AWS Transcribe Video and Audio Transcription Process
Around the world, businesses need a fast and reliable method to transcribe a video or audio file usually in multiple languages. The audio and video content can vary from a product demonstration, job interviews, news broadcasts, or call center phone interactions. The traditional manual method used for transcription is not only expensive but lengthy too. But now it has become easier with Amazon’s Transcribe service.
What is AWS Transcribe?
AWS Transcribe is an automatic speech recognition service provided by Amazon Web Services (AWS). Transcribe has made it possible to add speech to text capabilities to any application. With AWS Transcribe, you get features that help to produce easy to read and review transcription while ingesting audio or video input, improved customization accuracy, and content filtration for customer privacy.
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AWS Transcribe Video and Audio Transcription is designed to process live and recorded video or audio input to offer high-quality transcription for search and analysis. Transcribe also provides separate APIs to uniquely understand customer calls and medical conversations. These APIs are AWS Transcribe Call Analytics and AWS Transcribe Medical. It also offers real-time transcription through which you can process any live file and receive a stream of text in response.
Features AWS Transcribe Offers
Some of the features of AWS Transcribe that are available in all supported languages are as follows:
When you create a single stream of recorded audio or transcript for each audio channel in an audio file. AWS Transcribe audio returns two or more transcriptions: transcription of each audio channel and a merged transcription of all audio channels. For example, if we provide audio of a phone conversation between two people to AWS Transcribe, it will return two separate audio channels.
When we input an audio or video file to AWS Transcribe it automatically detects the dominant language in it. Moreover, you also get the option to give language suggestions in your request using which AWS Transcribe will narrow down the possibilities of language used in the media and improve the accuracy of the transcription.
For creating subtitles using AWS Transcribe video, you can use edited content (only in US English) and vocabulary filters. Subtitles can be used to create closed captions for your video and filter inappropriate content from your subtitles.
AWS Transcribe comes with the attribute ‘speaker diarization’ when activated, which can help in detecting each speaker in the provided audio file. Speaker Diarization can be used to identify characters for closed captions, detect customer and support executives in a recorded customer support call, and detect the questioner and speaker in a recorded lecture or press conference.
If you want AWS Transcribe Audio to recognize industry-specific terms, improve the transcription accuracy and show correct acronyms, you can use a list of specific words. Custom vocabularies are often used for proper nouns or domain-specific terms that AWS Transcribe is not rendering accurately in the output.
If there are some words that you don’t want AWS Transcribe to result in the transcription, then you also get the option to mask, remove or tag words you don’t want. With the vocabulary filtering feature of AWS Transcribe Video and Audio, you can filter any word you find obscene, profane, offensive, or otherwise unsuitable to be displayed in the transcript.
How AWS Transcribe Video and Audio Transcription Work?
AWS Transcribe analyzes audio and video files containing speech using advanced machine learning (ML) techniques for transcription of voice data into text. Each language that AWS Transcribe supports has its code that can be used to identify the language in a given audio or video file.
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Using AWS Transcribe, you can transcribe an uploaded and live-stream video or audio. Batch transcription or processing or uploaded file jobs in AWS Transcribe supports MP3, MP4, AMR, FLAC, Ogg, WAV and WebM audio formats. On the other hand, in live stream processing or Streaming Transcription jobs, you can use OPUS-encoded audio in an Ogg container, FLAC, PCM 16-bit little-endian formats of audio.
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To make transcription easier for AWS Transcribe, you can also specify the sample rate in the request you sent. And to ensure that there is the highest accuracy in transcription, match the sample rate with the actual rate in your media file.
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When AWS Transcribe processes Video and Audio files for transcription, it returns the result with the highest confidence rate to define the dominant language. A developer can also specify Amazon Transcribe to return additional transcriptions with lower confidence levels that can be used to see different interpretations of the transcribed file.
Why Use AWS Transcribe Video and Audio Transcription?
The reason why one should be using AWS Transcribe Video and Audio Transcription is the benefits that it offers. So let’s take a look at the advantages that come with AWS Transcribe.
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Reduces complexity of implementation
AWS Transcribe Call Analytics terminates the “undifferentiated heavy lifting” required to put multiple AI and ML services together. You can add Transcribe Call Analytics as API output to any sales call or call center application, reducing the complexity of implementation.
ML models optimized for call analytics
Transcribe comes with natural language processing (NLP) models, pre-trained on commercial data that gives accurate transcripts of calls and actionable insights to improve executive productivity and customer experience.
Lower Medical Transcription Cost
Amazon Transcribe Medical is a scalable video and audio transcription service. The AWS Transcribe Video and Audio Transcription process enable you to pay only for the files you transcribe with no upfront commitments, long-term licenses or fixed costs. You can easily scale up or down the usage depending on your application needs.
Ease of Use
Amazon Transcribe video and audio transcription is straightforward and doesn’t require prior machine learning experience or knowledge. Developers just have to focus on building the application, by integrating with the APIs for speech recognition.
Using AWS Transcribe Video and Audio transcription makes your content accessible to a wider range of users, including hard-of-hearing and deaf groups. AWS Transcribe’s multi-language feature supports content access for non-native users.
AWS Transcribe video and audio transcription processes have become popular among medical companies, customer support organizations, and companies or individuals subtitling a video. Some of the brands that are using AWS Transcribe are Cerner, OmniMind, AMGEN, SoundLines, NASCAR, CaptionHub, and FORMULA 1.
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AWS Transcribe will not only help your business to reach wider audiences but provide valuable insights using the audio or video files that you provide. In the medical area, AWS Transcribe accurately transcribes medical terminologies like procedures, medicine names, and diseases. And being HIPAA-eligible, AWS Transcribe also prioritizes patients' data security.
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If you’re someone who is looking to implement AWS Transcribe video and audio transcription into your business applications, then you can hire developers who have acquired experience working with AWS Transcribe.