Automatic translation of audio in various videos is possible through the use of neural network algorithms. They process it in a manner similar to the analysis of textual content by artificial intelligence. Neural networks analyze the video’s audio track, recognizing speech and translating it into the selected language. Some types of these networks generate translated subtitles or even re-voice the content. In this article, we learn how to translate a video using a neural network and what is required to do so.
Is It Possible to Translate Videos with Neural Networks
To translate a video into Russian with the help of a neural network, you can use services with built-in specialized algorithms and deep learning models to process video clips and change the language of the audio accompaniment. This innovative technology allows fine-tuning of the dubbing, making it more accessible to viewers and listeners, and creating subtitles in different languages. It ensures content accessibility.
How to Translate Videos Using Neural Networks
To translate a video into English using a neural network, it’s essential to decide which type is best to apply. The choice should be based on the expected result. If the user needs to watch reality content, browser versions of artificial intelligence are more suitable. Such a service runs, and everything that is viewed on the pages is automatically translated over the original sound.
If video file processing is required, it is recommended to use full versions of neural networks. They are accessible from official websites, require content to be uploaded for processing, and allow it to be downloaded after the process is complete.
Types of Neural Networks
To translate a video from one language to another or to perform other tasks related to video analysis, various types of artificial intelligence services can be used. Users have the option to choose its type from the following options:
- Convolutional - used for analyzing each frame of video content; besides translation, they are applied for object classification tasks, motion detection, or facial recognition.
- Recurrent - for analyzing the audio track, used for speech recognition or generating subtitles.
- LSTM, a subtype of recurrent, are utilized for processing sequential data in the audio track.
- Transformers - such as BERT or GPT, are adapted for processing video content and audio tracks.
- Autoencoders – for extracting key features from audio.
A video can be translated quickly using Yandex’s neural network. This can be done in the Yandex browser and mobile apps. This function can be transferred to any other browser due to the integration of the service extension. When starting a video from YouTube, another video hosting, or a website, the system asks whether to translate. If the user agrees and activates the translate button, the voice-over translation option is enabled, which mutes the main text.
If we look at how to translate a video using the Heygen neural network, it opens up many possibilities. This innovative service uses artificial intelligence to recognize and translate speech in video clips from one language to another. It imitates the voice and lip movements of the original speaker to create the impression that the character is speaking a new language.
The service was originally introduced as a platform with virtual avatars capable of voicing text in different languages and mimicking facial expressions and lip movements. In the subsequent beta version, a video translation feature was added, which utilizes voice recognition technologies. This allows for creating videos with full dubbing in another language, maintaining the meaning of sentences and original sound.
How to Work with Them
Video content translation can be conducted in the browser or on the official site of the neural network. In the first case, it is enough to activate the option after starting the video; in the second case, registration is required to download the clip and upload it.
The user needs to ensure that the video meets the service’s requirements. For instance, for Heygen, its duration cannot exceed 59 seconds. Supported files are in MP4, QTFF, or WEBM formats, not exceeding 500 MB.
After processing the content, users receive a video translated into the specified language, retaining the original voice and even lip movements. The processed file can be downloaded to a computer or mobile device.
Pros and Cons
Artificial intelligence has been trained on a large amount of data, allowing it to work with many different languages and dialects. Figuring out how to translate videos using a neural network can make content accessible in a language unfamiliar to the viewer.
Using the service, the user won’t need to perform manual translation. As the audio processing is done in real-time, the option can be used for watching live streams.
Despite the many advantages of making content accessible, there are also downsides. Neural networks can make mistakes in translation, particularly with complex phrases, specific terminology, or accents. The quality of automatic translation depends on the model and the complexity of the content being translated. In some cases, text editing and refinement might be necessary for it to be more accurate and natural.
