How Does AI Video Translator Work?An AI video translator works by extracting the audio from the video, transcribing it into text, translating the text into the desired language, and then creating an audio track or subtitles in that language. This process requires automatic speech recognization (ASR), natural language processing (NLP), and neural machine translation (NMT), all of which are essential in making sure the translation is both accurate and natural in tone.
ASR is the first step from translating spoken language into the text. While both Google and Microsoft provide ASR more than 90% accuracy for common languages such as English, this tends to fall down for regional dialects or languages less effectively resourced digitally. For example, Microsoft ASR has 87% accuracy for French, but higher accuracy for English. So this transcription becomes very important, since any mistake in ASR will directly affect translation.
The transcription is then passed into a Neural Machine Translation (NMT) system, another AI that is trained on millions of examples to understand context, tone, and idioms. Which works similarly to DeepL, as it employs NMT that focuses on sentence context for higher-quality translations instead of translating word by word. AI video translators process languages in real-time at speeds of up to 300 milliseconds per spoken sentence, minimizing the lag time between the original audio and translation. Speed this fast is critical for applications like live video streaming where lag will ruin the experience for viewers.
Finally, the AI converts the translated text into speech by synthesizing it as an audio file. This stage employs text-to-speech (TTS) technology where it synthesizes converted text into an audio file. Voice quality in modern TTS systems (some great examples include Google Wavenet) is almost at par with human quality now, allowing the AI to change voice tone and inflection easily. TTS quality varies, with the best systems producing audio with less than 200 milliseconds of latency and sounding just as clear as a human speaker.
As Andrew Ng puts it, “AI does not replace humans, but helps humans in reaching their most optimal capabilities,” which embodies the collaborative aspects of AI video translators. AI video translators have become increasingly popular in media, education, and corporate training, where multilingual content is in high demand. Netflix is one of the companies that leverages these tools into operating for effective localization — allowing access to people in more than 30 languages with little manual-translating effort. But the price of a high quality AI translation service varies from $0.10–0.20 per minute according to complexity and resources needed to process the language.
In response to how do AI video translators work, AI video translators use a series of advanced machine learning models to accurately and efficiently convert video content. The development of ai video translator tools is even more natural than ever before, helping create multilingual video content and facilitate cross-cultural communications.