A few hours ago a significant advance in the world of automatic transcription was announced: the evolution of Amazon Transcribe from AWS. This service, which now recognizes 100 languages, has become a benchmark thanks to its integration of generative artificial intelligence.
Recently, during the AWS re:Invent event , a notable expansion in the language capabilities of Amazon Transcribe was announced. The service, which previously handled 79 languages, can now understand and transcribe in 100 different languages. This jump is more than just a numerical increase; represents a considerable technological advance.
The basis of this achievement lies in exhaustive training with millions of hours of audio in these languages, using self-learning algorithms. This approach has allowed for greater accuracy in transcription, crucial in a world where every word counts.
One detail that I find particularly impressive is AWS’s effort to ensure that no language is over-represented. This means that less common languages receive the same attention in terms of accuracy as the more widely spoken ones. A big step towards linguistic equity in technology.
Amazon Transcribe not only stands out for the number of languages, but also for its functionalities. It offers everything from automatic scoring to custom vocabulary filters. Can you imagine how useful this can be in noisy environments or in audio and video formats?
Another interesting application is its integration with Amazon Transcribe Call Analytics. This service is a boon for contact centers as it allows interactions between agents and customers to be summarized, making post-call work much easier.
It is important to mention that AWS is not alone in this race. Otter, for example, also offers AI transcription services, and Meta is working on a translation model with similar capabilities, so the competition is tremendous. There are also free tools that do transcription, like OpenAI Whisper, and others built into the iPhone .
Finally, AWS has also improved its Amazon Personalization product, adding content generation features. This tool can create email titles or subject lines, further personalizing the user experience.
Amazon Transcribe Utilities
Amazon’s transcription tool, Amazon Transcribe, offers a wide range of practical applications in various fields. Some of the most notable utilities are:
- Automatic Subtitling : Facilitates the creation of subtitles for videos, which is essential for accessibility on streaming, educational and entertainment platforms.
- Medical Documentation : Allows healthcare professionals to dictate notes and transcribe medical consultations or reports automatically, improving the efficiency and accuracy of medical records.
- Customer Service : Used in call centers to transcribe interactions with customers, which helps in service quality analysis and agent training.
- Meetings and Conferences : Transcribe speeches and presentations in real time, making it easier to follow up and review later for attendees and those who cannot attend.
- Education and E-learning : Helps in transcribing online classes and lectures, improving accessibility and providing textual study material for students.
- Research and Interviews : Provides accurate transcripts of interviews and research sessions, saving time in the qualitative data analysis process.
- Legal and Judicial Services : Assists in the transcription of hearings and depositions, providing detailed and accurate written records.
- Translation and Localization : It can be used in combination with translation services to convert audio content in different languages to text, facilitating the localization of content.
- Journalism and Content Creation : Allows journalists and content creators to convert interviews and audio recordings into written material quickly and efficiently.
- Accessibility for the Hearing Impaired : Provides a valuable tool for converting speech to text, improving the accessibility of content for the hearing impaired.