By Alpana Kulkarni
Audio Medial Translation (AMT), also known as multimedia translation or audiovisual translation, refers to the translation not only of spoken or written words, but also of pictures and sound. We are familiar with "translation" as the act of expressing the meaning of words or text in another language; AMT involves expressing the meaning of images, sounds, pictures, and words together. It covers multiple translation activities and has become a necessity of the modern era. Demand for AMT will continue to grow as globalization leads to increased cultural exchange between countries, a greater exchange of ideas and art, and rising demand for multimedia material. Just look around: many people are using OTT platforms, and many are playing games on their mobiles.
What is audio medial translation?
AMT means the transfer of the verbal components contained in audiovisual works and products from one language to another. Film dubbing, film scripts, recorded speeches from conferences, narration work for films, video tapes, slides, audio tapes in different foreign languages, company profile presentations, voice-over, feature films, television programs, theatrical plays, musicals, opera, web pages, and video games all fall into the category of audiovisual products and require translation. The main methods of audio medial translation are captioning, subtitling, revoicing, dubbing, and surtitling for opera and theatre, usually for localization purposes.
The growth of audiovisual content
In the beginning, the goal of AMT was simply to distribute audio and video content, through services such as Internet TV, Skype, WeChat, and Google Voice. In recent years, an enormous growth has been observed in audiences immersed in the multimedia environment. As a result, more and more audiovisual products and innovative platforms such as YouTube, Amazon Prime, ZEE5, Netflix, and HBO are on offer. Note that almost all OTT platforms are subscription-based, and streaming providers are highly concerned about attracting more consumers. To do so, they must suit the needs of different audiences - which includes providing multilingual subtitles or dubbing for their audiovisual products. AMT is now not only a type of multilingual translation; it is also a business game.
Technical advancements have also aided the production and dissemination of audiovisual material. Audiences can access films, TV series, commercials, documentaries, and other forms of AMT much more easily. This has had a positive impact on the AMT sector, which is expanding and growing. AMT reached its pinnacle at the close of the twentieth century.
The video and audio market is vast, encompassing everything from marketing advertisements and major websites to business exhibitions, making images and videos one of the most popular means of online communication. Because the consumers of audiovisual material come from diverse cultures and languages, the importance of translation in people's daily lives cannot be overstated. The multimedia business is also increasingly catering to those with visual or auditory impairments. With more languages being translated, a greater variety of films being processed, and more translation technologies in use, the localization of audiovisual material is rapidly expanding.
AMT in education and training
The AMT discipline is highly useful in the education sector too. The COVID-19 pandemic outbreak created chaos all over the world, and most schools and colleges were unable to impart face-to-face education. Demand for e-learning activities grew exponentially. Cloud platforms such as Zoom, Webex, and Telegram have tremendous potential and were used successfully to reach students and teach them. BYJU'S, Khan Academy, and Coursera use AMT effectively to teach their subject matter. Government employees, especially village-level employees, can be trained using AMT resources in the same way that corporate companies use AMT to train their employees.
Audio medial translation tools
A few examples of audio medial translation tools follow. It should be remembered that these tools are based on machine learning and artificial intelligence.
Beta: An application programming interface (API) tool offered by Google Cloud. It enables speech translation of content and applications directly from audio data in real time, and is based on machine learning technology. It offers enhanced accuracy and simplified integration while equipping the user with a comprehensive set of features to further refine translation results. It delivers live video from the time of its capture to the viewer in 20-30 seconds, and it scales quickly with straightforward internationalization.
XTM Cloud: Translates video subtitles in real time. A person can preview a video at the click of a button and translate subtitles fully in context, then upload the subtitle file and link it with a video available on YouTube. XTM Cloud gives flexibility and control to create and edit subtitles against a streaming video. Switching between the video player and a CAT tool, pausing and rewinding to get the right word, and costly post-production work are not needed.
MemoQ: A translation software that provides users with a good collaborative environment, improves translation productivity, and helps language experts meet growing localization needs in order to handle more work.
SubtitleNEXT: A user-friendly, innovative, timed-text software platform used by various multimedia industries and designed for personal and professional use. It is adaptable to any settings, resolutions, and formats - such as AR, MR, VR, 8K, 4K, 2K, HD, SD, and 3D - across online video, TV, film, theatre, concerts, and festivals. It can be applied throughout the entire video production process from concept to distribution, simplifies processes across the whole work cycle, is fully customizable and intuitive, and delivers quality results with accuracy and speed.
Conclusion
In audiovisual content, the meaning of words is affected by sound and image. It must be remembered that machine translation engines do not understand context and merely reproduce existing translations, which makes machine translation less suitable for audiovisual translation on its own. Audio medial translation brings new opportunities to the field of translation.
