features it offers.

• Speech to Text (both live audio or uploaded audio files).
• Ability to search for text within an audio transcript.
• Ability to redact or remove private information from transcripts.

• Cost savings due to time savings
• Ability to catch issues quickly and coach staffing
• Ability to track conversation model usage via scripts, and view responses to make changes in realtime

Aircall

We are using Amazon Transcribe extensively to transcribe conversations with our customers. We are also utilizing it in in-house video demos and presentations to add subtitles. The business problems we address are inclusive of reduced labor (if transcription were to be done manually in entirety). It is quite easy to implement and its integration with our existing databases was quite simple.

• Live recording.
• Personal identifiable information redaction feature.

• Working in the backend, I would say the most important ROI has been data security through implementation of enterprise-grade technical and physical controls which prevent unauthorized access to our content.

Playbook AI

I use Amazon Transcribe in order to facilitate my video translation, transcription, and direct translation tasks. Instead of typing everything and wasting ages doing so, Amazon Transcribe does that in a very short time. Some speakers have heavy accents, and this service helps me to figure out most of the challenges in the tasks.

• Fast
• Automated

• It can transcribe different specialized fields.

Google Cloud Speech-to-Text

Google Cloud Speech-to-Text