Deepmind technologies limited (20240265911). ADAPTIVE VISUAL SPEECH RECOGNITION simplified abstract
Contents
ADAPTIVE VISUAL SPEECH RECOGNITION
Organization Name
Inventor(s)
Ioannis Alexandros Assael of London (GB)
Brendan Shillingford of London (GB)
Joao Ferdinando Gomes De Freitas of London (GB)
ADAPTIVE VISUAL SPEECH RECOGNITION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240265911 titled 'ADAPTIVE VISUAL SPEECH RECOGNITION
Simplified Explanation: The patent application describes methods, systems, and apparatus for processing video data using an adaptive visual speech recognition model. This involves analyzing video frames depicting a speaker, extracting speaker characteristics, and using a neural network to recognize the spoken words.
Key Features and Innovation:
- Processing video data with a visual speech recognition neural network.
- Extracting speaker characteristics to enhance speech recognition accuracy.
- Generating a speech recognition output defining the words spoken by the speaker in the video.
Potential Applications: This technology can be applied in various fields such as video transcription, language learning, and video content analysis.
Problems Solved: The technology addresses the challenges of accurately recognizing speech in videos, especially in noisy or complex visual environments.
Benefits:
- Improved accuracy in speech recognition from videos.
- Enhanced understanding of spoken content in visual media.
- Efficient transcription and analysis of video content.
Commercial Applications: The technology can be utilized in video editing software, educational platforms, and surveillance systems for improved speech recognition and content analysis.
Prior Art: Readers can explore prior research in visual speech recognition, neural networks, and video processing to understand the evolution of this technology.
Frequently Updated Research: Stay updated on advancements in neural network technology, video processing algorithms, and speech recognition models to enhance the capabilities of this innovation.
Questions about Visual Speech Recognition: 1. How does visual speech recognition differ from traditional audio-based speech recognition? 2. What are the potential limitations of visual speech recognition technology in real-world applications?
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing video data using an adaptive visual speech recognition model. one of the methods includes receiving a video that includes a plurality of video frames that depict a first speaker: obtaining a first embedding characterizing the first speaker; and processing a first input comprising (i) the video and (ii) the first embedding using a visual speech recognition neural network having a plurality of parameters, wherein the visual speech recognition neural network is configured to process the video and the first embedding in accordance with trained values of the parameters to generate a speech recognition output that defines a sequence of one or more words being spoken by the first speaker in the video.
